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Wang J, Rao X, Huang S, Wang Z, Niu X, Zhu M, Wang S, Shi L. Detection of a temporal salient object benefits from visual stimulus-specific adaptation in avian midbrain inhibitory nucleus. Integr Zool 2024; 19:288-306. [PMID: 36893724 DOI: 10.1111/1749-4877.12715] [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] [Indexed: 03/11/2023]
Abstract
Food and predators are the most noteworthy objects for the basic survival of wild animals, and both are often deviant in both spatial and temporal domains and quickly attract an animal's attention. Although stimulus-specific adaptation (SSA) is considered a potential neural basis of salient sound detection in the temporal domain, related research on visual SSA is limited and its relationship with temporal saliency is uncertain. The avian nucleus isthmi pars magnocellularis (Imc), which is central to midbrain selective attention network, is an ideal site to investigate the neural correlate of visual SSA and detection of a salient object in the time domain. Here, the constant order paradigm was applied to explore the visual SSA in the Imc of pigeons. The results showed that the firing rates of Imc neurons gradually decrease with repetitions of motion in the same direction, but recover when a motion in a deviant direction is presented, implying visual SSA to the direction of a moving object. Furthermore, enhanced response for an object moving in other directions that were not presented ever in the paradigm is also observed. To verify the neural mechanism underlying these phenomena, we introduced a neural computation model involving a recoverable synaptic change with a "center-surround" pattern to reproduce the visual SSA and temporal saliency for the moving object. These results suggest that the Imc produces visual SSA to motion direction, allowing temporal salient object detection, which may facilitate the detection of the sudden appearance of a predator.
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Affiliation(s)
- Jiangtao Wang
- Department of Automation, Zhengzhou University School of Electrical Engineering, Zhengzhou, China
| | - Xiaoping Rao
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China
| | - Shuman Huang
- Department of Automation, Zhengzhou University School of Electrical Engineering, Zhengzhou, China
| | - Zhizhong Wang
- Department of Automation, Zhengzhou University School of Electrical Engineering, Zhengzhou, China
| | - Xiaoke Niu
- Department of Automation, Zhengzhou University School of Electrical Engineering, Zhengzhou, China
| | - Minjie Zhu
- Department of Automation, Zhengzhou University School of Electrical Engineering, Zhengzhou, China
| | - Songwei Wang
- Department of Automation, Zhengzhou University School of Electrical Engineering, Zhengzhou, China
| | - Li Shi
- Department of Automation, Zhengzhou University School of Electrical Engineering, Zhengzhou, China
- Department of Automation, Tsinghua University, Beijing, China
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Abstract
Fine audiovocal control is a hallmark of human speech production and depends on precisely coordinated muscle activity guided by sensory feedback. Little is known about shared audiovocal mechanisms between humans and other mammals. We hypothesized that real-time audiovocal control in bat echolocation uses the same computational principles as human speech. To test the prediction of this hypothesis, we applied state feedback control (SFC) theory to the analysis of call frequency adjustments in the echolocating bat, Hipposideros armiger. This model organism exhibits well-developed audiovocal control to sense its surroundings via echolocation. Our experimental paradigm was analogous to one implemented in human subjects. We measured the bats' vocal responses to spectrally altered echolocation calls. Individual bats exhibited highly distinct patterns of vocal compensation to these altered calls. Our findings mirror typical observations of speech control in humans listening to spectrally altered speech. Using mathematical modeling, we determined that the same computational principles of SFC apply to bat echolocation and human speech, confirming the prediction of our hypothesis.
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Allen KM, Lawlor J, Salles A, Moss CF. Orienting our view of the superior colliculus: specializations and general functions. Curr Opin Neurobiol 2021; 71:119-126. [PMID: 34826675 PMCID: PMC8996328 DOI: 10.1016/j.conb.2021.10.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 09/10/2021] [Accepted: 10/20/2021] [Indexed: 11/15/2022]
Abstract
The mammalian superior colliculus (SC) and its non-mammalian homolog, the optic tectum are implicated in sensorimotor transformations. Historically, emphasis on visuomotor functions of the SC has led to a popular view that it operates as an oculomotor structure rather than a more general orienting structure. In this review, we consider comparative work on the SC/optic tectum, with a particular focus on non-visual sensing and orienting, which reveals a broader perspective on SC functions and their role in species-specific behaviors. We highlight several recent studies that consider ethological context and natural behaviors to advance knowledge of the SC as a site of multi-sensory integration and motor initiation in diverse species.
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Affiliation(s)
- Kathryne M Allen
- Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Jennifer Lawlor
- Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Angeles Salles
- Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Cynthia F Moss
- Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, 21218, USA; The Solomon Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA; Department of Mechanical Engineering, Whiting School of Engineering, Johns Hopkins University, USA.
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Radtke-Schuller S, Fenzl T, Peremans H, Schuller G, Firzlaff U. Cyto- and myeloarchitectural brain atlas of the pale spear-nosed bat (Phyllostomus discolor) in CT Aided Stereotaxic Coordinates. Brain Struct Funct 2020; 225:2509-2520. [PMID: 32936343 PMCID: PMC7544721 DOI: 10.1007/s00429-020-02138-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 08/29/2020] [Indexed: 12/19/2022]
Abstract
The pale spear-nosed bat Phyllostomus discolor, a microchiropteran bat, is well established as an animal model for research on the auditory system, echolocation and social communication of species-specific vocalizations. We have created a brain atlas of Phyllostomus discolor that provides high-quality histological material for identification of brain structures in reliable stereotaxic coordinates to strengthen neurobiological studies of this key species. The new atlas combines high-resolution images of frontal sections alternately stained for cell bodies (Nissl) and myelinated fibers (Gallyas) at 49 rostrocaudal levels, at intervals of 350 µm. To facilitate comparisons with other species, brain structures were named according to the widely accepted Paxinos nomenclature and previous neuroanatomical studies of other bat species. Outlines of auditory cortical fields, as defined in earlier studies, were mapped onto atlas sections and onto the brain surface, together with the architectonic subdivisions of the neocortex. X-ray computerized tomography (CT) of the bat's head was used to establish the relationship between coordinates of brain structures and the skull. We used profile lines and the occipital crest as skull landmarks to line up skull and brain in standard atlas coordinates. An easily reproducible protocol allows sectioning of experimental brains in the standard frontal plane of the atlas. An electronic version of the atlas plates and supplementary material is available from https://doi.org/10.12751/g-node.8bbcxy.
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Affiliation(s)
- Susanne Radtke-Schuller
- Lehrstuhl für Zoologie, Technical University Munich, Freising, Germany.
- Department of Psychiatry, University of North Carolina At Chapel Hill, Chapel Hill, NC, 27599, USA.
| | - Thomas Fenzl
- Klinikum für Anästhesiologie und Intensivmedizin am Klinikum Rechts der Isar, TU München, Munich, Germany
| | - Herbert Peremans
- Department of Engineering Management, University of Antwerp, Antwerp, Belgium
| | - Gerd Schuller
- Division of Neurobiology, Department Biology II, Ludwig-Maximilians-University Munich, Planegg-Martinsried, Germany
| | - Uwe Firzlaff
- Lehrstuhl für Zoologie, Technical University Munich, Freising, Germany
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Massot C, Jagadisan UK, Gandhi NJ. Sensorimotor transformation elicits systematic patterns of activity along the dorsoventral extent of the superior colliculus in the macaque monkey. Commun Biol 2019; 2:287. [PMID: 31396567 PMCID: PMC6677725 DOI: 10.1038/s42003-019-0527-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 06/27/2019] [Indexed: 12/21/2022] Open
Abstract
The superior colliculus (SC) is an excellent substrate to study sensorimotor transformations. To date, the spatial and temporal properties of population activity along its dorsoventral axis have been inferred from single electrode studies. Here, we recorded SC population activity in non-human primates using a linear multi-contact array during delayed saccade tasks. We show that during the visual epoch, information appeared first in dorsal layers and systematically later in ventral layers. During the delay period, the laminar organization of low-spiking rate activity matched that of the visual epoch. During the pre-saccadic epoch, spiking activity emerged first in a more ventral layer, ~ 100 ms before saccade onset. This buildup of activity appeared later on nearby neurons situated both dorsally and ventrally, culminating in a synchronous burst across the dorsoventral axis, ~ 28 ms before saccade onset. Collectively, these results reveal a principled spatiotemporal organization of SC population activity underlying sensorimotor transformation for the control of gaze.
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Affiliation(s)
- Corentin Massot
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260 USA
- Center for Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - Uday K. Jagadisan
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260 USA
- Center for Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - Neeraj J. Gandhi
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260 USA
- Center for Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15260 USA
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA 15260 USA
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Washington SD, Hamaide J, Jeurissen B, van Steenkiste G, Huysmans T, Sijbers J, Deleye S, Kanwal JS, De Groof G, Liang S, Van Audekerke J, Wenstrup JJ, Van der Linden A, Radtke-Schuller S, Verhoye M. A three-dimensional digital neurological atlas of the mustached bat (Pteronotus parnellii). Neuroimage 2018; 183:300-313. [PMID: 30102998 DOI: 10.1016/j.neuroimage.2018.08.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 07/26/2018] [Accepted: 08/09/2018] [Indexed: 12/24/2022] Open
Abstract
Substantial knowledge of auditory processing within mammalian nervous systems emerged from neurophysiological studies of the mustached bat (Pteronotus parnellii). This highly social and vocal species retrieves precise information about the velocity and range of its targets through echolocation. Such high acoustic processing demands were likely the evolutionary pressures driving the over-development at peripheral (cochlea), metencephalic (cochlear nucleus), mesencephalic (inferior colliculus), diencephalic (medial geniculate body of the thalamus), and telencephalic (auditory cortex) auditory processing levels in this species. Auditory researchers stand to benefit from a three dimensional brain atlas of this species, due to its considerable contribution to auditory neuroscience. Our MRI-based atlas was generated from 2 sets of image data of an ex-vivo male mustached bat's brain: a detailed 3D-T2-weighted-RARE scan [(59 × 63 x 85) μm3] and track density images based on super resolution diffusion tensor images [(78) μm3] reconstructed from a set of low resolution diffusion weighted images using Super-Resolution-Reconstruction (SRR). By surface-rendering these delineations and extrapolating from cortical landmarks and data from previous studies, we generated overlays that estimate the locations of classic functional subregions within mustached bat auditory cortex. This atlas is freely available from our website and can simplify future electrophysiological, microinjection, and neuroimaging studies in this and related species.
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Affiliation(s)
- Stuart D Washington
- Bio-Imaging Lab, University of Antwerp, Universiteitsplein 1, B-2610, Wilrijk, Belgium
| | - Julie Hamaide
- Bio-Imaging Lab, University of Antwerp, Universiteitsplein 1, B-2610, Wilrijk, Belgium
| | - Ben Jeurissen
- Imec-Vision Lab, University of Antwerp, Universiteitsplein 1, B-2610, Wilrijk, Belgium
| | | | - Toon Huysmans
- Imec-Vision Lab, University of Antwerp, Universiteitsplein 1, B-2610, Wilrijk, Belgium
| | - Jan Sijbers
- Imec-Vision Lab, University of Antwerp, Universiteitsplein 1, B-2610, Wilrijk, Belgium
| | - Steven Deleye
- Molecular Imaging Center Antwerp, University of Antwerp, Universiteitsplein 1, B-2610, Wilrijk, Belgium
| | - Jagmeet S Kanwal
- Laboratory for Auditory Communication and Cognition, Georgetown University Medical Center, The Research Building, rm WP09, 3900 Reservoir Rd, NW, Washington, DC 20057, United States of America
| | - Geert De Groof
- Bio-Imaging Lab, University of Antwerp, Universiteitsplein 1, B-2610, Wilrijk, Belgium
| | - Sayuan Liang
- Bio-Imaging Lab, University of Antwerp, Universiteitsplein 1, B-2610, Wilrijk, Belgium
| | - Johan Van Audekerke
- Bio-Imaging Lab, University of Antwerp, Universiteitsplein 1, B-2610, Wilrijk, Belgium
| | - Jeffrey J Wenstrup
- Department of Anatomy and Neurobiology, Northeast Ohio Medical University, 4209 State Route 44, Rootstown, OH, 44272, United States of America
| | | | - Susanne Radtke-Schuller
- Division of Neurobiology, Biocenter of Ludwig Maximilians University, Grosshadernerstrasse 2, 82152, Planegg-Martinsried, Germany
| | - Marleen Verhoye
- Bio-Imaging Lab, University of Antwerp, Universiteitsplein 1, B-2610, Wilrijk, Belgium.
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