1
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Baier H, Scott EK. The Visual Systems of Zebrafish. Annu Rev Neurosci 2024; 47:255-276. [PMID: 38663429 DOI: 10.1146/annurev-neuro-111020-104854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2024]
Abstract
The zebrafish visual system has become a paradigmatic preparation for behavioral and systems neuroscience. Around 40 types of retinal ganglion cells (RGCs) serve as matched filters for stimulus features, including light, optic flow, prey, and objects on a collision course. RGCs distribute their signals via axon collaterals to 12 retinorecipient areas in forebrain and midbrain. The major visuomotor hub, the optic tectum, harbors nine RGC input layers that combine information on multiple features. The retinotopic map in the tectum is locally adapted to visual scene statistics and visual subfield-specific behavioral demands. Tectal projections to premotor centers are topographically organized according to behavioral commands. The known connectivity in more than 20 processing streams allows us to dissect the cellular basis of elementary perceptual and cognitive functions. Visually evoked responses, such as prey capture or loom avoidance, are controlled by dedicated multistation pathways that-at least in the larva-resemble labeled lines. This architecture serves the neuronal code's purpose of driving adaptive behavior.
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Affiliation(s)
- Herwig Baier
- Department of Genes-Circuits-Behavior, Max Planck Institute for Biological Intelligence, Martinsried, Germany;
| | - Ethan K Scott
- Department of Anatomy and Physiology, School of Biomedical Sciences, The University of Melbourne, Parkville, Victoria, Australia
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2
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Zaupa M, Nagaraj N, Sylenko A, Baier H, Sawamiphak S, Filosa A. The Calmodulin-interacting peptide Pcp4a regulates feeding state-dependent behavioral choice in zebrafish. Neuron 2024; 112:1150-1164.e6. [PMID: 38295792 DOI: 10.1016/j.neuron.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 10/06/2023] [Accepted: 01/02/2024] [Indexed: 04/06/2024]
Abstract
Animals constantly need to judge the valence of an object in their environment: is it potential food or a threat? The brain makes fundamental decisions on the appropriate behavioral strategy by integrating external information from sensory organs and internal signals related to physiological needs. For example, a hungry animal may take more risks than a satiated one when deciding to approach or avoid an object. Using a proteomic profiling approach, we identified the Calmodulin-interacting peptide Pcp4a as a key regulator of foraging-related decisions. Food intake reduced abundance of protein and mRNA of pcp4a via dopamine D2-like receptor-mediated repression of adenylate cyclase. Accordingly, deleting the pcp4a gene made zebrafish larvae more risk averse in a binary decision assay. Strikingly, neurons in the tectum became less responsive to prey-like visual stimuli in pcp4a mutants, thus biasing the behavior toward avoidance. This study pinpoints a molecular mechanism modulating behavioral choice according to internal state.
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Affiliation(s)
- Margherita Zaupa
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13092 Berlin, Germany; Freie Universität Berlin, Institute for Biology, 14195 Berlin, Germany
| | - Nagarjuna Nagaraj
- Biochemistry Core Facility, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Anna Sylenko
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13092 Berlin, Germany; Freie Universität Berlin, Institute for Biology, 14195 Berlin, Germany
| | - Herwig Baier
- Max Planck Institute for Biological Intelligence, 82152 Martinsried, Germany
| | - Suphansa Sawamiphak
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13092 Berlin, Germany
| | - Alessandro Filosa
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13092 Berlin, Germany.
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3
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Palieri V, Paoli E, Wu YK, Haesemeyer M, Grunwald Kadow IC, Portugues R. The preoptic area and dorsal habenula jointly support homeostatic navigation in larval zebrafish. Curr Biol 2024; 34:489-504.e7. [PMID: 38211586 PMCID: PMC10849091 DOI: 10.1016/j.cub.2023.12.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 11/22/2023] [Accepted: 12/11/2023] [Indexed: 01/13/2024]
Abstract
Animals must maintain physiological processes within an optimal temperature range despite changes in their environment. Through behavioral assays, whole-brain functional imaging, and neural ablations, we show that larval zebrafish, an ectothermic vertebrate, achieves thermoregulation through homeostatic navigation-non-directional and directional movements toward the temperature closest to its physiological setpoint. A brain-wide circuit encompassing several brain regions enables this behavior. We identified the preoptic area of the hypothalamus (PoA) as a key brain structure in triggering non-directional reorientation when thermal conditions are worsening. This result shows an evolutionary conserved role of the PoA as principal thermoregulator of the brain also in ectotherms. We further show that the habenula (Hb)-interpeduncular nucleus (IPN) circuit retains a short-term memory of the sensory history to support the generation of coherent directed movements even in the absence of continuous sensory cues. We finally provide evidence that this circuit may not be exclusive for temperature but may convey a more abstract representation of relative valence of physiologically meaningful stimuli regardless of their specific identity to enable homeostatic navigation.
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Affiliation(s)
- Virginia Palieri
- Institute of Neuroscience, Technical University of Munich, Biedersteiner Strasse 29, 80802 Munich, Germany; School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Emanuele Paoli
- Institute of Neuroscience, Technical University of Munich, Biedersteiner Strasse 29, 80802 Munich, Germany
| | - You Kure Wu
- Institute of Neuroscience, Technical University of Munich, Biedersteiner Strasse 29, 80802 Munich, Germany
| | - Martin Haesemeyer
- Department of Neuroscience, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Ilona C Grunwald Kadow
- School of Life Sciences, Technical University of Munich, Freising, Germany; Institute of Physiology II, University of Bonn, Medical Faculty (UKB), Nussallee 11, 53115 Bonn, Germany.
| | - Ruben Portugues
- Institute of Neuroscience, Technical University of Munich, Biedersteiner Strasse 29, 80802 Munich, Germany; Munich Cluster of Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377 Munich, Germany.
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4
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Barabási DL, Schuhknecht GFP, Engert F. Functional neuronal circuits emerge in the absence of developmental activity. Nat Commun 2024; 15:364. [PMID: 38191595 PMCID: PMC10774424 DOI: 10.1038/s41467-023-44681-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 12/29/2023] [Indexed: 01/10/2024] Open
Abstract
The complex neuronal circuitry of the brain develops from limited information contained in the genome. After the genetic code instructs the birth of neurons, the emergence of brain regions, and the formation of axon tracts, it is believed that temporally structured spiking activity shapes circuits for behavior. Here, we challenge the learning-dominated assumption that spiking activity is required for circuit formation by quantifying its contribution to the development of visually-guided swimming in the larval zebrafish. We found that visual experience had no effect on the emergence of the optomotor response (OMR) in dark-reared zebrafish. We then raised animals while pharmacologically silencing action potentials with the sodium channel blocker tricaine. After washout of the anesthetic, fish could swim and performed with 75-90% accuracy in the OMR paradigm. Brain-wide imaging confirmed that neuronal circuits came 'online' fully tuned, without requiring activity-dependent plasticity. Thus, complex sensory-guided behaviors can emerge through activity-independent developmental mechanisms.
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Affiliation(s)
- Dániel L Barabási
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
- Biophysics Program, Harvard University, Cambridge, MA, USA.
| | | | - Florian Engert
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
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5
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Feierstein CE, de Goeij MHM, Ostrovsky AD, Laborde A, Portugues R, Orger MB, Machens CK. Dimensionality reduction reveals separate translation and rotation populations in the zebrafish hindbrain. Curr Biol 2023; 33:3911-3925.e6. [PMID: 37689065 PMCID: PMC10524920 DOI: 10.1016/j.cub.2023.08.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 07/07/2023] [Accepted: 08/14/2023] [Indexed: 09/11/2023]
Abstract
In many brain areas, neuronal activity is associated with a variety of behavioral and environmental variables. In particular, neuronal responses in the zebrafish hindbrain relate to oculomotor and swimming variables as well as sensory information. However, the precise functional organization of the neurons has been difficult to unravel because neuronal responses are heterogeneous. Here, we used dimensionality reduction methods on neuronal population data to reveal the role of the hindbrain in visually driven oculomotor behavior and swimming. We imaged neuronal activity in zebrafish expressing GCaMP6s in the nucleus of almost all neurons while monitoring the behavioral response to gratings that rotated with different speeds. We then used reduced-rank regression, a method that condenses the sensory and motor variables into a smaller number of "features," to predict the fluorescence traces of all ROIs (regions of interest). Despite the potential complexity of the visuo-motor transformation, our analysis revealed that a large fraction of the population activity can be explained by only two features. Based on the contribution of these features to each ROI's activity, ROIs formed three clusters. One cluster was related to vergent movements and swimming, whereas the other two clusters related to leftward and rightward rotation. Voxels corresponding to these clusters were segregated anatomically, with leftward and rightward rotation clusters located selectively to the left and right hemispheres, respectively. Just as described in many cortical areas, our analysis revealed that single-neuron complexity co-exists with a simpler population-level description, thereby providing insights into the organization of visuo-motor transformations in the hindbrain.
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Affiliation(s)
- Claudia E Feierstein
- Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon 1400-038, Portugal.
| | - Michelle H M de Goeij
- Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon 1400-038, Portugal; Faculty of Medicine, Utrecht University, Utrecht 3584 CG, the Netherlands; Pfizer BV, Capelle aan den Ijssel 2909 LD, the Netherlands
| | - Aaron D Ostrovsky
- Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon 1400-038, Portugal
| | - Alexandre Laborde
- Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon 1400-038, Portugal
| | - Ruben Portugues
- Institute of Neuroscience, Technical University, Munich 80802, Germany; Munich Cluster of Systems Neurology (SyNergy), Munich 81377, Germany
| | - Michael B Orger
- Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon 1400-038, Portugal.
| | - Christian K Machens
- Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon 1400-038, Portugal.
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6
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Cai LT, Krishna VS, Hladnik TC, Guilbeault NC, Vijayakumar C, Arunachalam M, Juntti SA, Arrenberg AB, Thiele TR, Cooper EA. Spatiotemporal visual statistics of aquatic environments in the natural habitats of zebrafish. Sci Rep 2023; 13:12028. [PMID: 37491571 PMCID: PMC10368656 DOI: 10.1038/s41598-023-36099-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 05/29/2023] [Indexed: 07/27/2023] Open
Abstract
Animal sensory systems are tightly adapted to the demands of their environment. In the visual domain, research has shown that many species have circuits and systems that exploit statistical regularities in natural visual signals. The zebrafish is a popular model animal in visual neuroscience, but relatively little quantitative data is available about the visual properties of the aquatic habitats where zebrafish reside, as compared to terrestrial environments. Improving our understanding of the visual demands of the aquatic habitats of zebrafish can enhance the insights about sensory neuroscience yielded by this model system. We analyzed a video dataset of zebrafish habitats captured by a stationary camera and compared this dataset to videos of terrestrial scenes in the same geographic area. Our analysis of the spatiotemporal structure in these videos suggests that zebrafish habitats are characterized by low visual contrast and strong motion when compared to terrestrial environments. Similar to terrestrial environments, zebrafish habitats tended to be dominated by dark contrasts, particularly in the lower visual field. We discuss how these properties of the visual environment can inform the study of zebrafish visual behavior and neural processing and, by extension, can inform our understanding of the vertebrate brain.
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Affiliation(s)
- Lanya T Cai
- Herbert Wertheim School of Optometry & Vision Science, University of California, Berkeley, CA, USA
| | - Venkatesh S Krishna
- Department of Biological Sciences, University of Toronto, Scarborough, ON, Canada
| | - Tim C Hladnik
- Werner Reichardt Centre for Integrative Neuroscience, Institute of Neurobiology, University of Tübingen, Tübingen, Germany
- Graduate Training Centre for Neuroscience, University of Tübingen, Tübingen, Germany
| | - Nicholas C Guilbeault
- Department of Biological Sciences, University of Toronto, Scarborough, ON, Canada
- Department of Cell and Systems Biology, University of Toronto, Toronto, Canada
| | - Chinnian Vijayakumar
- Department of Zoology, Department of Zoology, St. Andrew's College, Gorakhpur, Uttar Pradesh, India
| | - Muthukumarasamy Arunachalam
- Department of Zoology, School of Biological Sciences, Central University of Kerala, Kasaragod, Kerala, India
- Centre for Inland Fishes and Conservation, St. Andrew's College, Gorakhpur, Uttar Pradesh, India
| | - Scott A Juntti
- Department of Biology, University of Maryland, College Park, MD, USA
| | - Aristides B Arrenberg
- Werner Reichardt Centre for Integrative Neuroscience, Institute of Neurobiology, University of Tübingen, Tübingen, Germany
| | - Tod R Thiele
- Department of Biological Sciences, University of Toronto, Scarborough, ON, Canada.
- Department of Cell and Systems Biology, University of Toronto, Toronto, Canada.
| | - Emily A Cooper
- Herbert Wertheim School of Optometry & Vision Science, University of California, Berkeley, CA, USA.
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.
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7
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Vijayan V, Wang F, Wang K, Chakravorty A, Adachi A, Akhlaghpour H, Dickson BJ, Maimon G. A rise-to-threshold process for a relative-value decision. Nature 2023; 619:563-571. [PMID: 37407812 PMCID: PMC10356611 DOI: 10.1038/s41586-023-06271-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 05/26/2023] [Indexed: 07/07/2023]
Abstract
Whereas progress has been made in the identification of neural signals related to rapid, cued decisions1-3, less is known about how brains guide and terminate more ethologically relevant decisions in which an animal's own behaviour governs the options experienced over minutes4-6. Drosophila search for many seconds to minutes for egg-laying sites with high relative value7,8 and have neurons, called oviDNs, whose activity fulfills necessity and sufficiency criteria for initiating the egg-deposition motor programme9. Here we show that oviDNs express a calcium signal that (1) dips when an egg is internally prepared (ovulated), (2) drifts up and down over seconds to minutes-in a manner influenced by the relative value of substrates-as a fly determines whether to lay an egg and (3) reaches a consistent peak level just before the abdomen bend for egg deposition. This signal is apparent in the cell bodies of oviDNs in the brain and it probably reflects a behaviourally relevant rise-to-threshold process in the ventral nerve cord, where the synaptic terminals of oviDNs are located and where their output can influence behaviour. We provide perturbational evidence that the egg-deposition motor programme is initiated once this process hits a threshold and that subthreshold variation in this process regulates the time spent considering options and, ultimately, the choice taken. Finally, we identify a small recurrent circuit that feeds into oviDNs and show that activity in each of its constituent cell types is required for laying an egg. These results argue that a rise-to-threshold process regulates a relative-value, self-paced decision and provide initial insight into the underlying circuit mechanism for building this process.
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Affiliation(s)
- Vikram Vijayan
- Laboratory of Integrative Brain Function and Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA.
| | - Fei Wang
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Kaiyu Wang
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
- Lingang Laboratory, Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China
| | - Arun Chakravorty
- Laboratory of Integrative Brain Function and Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Atsuko Adachi
- Laboratory of Integrative Brain Function and Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
| | - Hessameddin Akhlaghpour
- Laboratory of Integrative Brain Function and Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA
| | - Barry J Dickson
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
- Queensland Brain Institute, University of Queensland, St Lucia, Queensland, Australia
| | - Gaby Maimon
- Laboratory of Integrative Brain Function and Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA.
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8
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Petrucco L, Lavian H, Wu YK, Svara F, Štih V, Portugues R. Neural dynamics and architecture of the heading direction circuit in zebrafish. Nat Neurosci 2023; 26:765-773. [PMID: 37095397 PMCID: PMC10166860 DOI: 10.1038/s41593-023-01308-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 03/16/2023] [Indexed: 04/26/2023]
Abstract
Animals generate neural representations of their heading direction. Notably, in insects, heading direction is topographically represented by the activity of neurons in the central complex. Although head direction cells have been found in vertebrates, the connectivity that endows them with their properties is unknown. Using volumetric lightsheet imaging, we find a topographical representation of heading direction in a neuronal network in the zebrafish anterior hindbrain, where a sinusoidal bump of activity rotates following directional swims of the fish and is otherwise stable over many seconds. Electron microscopy reconstructions show that, although the cell bodies are located in a dorsal region, these neurons arborize in the interpeduncular nucleus, where reciprocal inhibitory connectivity stabilizes the ring attractor network that encodes heading. These neurons resemble those found in the fly central complex, showing that similar circuit architecture principles may underlie the representation of heading direction across the animal kingdom and paving the way to an unprecedented mechanistic understanding of these networks in vertebrates.
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Affiliation(s)
- Luigi Petrucco
- Institute of Neuroscience, Technical University of Munich, Munich, Germany
- Graduate School of Systemic Neurosciences, Ludwig-Maximilian University, Munich, Germany
| | - Hagar Lavian
- Institute of Neuroscience, Technical University of Munich, Munich, Germany
| | - You Kure Wu
- Institute of Neuroscience, Technical University of Munich, Munich, Germany
| | - Fabian Svara
- Department of Computational Neuroethology, Max Planck Institute for Neurobiology of Behavior - caesar, Bonn, Germany
| | | | - Ruben Portugues
- Institute of Neuroscience, Technical University of Munich, Munich, Germany.
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany.
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9
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Zhu SI, Goodhill GJ. From perception to behavior: The neural circuits underlying prey hunting in larval zebrafish. Front Neural Circuits 2023; 17:1087993. [PMID: 36817645 PMCID: PMC9928868 DOI: 10.3389/fncir.2023.1087993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/10/2023] [Indexed: 02/04/2023] Open
Abstract
A key challenge for neural systems is to extract relevant information from the environment and make appropriate behavioral responses. The larval zebrafish offers an exciting opportunity for studying these sensing processes and sensory-motor transformations. Prey hunting is an instinctual behavior of zebrafish that requires the brain to extract and combine different attributes of the sensory input and form appropriate motor outputs. Due to its small size and transparency the larval zebrafish brain allows optical recording of whole-brain activity to reveal the neural mechanisms involved in prey hunting and capture. In this review we discuss how the larval zebrafish brain processes visual information to identify and locate prey, the neural circuits governing the generation of motor commands in response to prey, how hunting behavior can be modulated by internal states and experience, and some outstanding questions for the field.
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Affiliation(s)
- Shuyu I. Zhu
- Departments of Developmental Biology and Neuroscience, Washington University in St. Louis, St. Louis, MO, United States
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10
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Yang E, Zwart MF, James B, Rubinov M, Wei Z, Narayan S, Vladimirov N, Mensh BD, Fitzgerald JE, Ahrens MB. A brainstem integrator for self-location memory and positional homeostasis in zebrafish. Cell 2022; 185:5011-5027.e20. [PMID: 36563666 DOI: 10.1016/j.cell.2022.11.022] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 06/28/2022] [Accepted: 11/21/2022] [Indexed: 12/24/2022]
Abstract
To track and control self-location, animals integrate their movements through space. Representations of self-location are observed in the mammalian hippocampal formation, but it is unknown if positional representations exist in more ancient brain regions, how they arise from integrated self-motion, and by what pathways they control locomotion. Here, in a head-fixed, fictive-swimming, virtual-reality preparation, we exposed larval zebrafish to a variety of involuntary displacements. They tracked these displacements and, many seconds later, moved toward their earlier location through corrective swimming ("positional homeostasis"). Whole-brain functional imaging revealed a network in the medulla that stores a memory of location and induces an error signal in the inferior olive to drive future corrective swimming. Optogenetically manipulating medullary integrator cells evoked displacement-memory behavior. Ablating them, or downstream olivary neurons, abolished displacement corrections. These results reveal a multiregional hindbrain circuit in vertebrates that integrates self-motion and stores self-location to control locomotor behavior.
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Affiliation(s)
- En Yang
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA.
| | - Maarten F Zwart
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA; School of Psychology and Neuroscience, Centre for Biophotonics, University of St Andrews, St. Andrews, UK
| | - Ben James
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
| | - Mikail Rubinov
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA
| | - Ziqiang Wei
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
| | - Sujatha Narayan
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
| | - Nikita Vladimirov
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA; URPP Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland
| | - Brett D Mensh
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
| | - James E Fitzgerald
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
| | - Misha B Ahrens
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA.
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11
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Thurley K. Naturalistic neuroscience and virtual reality. Front Syst Neurosci 2022; 16:896251. [PMID: 36467978 PMCID: PMC9712202 DOI: 10.3389/fnsys.2022.896251] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 10/31/2022] [Indexed: 04/04/2024] Open
Abstract
Virtual reality (VR) is one of the techniques that became particularly popular in neuroscience over the past few decades. VR experiments feature a closed-loop between sensory stimulation and behavior. Participants interact with the stimuli and not just passively perceive them. Several senses can be stimulated at once, large-scale environments can be simulated as well as social interactions. All of this makes VR experiences more natural than those in traditional lab paradigms. Compared to the situation in field research, a VR simulation is highly controllable and reproducible, as required of a laboratory technique used in the search for neural correlates of perception and behavior. VR is therefore considered a middle ground between ecological validity and experimental control. In this review, I explore the potential of VR in eliciting naturalistic perception and behavior in humans and non-human animals. In this context, I give an overview of recent virtual reality approaches used in neuroscientific research.
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Affiliation(s)
- Kay Thurley
- Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany
- Bernstein Center for Computational Neuroscience Munich, Munich, Germany
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12
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Wagle M, Zarei M, Lovett-Barron M, Poston KT, Xu J, Ramey V, Pollard KS, Prober DA, Schulkin J, Deisseroth K, Guo S. Brain-wide perception of the emotional valence of light is regulated by distinct hypothalamic neurons. Mol Psychiatry 2022; 27:3777-3793. [PMID: 35484242 PMCID: PMC9613822 DOI: 10.1038/s41380-022-01567-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 02/25/2022] [Accepted: 04/06/2022] [Indexed: 02/08/2023]
Abstract
Salient sensory stimuli are perceived by the brain, which guides both the timing and outcome of behaviors in a context-dependent manner. Light is such a stimulus, which is used in treating mood disorders often associated with a dysregulated hypothalamic-pituitary-adrenal stress axis. Relationships between the emotional valence of light and the hypothalamus, and how they interact to exert brain-wide impacts remain unclear. Employing larval zebrafish with analogous hypothalamic systems to mammals, we show in free-swimming animals that hypothalamic corticotropin releasing factor (CRFHy) neurons promote dark avoidance, and such role is not shared by other hypothalamic peptidergic neurons. Single-neuron projection analyses uncover processes extended by individual CRFHy neurons to multiple targets including sensorimotor and decision-making areas. In vivo calcium imaging uncovers a complex and heterogeneous response of individual CRFHy neurons to the light or dark stimulus, with a reduced overall sum of CRF neuronal activity in the presence of light. Brain-wide calcium imaging under alternating light/dark stimuli further identifies distinct and distributed photic response neuronal types. CRFHy neuronal ablation increases an overall representation of light in the brain and broadly enhances the functional connectivity associated with an exploratory brain state. These findings delineate brain-wide photic perception, uncover a previously unknown role of CRFHy neurons in regulating the perception and emotional valence of light, and suggest that light therapy may alleviate mood disorders through reducing an overall sum of CRF neuronal activity.
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Affiliation(s)
- Mahendra Wagle
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, 94143-2811, USA
| | - Mahdi Zarei
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, 94143-2811, USA
| | - Matthew Lovett-Barron
- Department of Bioengineering, Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
- Neurobiology Section, Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Kristina Tyler Poston
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, 94143-2811, USA
| | - Jin Xu
- Tianqiao and Chrissy Chen Institute for Neuroscience, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Vince Ramey
- Biophysics Graduate Group, University of California, Berkeley, CA, USA
- Invitae Inc., San Francisco, CA, USA
| | - Katherine S Pollard
- Gladstone Institute of Data Science & Biotechnology, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - David A Prober
- Tianqiao and Chrissy Chen Institute for Neuroscience, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Jay Schulkin
- Department of Obstetrics & Gynecology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Karl Deisseroth
- Department of Bioengineering, Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Su Guo
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, 94143-2811, USA.
- Programs in Human Genetics and Biological Sciences, Kavli Institute of Fundamental Neuroscience, The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, Bakar Aging Research Institute, University of California, San Francisco, CA, 94143-2811, USA.
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13
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Wang XJ. Theory of the Multiregional Neocortex: Large-Scale Neural Dynamics and Distributed Cognition. Annu Rev Neurosci 2022; 45:533-560. [PMID: 35803587 DOI: 10.1146/annurev-neuro-110920-035434] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
The neocortex is a complex neurobiological system with many interacting regions. How these regions work together to subserve flexible behavior and cognition has become increasingly amenable to rigorous research. Here, I review recent experimental and theoretical work on the modus operandi of a multiregional cortex. These studies revealed several general principles for the neocortical interareal connectivity, low-dimensional macroscopic gradients of biological properties across cortical areas, and a hierarchy of timescales for information processing. Theoretical work suggests testable predictions regarding differential excitation and inhibition along feedforward and feedback pathways in the cortical hierarchy. Furthermore, modeling of distributed working memory and simple decision-making has given rise to a novel mathematical concept, dubbed bifurcation in space, that potentially explains how different cortical areas, with a canonical circuit organization but gradients of biological heterogeneities, are able to subserve their respective (e.g., sensory coding versus executive control) functions in a modularly organized brain.
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Affiliation(s)
- Xiao-Jing Wang
- Center for Neural Science, New York University, New York, NY, USA;
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14
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Lin A, Witvliet D, Hernandez-Nunez L, Linderman SW, Samuel ADT, Venkatachalam V. Imaging whole-brain activity to understand behavior. NATURE REVIEWS. PHYSICS 2022; 4:292-305. [PMID: 37409001 PMCID: PMC10320740 DOI: 10.1038/s42254-022-00430-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/25/2022] [Indexed: 07/07/2023]
Abstract
The brain evolved to produce behaviors that help an animal inhabit the natural world. During natural behaviors, the brain is engaged in many levels of activity from the detection of sensory inputs to decision-making to motor planning and execution. To date, most brain studies have focused on small numbers of neurons that interact in limited circuits. This allows analyzing individual computations or steps of neural processing. During behavior, however, brain activity must integrate multiple circuits in different brain regions. The activities of different brain regions are not isolated, but may be contingent on one another. Coordinated and concurrent activity within and across brain areas is organized by (1) sensory information from the environment, (2) the animal's internal behavioral state, and (3) recurrent networks of synaptic and non-synaptic connectivity. Whole-brain recording with cellular resolution provides a new opportunity to dissect the neural basis of behavior, but whole-brain activity is also mutually contingent on behavior itself. This is especially true for natural behaviors like navigation, mating, or hunting, which require dynamic interaction between the animal, its environment, and other animals. In such behaviors, the sensory experience of an unrestrained animal is actively shaped by its movements and decisions. Many of the signaling and feedback pathways that an animal uses to guide behavior only occur in freely moving animals. Recent technological advances have enabled whole-brain recording in small behaving animals including nematodes, flies, and zebrafish. These whole-brain experiments capture neural activity with cellular resolution spanning sensory, decision-making, and motor circuits, and thereby demand new theoretical approaches that integrate brain dynamics with behavioral dynamics. Here, we review the experimental and theoretical methods that are being employed to understand animal behavior and whole-brain activity, and the opportunities for physics to contribute to this emerging field of systems neuroscience.
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Affiliation(s)
- Albert Lin
- Department of Physics, Harvard University, Cambridge, MA, USA
- Center for Brain Science, Harvard University, Cambridge, MA, USA
- Center for the Physics of Biological Function, Princeton University, Princeton, NJ, USA
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Daniel Witvliet
- Department of Physics, Harvard University, Cambridge, MA, USA
- Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Luis Hernandez-Nunez
- Center for Brain Science, Harvard University, Cambridge, MA, USA
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Scott W Linderman
- Department of Statistics, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Aravinthan D T Samuel
- Department of Physics, Harvard University, Cambridge, MA, USA
- Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Vivek Venkatachalam
- Center for Brain Science, Harvard University, Cambridge, MA, USA
- Department of Physics, Northeastern University, Boston, MA, USA
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15
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Vrontou E, Groschner LN, Szydlowski S, Brain R, Krebbers A, Miesenböck G. Response competition between neurons and antineurons in the mushroom body. Curr Biol 2021; 31:4911-4922.e4. [PMID: 34610272 PMCID: PMC8612741 DOI: 10.1016/j.cub.2021.09.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 08/03/2021] [Accepted: 09/03/2021] [Indexed: 11/04/2022]
Abstract
The mushroom bodies of Drosophila contain circuitry compatible with race models of perceptual choice. When flies discriminate odor intensity differences, opponent pools of αβ core Kenyon cells (on and off αβc KCs) accumulate evidence for increases or decreases in odor concentration. These sensory neurons and “antineurons” connect to a layer of mushroom body output neurons (MBONs) which bias behavioral intent in opposite ways. All-to-all connectivity between the competing integrators and their MBON partners allows for correct and erroneous decisions; dopaminergic reinforcement sets choice probabilities via reciprocal changes to the efficacies of on and off KC synapses; and pooled inhibition between αβc KCs can establish equivalence with the drift-diffusion formalism known to describe behavioral performance. The response competition network gives tangible form to many features envisioned in theoretical models of mammalian decision making, but it differs from these models in one respect: the principal variables—the fill levels of the integrators and the strength of inhibition between them—are represented by graded potentials rather than spikes. In pursuit of similar computational goals, a small brain may thus prioritize the large information capacity of analog signals over the robustness and temporal processing span of pulsatile codes. Mushroom body output neurons respond with excitation to odor on- and offset On and off responses reflect the convergence of oppositely tuned Kenyon cells (KCs) Opponent KCs compete by eliciting inhibitory feedback from a common interneuron pool KCs and interneurons communicate through graded potentials rather than spikes
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Affiliation(s)
- Eleftheria Vrontou
- Centre for Neural Circuits and Behaviour, University of Oxford, Tinsley Building, Mansfield Road, Oxford OX1 3SR, UK
| | - Lukas N Groschner
- Centre for Neural Circuits and Behaviour, University of Oxford, Tinsley Building, Mansfield Road, Oxford OX1 3SR, UK
| | - Susanne Szydlowski
- Centre for Neural Circuits and Behaviour, University of Oxford, Tinsley Building, Mansfield Road, Oxford OX1 3SR, UK
| | - Ruth Brain
- Centre for Neural Circuits and Behaviour, University of Oxford, Tinsley Building, Mansfield Road, Oxford OX1 3SR, UK
| | - Alina Krebbers
- Centre for Neural Circuits and Behaviour, University of Oxford, Tinsley Building, Mansfield Road, Oxford OX1 3SR, UK
| | - Gero Miesenböck
- Centre for Neural Circuits and Behaviour, University of Oxford, Tinsley Building, Mansfield Road, Oxford OX1 3SR, UK.
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16
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Markov DA, Petrucco L, Kist AM, Portugues R. A cerebellar internal model calibrates a feedback controller involved in sensorimotor control. Nat Commun 2021; 12:6694. [PMID: 34795244 PMCID: PMC8602262 DOI: 10.1038/s41467-021-26988-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 10/28/2021] [Indexed: 11/18/2022] Open
Abstract
Animals must adapt their behavior to survive in a changing environment. Behavioral adaptations can be evoked by two mechanisms: feedback control and internal-model-based control. Feedback controllers can maintain the sensory state of the animal at a desired level under different environmental conditions. In contrast, internal models learn the relationship between the motor output and its sensory consequences and can be used to recalibrate behaviors. Here, we present multiple unpredictable perturbations in visual feedback to larval zebrafish performing the optomotor response and show that they react to these perturbations through a feedback control mechanism. In contrast, if a perturbation is long-lasting, fish adapt their behavior by updating a cerebellum-dependent internal model. We use modelling and functional imaging to show that the neuronal requirements for these mechanisms are met in the larval zebrafish brain. Our results illustrate the role of the cerebellum in encoding internal models and how these can calibrate neuronal circuits involved in reactive behaviors depending on the interactions between animal and environment.
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Affiliation(s)
- Daniil A Markov
- Sensorimotor Control Research Group, Max Planck Institute of Neurobiology, 82152, Martinsried, Germany
| | - Luigi Petrucco
- Sensorimotor Control Research Group, Max Planck Institute of Neurobiology, 82152, Martinsried, Germany
- Institute of Neuroscience, Technical University of Munich, 80802, Munich, Germany
| | - Andreas M Kist
- Sensorimotor Control Research Group, Max Planck Institute of Neurobiology, 82152, Martinsried, Germany
- Division of Phoniatrics and Pediatric Audiology, Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Ruben Portugues
- Sensorimotor Control Research Group, Max Planck Institute of Neurobiology, 82152, Martinsried, Germany.
- Institute of Neuroscience, Technical University of Munich, 80802, Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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17
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Harpaz R, Aspiras AC, Chambule S, Tseng S, Bind MA, Engert F, Fishman MC, Bahl A. Collective behavior emerges from genetically controlled simple behavioral motifs in zebrafish. SCIENCE ADVANCES 2021; 7:eabi7460. [PMID: 34613782 PMCID: PMC8494438 DOI: 10.1126/sciadv.abi7460] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 08/13/2021] [Indexed: 06/13/2023]
Abstract
It is not understood how changes in the genetic makeup of individuals alter the behavior of groups of animals. Here, we find that, even at early larval stages, zebrafish regulate their proximity and alignment with each other. Two simple visual responses, one that measures relative visual field occupancy and one that accounts for global visual motion, suffice to account for the group behavior that emerges. Mutations in genes known to affect social behavior in humans perturb these simple reflexes in individual larval zebrafish and change their emergent collective behaviors in the predicted fashion. Model simulations show that changes in these two responses in individual mutant animals predict well the distinctive collective patterns that emerge in a group. Hence, group behaviors reflect in part genetically defined primitive sensorimotor “motifs,” which are evident even in young larvae.
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Affiliation(s)
- Roy Harpaz
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA
- Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Ariel C. Aspiras
- Harvard Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Sydney Chambule
- Harvard Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Sierra Tseng
- Harvard Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Marie-Abèle Bind
- Biostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Florian Engert
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA
- Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Mark C. Fishman
- Harvard Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Armin Bahl
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA
- Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz 78464, Germany
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18
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Rodríguez F, Quintero B, Amores L, Madrid D, Salas-Peña C, Salas C. Spatial Cognition in Teleost Fish: Strategies and Mechanisms. Animals (Basel) 2021; 11:2271. [PMID: 34438729 PMCID: PMC8388456 DOI: 10.3390/ani11082271] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 07/20/2021] [Accepted: 07/28/2021] [Indexed: 01/25/2023] Open
Abstract
Teleost fish have been traditionally considered primitive vertebrates compared to mammals and birds in regard to brain complexity and behavioral functions. However, an increasing amount of evidence suggests that teleosts show advanced cognitive capabilities including spatial navigation skills that parallel those of land vertebrates. Teleost fish rely on a multiplicity of sensory cues and can use a variety of spatial strategies for navigation, ranging from relatively simple body-centered orientation responses to allocentric or "external world-centered" navigation, likely based on map-like relational memory representations of the environment. These distinct spatial strategies are based on separate brain mechanisms. For example, a crucial brain center for egocentric orientation in teleost fish is the optic tectum, which can be considered an essential hub in a wider brain network responsible for the generation of egocentrically referenced actions in space. In contrast, other brain centers, such as the dorsolateral telencephalic pallium of teleost fish, considered homologue to the hippocampal pallium of land vertebrates, seem to be crucial for allocentric navigation based on map-like spatial memory. Such hypothetical relational memory representations endow fish's spatial behavior with considerable navigational flexibility, allowing them, for example, to perform shortcuts and detours.
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Affiliation(s)
| | | | | | | | | | - Cosme Salas
- Laboratorio de Psicobiología, Universidad de Sevilla, 41018 Sevilla, Spain; (F.R.); (B.Q.); (L.A.); (D.M.); (C.S.-P.)
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19
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Matsuda K, Kubo F. Circuit Organization Underlying Optic Flow Processing in Zebrafish. Front Neural Circuits 2021; 15:709048. [PMID: 34366797 PMCID: PMC8334359 DOI: 10.3389/fncir.2021.709048] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 06/28/2021] [Indexed: 12/15/2022] Open
Abstract
Animals’ self-motion generates a drifting movement of the visual scene in the entire field of view called optic flow. Animals use the sensation of optic flow to estimate their own movements and accordingly adjust their body posture and position and stabilize the direction of gaze. In zebrafish and other vertebrates, optic flow typically drives the optokinetic response (OKR) and optomotor response (OMR). Recent functional imaging studies in larval zebrafish have identified the pretectum as a primary center for optic flow processing. In contrast to the view that the pretectum acts as a relay station of direction-selective retinal inputs, pretectal neurons respond to much more complex visual features relevant to behavior, such as spatially and temporally integrated optic flow information. Furthermore, optic flow signals, as well as motor signals, are represented in the cerebellum in a region-specific manner. Here we review recent findings on the circuit organization that underlies the optic flow processing driving OKR and OMR.
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Affiliation(s)
- Koji Matsuda
- Center for Frontier Research, National Institute of Genetics, Mishima, Japan
| | - Fumi Kubo
- Center for Frontier Research, National Institute of Genetics, Mishima, Japan.,Department of Genetics, SOKENDAI (The Graduate University for Advanced Studies), Mishima, Japan
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20
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Ramirez AD, Aksay ERF. Ramp-to-threshold dynamics in a hindbrain population controls the timing of spontaneous saccades. Nat Commun 2021; 12:4145. [PMID: 34230474 PMCID: PMC8260785 DOI: 10.1038/s41467-021-24336-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 06/11/2021] [Indexed: 02/06/2023] Open
Abstract
Organisms have the capacity to make decisions based solely on internal drives. However, it is unclear how neural circuits form decisions in the absence of sensory stimuli. Here we provide a comprehensive map of the activity patterns underlying the generation of saccades made in the absence of visual stimuli. We perform calcium imaging in the larval zebrafish to discover a range of responses surrounding spontaneous saccades, from cells that display tonic discharge only during fixations to neurons whose activity rises in advance of saccades by multiple seconds. When we lesion cells in these populations we find that ablation of neurons with pre-saccadic rise delays saccade initiation. We analyze spontaneous saccade initiation using a ramp-to-threshold model and are able to predict the times of upcoming saccades using pre-saccadic activity. These findings suggest that ramping of neuronal activity to a bound is a critical component of self-initiated saccadic movements.
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Affiliation(s)
- Alexandro D Ramirez
- Institute for Computational Biomedicine and the Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
| | - Emre R F Aksay
- Institute for Computational Biomedicine and the Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
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21
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Cherng BW, Islam T, Torigoe M, Tsuboi T, Okamoto H. The Dorsal Lateral Habenula-Interpeduncular Nucleus Pathway Is Essential for Left-Right-Dependent Decision Making in Zebrafish. Cell Rep 2021; 32:108143. [PMID: 32937118 DOI: 10.1016/j.celrep.2020.108143] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 07/29/2020] [Accepted: 08/21/2020] [Indexed: 01/03/2023] Open
Abstract
How animals behave using suitable information to adapt to the environment is not well known. We address this issue by devising an automated system to let zebrafish exploit either internal (choice of left or right turn) or external (choice of cue color) navigation information to achieve operant behavior by reward reinforcement learning. The results of behavioral task with repeated rule shift indicate that zebrafish can learn operant behavior using both internal-directional and external-cued information. The learning time is reduced as rule shifts are repeated, revealing the capacity of zebrafish to adaptively retrieve the suitable rule memory after training. Zebrafish with an impairment in the neural pathway from the lateral subregion of the dorsal habenula to the interpeduncular nucleus, known to be potentiated in the winners of social conflicts, show specific defects in the application of the internal-directional rule, suggesting the dual roles of this pathway.
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Affiliation(s)
- Bor-Wei Cherng
- Laboratory for Neural Circuit Dynamics of Decision-making, RIKEN Center for Brain Science, Saitama 351-0198, Japan; Department of Life Science, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo 153-8902, Japan
| | - Tanvir Islam
- Laboratory for Neural Circuit Dynamics of Decision-making, RIKEN Center for Brain Science, Saitama 351-0198, Japan
| | - Makio Torigoe
- Laboratory for Neural Circuit Dynamics of Decision-making, RIKEN Center for Brain Science, Saitama 351-0198, Japan
| | - Takashi Tsuboi
- Department of Life Science, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo 153-8902, Japan
| | - Hitoshi Okamoto
- Laboratory for Neural Circuit Dynamics of Decision-making, RIKEN Center for Brain Science, Saitama 351-0198, Japan; RIKEN CBS-Kao Collaboration Center, Saitama 351-0198, Japan; Department of Life Science, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo 153-8902, Japan.
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22
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Neural substrates involved in the cognitive information processing in teleost fish. Anim Cogn 2021; 24:923-946. [PMID: 33907938 PMCID: PMC8360893 DOI: 10.1007/s10071-021-01514-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 02/25/2021] [Accepted: 03/06/2021] [Indexed: 02/04/2023]
Abstract
Over the last few decades, it has been shown that fish, comprising the largest group of vertebrates and in many respects one of the least well studied, possess many cognitive abilities comparable to those of birds and mammals. Despite a plethora of behavioural studies assessing cognition abilities and an abundance of neuroanatomical studies, only few studies have aimed to or in fact identified the neural substrates involved in the processing of cognitive information. In this review, an overview of the currently available studies addressing the joint research topics of cognitive behaviour and neuroscience in teleosts (and elasmobranchs wherever possible) is provided, primarily focusing on two fundamentally different but complementary approaches, i.e. ablation studies and Immediate Early Gene (IEG) analyses. More recently, the latter technique has become one of the most promising methods to visualize neuronal populations activated in specific brain areas, both during a variety of cognitive as well as non-cognition-related tasks. While IEG studies may be more elegant and potentially easier to conduct, only lesion studies can help researchers find out what information animals can learn or recall prior to and following ablation of a particular brain area.
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23
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Ohnesorge N, Heinl C, Lewejohann L. Current Methods to Investigate Nociception and Pain in Zebrafish. Front Neurosci 2021; 15:632634. [PMID: 33897350 PMCID: PMC8061727 DOI: 10.3389/fnins.2021.632634] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 03/16/2021] [Indexed: 12/13/2022] Open
Abstract
Pain is an unpleasant, negative emotion and its debilitating effects are complex to manage. Mammalian models have long dominated research on nociception and pain, but there is increasing evidence for comparable processes in fish. The need to improve existing pain models for drug research and the obligation for 3R refinement of fish procedures facilitated the development of numerous new assays of nociception and pain in fish. The zebrafish is already a well-established animal model in many other research areas like toxicity testing, as model for diseases or regeneration and has great potential in pain research, too. Methods of electrophysiology, molecular biology, analysis of reflexive or non-reflexive behavior and fluorescent imaging are routinely applied but it is the combination of these tools what makes the zebrafish model so powerful. Simultaneously, observing complex behavior in free-swimming larvae, as well as their neuronal activity at the cellular level, opens new avenues for pain research. This review aims to supply a toolbox for researchers by summarizing current methods to study nociception and pain in zebrafish. We identify treatments with the best algogenic potential, be it chemical, thermal or electric stimuli and discuss options of analgesia to counter effects of nociception and pain by opioids, non-steroidal anti-inflammatory drugs (NSAIDs) or local anesthetics. In addition, we critically evaluate these practices, identify gaps of knowledge and outline potential future developments.
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Affiliation(s)
- Nils Ohnesorge
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Berlin, Germany
| | - Céline Heinl
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Berlin, Germany
| | - Lars Lewejohann
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Berlin, Germany
- Institute of Animal Welfare, Animal Behavior and Laboratory Animal Science, Freie Universität Berlin, Berlin, Germany
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24
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Friedrich RW, Wanner AA. Dense Circuit Reconstruction to Understand Neuronal Computation: Focus on Zebrafish. Annu Rev Neurosci 2021; 44:275-293. [PMID: 33730512 DOI: 10.1146/annurev-neuro-110220-013050] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The dense reconstruction of neuronal wiring diagrams from volumetric electron microscopy data has the potential to generate fundamentally new insights into mechanisms of information processing and storage in neuronal circuits. Zebrafish provide unique opportunities for dynamical connectomics approaches that combine reconstructions of wiring diagrams with measurements of neuronal population activity and behavior. Such approaches have the power to reveal higher-order structure in wiring diagrams that cannot be detected by sparse sampling of connectivity and that is essential for neuronal computations. In the brain stem, recurrently connected neuronal modules were identified that can account for slow, low-dimensional dynamics in an integrator circuit. In the spinal cord, connectivity specifies functional differences between premotor interneurons. In the olfactory bulb, tuning-dependent connectivity implements a whitening transformation that is based on the selective suppression of responses to overrepresented stimulus features. These findings illustrate the potential of dynamical connectomics in zebrafish to analyze the circuit mechanisms underlying higher-order neuronal computations.
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Affiliation(s)
- Rainer W Friedrich
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland; .,Faculty of Natural Sciences, University of Basel, 4003 Basel, Switzerland
| | - Adrian A Wanner
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey 08544, USA;
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25
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Stevens RH, Galloway TL. Parsing Neurodynamic Information Streams to Estimate the Frequency, Magnitude and Duration of Team Uncertainty. Front Syst Neurosci 2021; 15:606823. [PMID: 33597850 PMCID: PMC7882625 DOI: 10.3389/fnsys.2021.606823] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 01/04/2021] [Indexed: 11/30/2022] Open
Abstract
Neurodynamic organizations are information-based abstractions, expressed in bits, of the structure of long duration EEG amplitude levels. Neurodynamic information (NI, the variable of neurodynamic organization) is thought to continually accumulate as EEG amplitudes cycle through periods of persistent activation and deactivation in response to the activities and uncertainties of teamwork. Here we show that (1) Neurodynamic information levels were a better predictor of uncertainty and novice and expert behaviors than were the EEG power levels from which NI was derived. (2) Spatial and temporal parsing of team NI from experienced submarine navigation and healthcare teams showed that it was composed of discrete peaks with durations up to 20–60 s, and identified the involvement of activated delta waves when precise motor control was needed. (3) The relationship between NI and EEG power was complex varying by brain regions, EEG frequencies, and global vs. local brain interactions. The presence of an organizational system of information that parallels the amplitude of EEG rhythms is important as it provides a greatly reduced data dimension while retaining the essential system features, i.e., linkages to higher scale behaviors that span temporal and spatial scales of teamwork. In this way the combinatorial explosion of EEG rhythmic variables at micro levels become compressed into an intermediate system of information and organization which links to macro-scale team and team member behaviors. These studies provide an avenue for understanding how complex organizations arise from the dynamics of underlying micro-scale variables. The study also has practical implications for how micro-scale variables might be better represented, both conceptually and in terms of parsimony, for training machines to recognize human behaviors that span scales of teams.
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Affiliation(s)
- Ronald H Stevens
- University of California Los Angeles (UCLA) School of Medicine, Brain Research Institute, Culver City, CA, United States.,The Learning Chameleon, Inc., Culver City, CA, United States
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26
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Okamoto H, Cherng BW, Nakajo H, Chou MY, Kinoshita M. Habenula as the experience-dependent controlling switchboard of behavior and attention in social conflict and learning. Curr Opin Neurobiol 2021; 68:36-43. [PMID: 33421772 DOI: 10.1016/j.conb.2020.12.005] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 11/25/2020] [Accepted: 12/09/2020] [Indexed: 12/20/2022]
Abstract
The habenula is among the evolutionarily most conserved parts of the brain and has been known for its role in the control of behavior to cope with aversive stimuli. Recent studies in zebrafish have revealed the novel roles of the two parallel neural pathways from the dorsal habenula to its target, the interpeduncular nucleus, in the control of behavioral choice whether to behave dominantly or submissively in the social conflict. They are modifiable depending on the internal state of the fish such as hunger and play another important role in orientation of attention whether to direct it internally to oneself or externally to others. These studies, therefore, are revealing a novel role for the habenula as the integrated switchboard for concertedly controlling behavior either as a winner with self-centered (idiothetic) attention or a loser with others-oriented (allothetic) attention.
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Affiliation(s)
- Hitoshi Okamoto
- Laboratory for Neural Circuit Dynamics of Decision Making, RIKEN Center for Brain Science, Saitama 351-0198 Japan; RIKEN CBS-Kao Collaboration Center, Saitama, 351-0198, Japan.
| | - Bor-Wei Cherng
- Laboratory for Neural Circuit Dynamics of Decision Making, RIKEN Center for Brain Science, Saitama 351-0198 Japan
| | - Haruna Nakajo
- Laboratory for Neural Circuit Dynamics of Decision Making, RIKEN Center for Brain Science, Saitama 351-0198 Japan
| | - Ming-Yi Chou
- Department of Life Science, National Taiwan University, Taipei, 10617, Taiwan
| | - Masae Kinoshita
- Laboratory for Neural Circuit Dynamics of Decision Making, RIKEN Center for Brain Science, Saitama 351-0198 Japan
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27
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Cavanagh SE, Hunt LT, Kennerley SW. A Diversity of Intrinsic Timescales Underlie Neural Computations. Front Neural Circuits 2020; 14:615626. [PMID: 33408616 PMCID: PMC7779632 DOI: 10.3389/fncir.2020.615626] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 11/18/2020] [Indexed: 12/05/2022] Open
Abstract
Neural processing occurs across a range of temporal scales. To facilitate this, the brain uses fast-changing representations reflecting momentary sensory input alongside more temporally extended representations, which integrate across both short and long temporal windows. The temporal flexibility of these representations allows animals to behave adaptively. Short temporal windows facilitate adaptive responding in dynamic environments, while longer temporal windows promote the gradual integration of information across time. In the cognitive and motor domains, the brain sets overarching goals to be achieved within a long temporal window, which must be broken down into sequences of actions and precise movement control processed across much shorter temporal windows. Previous human neuroimaging studies and large-scale artificial network models have ascribed different processing timescales to different cortical regions, linking this to each region's position in an anatomical hierarchy determined by patterns of inter-regional connectivity. However, even within cortical regions, there is variability in responses when studied with single-neuron electrophysiology. Here, we review a series of recent electrophysiology experiments that demonstrate the heterogeneity of temporal receptive fields at the level of single neurons within a cortical region. This heterogeneity appears functionally relevant for the computations that neurons perform during decision-making and working memory. We consider anatomical and biophysical mechanisms that may give rise to a heterogeneity of timescales, including recurrent connectivity, cortical layer distribution, and neurotransmitter receptor expression. Finally, we reflect on the computational relevance of each brain region possessing a heterogeneity of neuronal timescales. We argue that this architecture is of particular importance for sensory, motor, and cognitive computations.
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Affiliation(s)
- Sean E. Cavanagh
- Department of Clinical and Movement Neurosciences, University College London, London, United Kingdom
| | - Laurence T. Hunt
- Department of Clinical and Movement Neurosciences, University College London, London, United Kingdom
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
- Max Planck-UCL Centre for Computational Psychiatry and Aging, University College London, London, United Kingdom
- Department of Psychiatry, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - Steven W. Kennerley
- Department of Clinical and Movement Neurosciences, University College London, London, United Kingdom
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28
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Biswas T, Bishop WE, Fitzgerald JE. Theoretical principles for illuminating sensorimotor processing with brain-wide neuronal recordings. Curr Opin Neurobiol 2020; 65:138-145. [PMID: 33248437 PMCID: PMC8754199 DOI: 10.1016/j.conb.2020.10.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 10/28/2020] [Accepted: 10/29/2020] [Indexed: 11/24/2022]
Abstract
Modern recording techniques now permit brain-wide sensorimotor circuits to be observed at single neuron resolution in small animals. Extracting theoretical understanding from these recordings requires principles that organize findings and guide future experiments. Here we review theoretical principles that shed light onto brain-wide sensorimotor processing. We begin with an analogy that conceptualizes principles as streetlamps that illuminate the empirical terrain, and we illustrate the analogy by showing how two familiar principles apply in new ways to brain-wide phenomena. We then focus the bulk of the review on describing three more principles that have wide utility for mapping brain-wide neural activity, making testable predictions from highly parameterized mechanistic models, and investigating the computational determinants of neuronal response patterns across the brain.
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Affiliation(s)
- Tirthabir Biswas
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
| | - William E Bishop
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
| | - James E Fitzgerald
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA.
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29
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Loring MD, Thomson EE, Naumann EA. Whole-brain interactions underlying zebrafish behavior. Curr Opin Neurobiol 2020; 65:88-99. [PMID: 33221591 PMCID: PMC10697041 DOI: 10.1016/j.conb.2020.09.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 09/28/2020] [Accepted: 09/30/2020] [Indexed: 12/13/2022]
Abstract
Detailed quantification of neural dynamics across the entire brain will be the key to genuinely understanding perception and behavior. With the recent developments in microscopy and biosensor engineering, the zebrafish has made a grand entrance in neuroscience as its small size and optical transparency enable imaging access to its entire brain at cellular and even subcellular resolution. However, until recently many neurobiological insights were largely correlational or provided little mechanistic insight into the brain-wide population dynamics generated by diverse types of neurons. Now with increasingly sophisticated behavioral, imaging, and causal intervention paradigms, zebrafish are revealing how entire vertebrate brains function. Here we review recent research that fulfills promises made by the early wave of technical advances. These studies reveal new features of brain-wide neural processing and the importance of integrative investigation and computational modelling. Moreover, we outline the future tools necessary for solving broader brain-scale circuit problems.
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Affiliation(s)
- Matthew D Loring
- Duke School of Medicine, Department of Neurobiology, Durham, NC 27710, United States
| | - Eric E Thomson
- Duke School of Medicine, Department of Neurobiology, Durham, NC 27710, United States
| | - Eva A Naumann
- Duke School of Medicine, Department of Neurobiology, Durham, NC 27710, United States.
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30
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Mu Y, Narayan S, Mensh BD, Ahrens MB. Brain-wide, scale-wide physiology underlying behavioral flexibility in zebrafish. Curr Opin Neurobiol 2020; 64:151-160. [PMID: 33091825 DOI: 10.1016/j.conb.2020.08.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 08/25/2020] [Accepted: 08/31/2020] [Indexed: 01/04/2023]
Abstract
The brain is tasked with choosing actions that maximize an animal's chances of survival and reproduction. These choices must be flexible and informed by the current state of the environment, the needs of the body, and the outcomes of past actions. This information is physiologically encoded and processed across different brain regions on a wide range of spatial scales, from molecules in single synapses to networks of brain areas. Uncovering these spatially distributed neural interactions underlying behavior requires investigations that span a similar range of spatial scales. Larval zebrafish, given their small size, transparency, and ease of genetic access, are a good model organism for such investigations, allowing the use of modern microscopy, molecular biology, and computational techniques. These approaches are yielding new insights into the mechanistic basis of behavioral states, which we review here and compare to related studies in mammalian species.
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Affiliation(s)
- Yu Mu
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, and Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China.
| | - Sujatha Narayan
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Brett D Mensh
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Misha B Ahrens
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
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31
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Yildizoglu T, Riegler C, Fitzgerald JE, Portugues R. A Neural Representation of Naturalistic Motion-Guided Behavior in the Zebrafish Brain. Curr Biol 2020; 30:2321-2333.e6. [PMID: 32386533 DOI: 10.1016/j.cub.2020.04.043] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 03/13/2020] [Accepted: 04/20/2020] [Indexed: 11/20/2022]
Abstract
All animals must transform ambiguous sensory data into successful behavior. This requires sensory representations that accurately reflect the statistics of natural stimuli and behavior. Multiple studies show that visual motion processing is tuned for accuracy under naturalistic conditions, but the sensorimotor circuits extracting these cues and implementing motion-guided behavior remain unclear. Here we show that the larval zebrafish retina extracts a diversity of naturalistic motion cues, and the retinorecipient pretectum organizes these cues around the elements of behavior. We find that higher-order motion stimuli, gliders, induce optomotor behavior matching expectations from natural scene analyses. We then image activity of retinal ganglion cell terminals and pretectal neurons. The retina exhibits direction-selective responses across glider stimuli, and anatomically clustered pretectal neurons respond with magnitudes matching behavior. Peripheral computations thus reflect natural input statistics, whereas central brain activity precisely codes information needed for behavior. This general principle could organize sensorimotor transformations across animal species.
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Affiliation(s)
- Tugce Yildizoglu
- Max Planck Institute of Neurobiology, Research Group of Sensorimotor Control, Martinsried 82152, Germany
| | - Clemens Riegler
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA; Department of Neurobiology, Faculty of Life Sciences, University of Vienna, Althanstrasse 14, 1090 Vienna, Austria
| | - James E Fitzgerald
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA.
| | - Ruben Portugues
- Max Planck Institute of Neurobiology, Research Group of Sensorimotor Control, Martinsried 82152, Germany; Institute of Neuroscience, Technical University of Munich, Munich 80802, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich 80802, Germany.
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