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Papaspyros V, Theraulaz G, Sire C, Mondada F. Quantifying the biomimicry gap in biohybrid robot-fish pairs. BIOINSPIRATION & BIOMIMETICS 2024; 19:046020. [PMID: 38866031 DOI: 10.1088/1748-3190/ad577a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Accepted: 06/12/2024] [Indexed: 06/14/2024]
Abstract
Biohybrid systems in which robotic lures interact with animals have become compelling tools for probing and identifying the mechanisms underlying collective animal behavior. One key challenge lies in the transfer of social interaction models from simulations to reality, using robotics to validate the modeling hypotheses. This challenge arises in bridging what we term the 'biomimicry gap', which is caused by imperfect robotic replicas, communication cues and physics constraints not incorporated in the simulations, that may elicit unrealistic behavioral responses in animals. In this work, we used a biomimetic lure of a rummy-nose tetra fish (Hemigrammus rhodostomus) and a neural network (NN) model for generating biomimetic social interactions. Through experiments with a biohybrid pair comprising a fish and the robotic lure, a pair of real fish, and simulations of pairs of fish, we demonstrate that our biohybrid system generates social interactions mirroring those of genuine fish pairs. Our analyses highlight that: 1) the lure and NN maintain minimal deviation in real-world interactions compared to simulations and fish-only experiments, 2) our NN controls the robot efficiently in real-time, and 3) a comprehensive validation is crucial to bridge the biomimicry gap, ensuring realistic biohybrid systems.
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Affiliation(s)
- Vaios Papaspyros
- Mobile Robotic Systems (MOBOTS) group, School of Computer Science, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
| | - Guy Theraulaz
- Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative, CNRS, Université de Toulouse III-Paul Sabatier, 31062 Toulouse, France
| | - Clément Sire
- Laboratoire de Physique Théorique, CNRS, Université de Toulouse III-Paul Sabatier, 31062 Toulouse, France
| | - Francesco Mondada
- Mobile Robotic Systems (MOBOTS) group, School of Computer Science, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
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Yu JH, Napoli JL, Lovett-Barron M. Understanding collective behavior through neurobiology. Curr Opin Neurobiol 2024; 86:102866. [PMID: 38852986 DOI: 10.1016/j.conb.2024.102866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 02/16/2024] [Accepted: 03/07/2024] [Indexed: 06/11/2024]
Abstract
A variety of organisms exhibit collective movement, including schooling fish and flocking birds, where coordinated behavior emerges from the interactions between group members. Despite the prevalence of collective movement in nature, little is known about the neural mechanisms producing each individual's behavior within the group. Here we discuss how a neurobiological approach can enrich our understanding of collective behavior by determining the mechanisms by which individuals interact. We provide examples of sensory systems for social communication during collective movement, highlight recent discoveries about neural systems for detecting the position and actions of social partners, and discuss opportunities for future research. Understanding the neurobiology of collective behavior can provide insight into how nervous systems function in a dynamic social world.
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Affiliation(s)
- Jo-Hsien Yu
- Department of Neurobiology, School of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093, USA. https://twitter.com/anitajhyu
| | - Julia L Napoli
- Department of Neurobiology, School of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093, USA. https://twitter.com/juliadoingneuro
| | - Matthew Lovett-Barron
- Department of Neurobiology, School of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093, USA.
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3
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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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4
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Zada D, Schulze L, Yu JH, Tarabishi P, Napoli JL, Lovett-Barron M. Development of neural circuits for social motion perception in schooling fish. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.25.563839. [PMID: 37961196 PMCID: PMC10634817 DOI: 10.1101/2023.10.25.563839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Many animals move in groups, where collective behavior emerges from the interactions amongst individuals. These social interactions produce the coordinated movements of bird flocks and fish schools, but little is known about their developmental emergence and neurobiological foundations. By characterizing the visually-based schooling behavior of the micro glassfish Danionella cerebrum, here we found that social development progresses sequentially, with animals first acquiring the ability to aggregate, followed by postural alignment with social partners. This social maturation was accompanied by the development of neural populations in the midbrain and forebrain that were preferentially driven by visual stimuli that resemble the shape and movements of schooling fish. The development of these neural circuits enables the social coordination required for collective movement.
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Affiliation(s)
- David Zada
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego. La Jolla, CA, USA 92093
| | - Lisanne Schulze
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego. La Jolla, CA, USA 92093
| | - Jo-Hsien Yu
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego. La Jolla, CA, USA 92093
| | - Princess Tarabishi
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego. La Jolla, CA, USA 92093
| | - Julia L Napoli
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego. La Jolla, CA, USA 92093
| | - Matthew Lovett-Barron
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego. La Jolla, CA, USA 92093
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Paz A, Holt KJ, Clarke A, Aviles A, Abraham B, Keene AC, Duboué ER, Fily Y, Kowalko JE. Changes in local interaction rules during ontogeny underlie the evolution of collective behavior. iScience 2023; 26:107431. [PMID: 37636065 PMCID: PMC10448030 DOI: 10.1016/j.isci.2023.107431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/17/2023] [Accepted: 07/17/2023] [Indexed: 08/29/2023] Open
Abstract
Collective motion emerges from individual interactions which produce group-wide patterns in behavior. While adaptive changes to collective motion are observed across animal species, how local interactions change when these collective behaviors evolve is poorly understood. Here, we use the Mexican tetra, Astyanax mexicanus, which exists as a schooling surface form and a non-schooling cave form, to study differences in how fish alter their swimming in response to neighbors across ontogeny and between evolutionarily diverged populations. We find that surface fish undergo a transition to schooling mediated by changes in the way fish modulate speed and turning relative to neighbors. This transition begins with the tendency to align to neighbors emerging by 28 days post-fertilization and ends with the emergence of robust attraction by 70 days post-fertilization. Cavefish exhibit neither alignment nor attraction at any stage of development. These results reveal how evolution alters local interactions to produce striking differences in collective behavior.
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Affiliation(s)
- Alexandra Paz
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Karla J. Holt
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Anik Clarke
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Ari Aviles
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Briana Abraham
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Alex C. Keene
- Department of Biology, Texas A&M, College Station, TX 77840, USA
| | - Erik R. Duboué
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Yaouen Fily
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Johanna E. Kowalko
- Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015, USA
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Pluimer BR, Harrison DL, Boonyavairoje C, Prinssen EP, Rogers-Evans M, Peterson RT, Thyme SB, Nath AK. Behavioral analysis through the lifespan of disc1 mutant zebrafish identifies defects in sensorimotor transformation. iScience 2023; 26:107099. [PMID: 37416451 PMCID: PMC10320522 DOI: 10.1016/j.isci.2023.107099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 03/27/2023] [Accepted: 06/08/2023] [Indexed: 07/08/2023] Open
Abstract
DISC1 is a genetic risk factor for multiple psychiatric disorders. Compared to the dozens of murine Disc1 models, there is a paucity of zebrafish disc1 models-an organism amenable to high-throughput experimentation. We conducted the longitudinal neurobehavioral analysis of disc1 mutant zebrafish across key stages of life. During early developmental stages, disc1 mutants exhibited abrogated behavioral responses to sensory stimuli across multiple testing platforms. Moreover, during exposure to an acoustic sensory stimulus, loss of disc1 resulted in the abnormal activation of neurons in the pallium, cerebellum, and tectum-anatomical sites involved in the integration of sensory perception and motor control. In adulthood, disc1 mutants exhibited sexually dimorphic reduction in anxiogenic behavior in novel paradigms. Together, these findings implicate disc1 in sensorimotor processes and the genesis of anxiogenic behaviors, which could be exploited for the development of novel treatments in addition to investigating the biology of sensorimotor transformation in the context of disc1 deletion.
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Affiliation(s)
- Brock R. Pluimer
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Devin L. Harrison
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Chanon Boonyavairoje
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Eric P. Prinssen
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Mark Rogers-Evans
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Randall T. Peterson
- Deparment of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, UT 84112, USA
| | - Summer B. Thyme
- Department of Neurobiology, University of Alabama, Birmingham, AL 35294, USA
| | - Anjali K. Nath
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
- Broad Institute, Cambridge, MA 02142, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
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Kulikov PA, Sorokin IE, Evsiukova VS, Kulikov AV. Long-Term Continuous Computer Registration and Analysis of Motor Activity of a Group of Zebrafish Danio rerio. Bull Exp Biol Med 2023:10.1007/s10517-023-05820-3. [PMID: 37335450 DOI: 10.1007/s10517-023-05820-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Indexed: 06/21/2023]
Abstract
A new algorithm for long-term continuous computer recording and analysis of motor activity of a group of zebrafish in the home tank has been developed. The movements of a group of Danio rerio during the entire light period and for several days are recorded at a frequency of 1 frame/sec in the form of short (15 min) files. Then these files are analyzed by the unique DanioStudo software, which, using a threshold algorithm and appropriate masks, calculates for each frame the sum of pixels associated with fish (the sum of fish silhouettes), and for two consecutive frames, the sum of altered pixels (the sum of altered fish silhouettes). The following indexes are calculated: the rate of sum of silhouettes alteration as the ratio of the sum of altered silhouettes to the sum of silhouettes (1) and the time spent in the selected area of the home tank as the ratio of the sum of silhouettes in this area to the sum of silhouettes in the entire tank (2). The mean rate of silhouette alteration correlates to the length of the path travelled by the fish and, therefore, serves as a correct measure of the motor activity of a group of fish. Using these algorithms, completely new data were obtained: it was shown that the motor activity of fish remains constant throughout the entire light period, but depends on the size of the home tank. The proposed approach, together with the DanioStudio software, can be effective in studying the dynamics of changes in the behavior of fish under long-term exposure to short daylight, drugs and toxic substances.
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Affiliation(s)
- P A Kulikov
- Federal Research Center Institute of Cytology and Genetics, Siberian Division of the Russian Academy of Sciences, Novosibirsk, Russia
| | - I E Sorokin
- Federal Research Center Institute of Cytology and Genetics, Siberian Division of the Russian Academy of Sciences, Novosibirsk, Russia
| | - V S Evsiukova
- Federal Research Center Institute of Cytology and Genetics, Siberian Division of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A V Kulikov
- Federal Research Center Institute of Cytology and Genetics, Siberian Division of the Russian Academy of Sciences, Novosibirsk, Russia.
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8
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A distributed nanocluster based multi-agent evolutionary network. Nat Commun 2022; 13:4698. [PMID: 35948574 PMCID: PMC9365837 DOI: 10.1038/s41467-022-32497-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 08/02/2022] [Indexed: 11/25/2022] Open
Abstract
As an important approach of distributed artificial intelligence, multi-agent system provides an efficient way to solve large-scale computational problems through high-parallelism processing with nonlinear interactions between the agents. However, the huge capacity and complex distribution of the individual agents make it difficult for efficient hardware construction. Here, we propose and demonstrate a multi-agent hardware system that deploys distributed Ag nanoclusters as physical agents and their electrochemical dissolution, growth and evolution dynamics under electric field for high-parallelism exploration of the solution space. The collaboration and competition between the Ag nanoclusters allow information to be effectively expressed and processed, which therefore replaces cumbrous exhaustive operations with self-organization of Ag physical network based on the positive feedback of information interaction, leading to significantly reduced computational complexity. The proposed multi-agent network can be scaled up with parallel and serial integration structures, and demonstrates efficient solution of graph and optimization problems. An artificial potential field with superimposed attractive/repulsive components and varied ion velocity is realized, showing gradient descent route planning with self-adaptive obstacle avoidance. This multi-agent network is expected to serve as a physics-empowered parallel computing hardware. Designing an efficient multi-agent hardware system to solve large-scale computational problems through high-parallelism processing with nonlinear interactions remains a challenge. Here, the authors demonstrate that a multi-agent hardware system deploying distributed Ag nanoclusters as physical agents enables parallel, complex computing.
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Tan JXM, Ang RJW, Wee CL. Larval Zebrafish as a Model for Mechanistic Discovery in Mental Health. Front Mol Neurosci 2022; 15:900213. [PMID: 35813062 PMCID: PMC9263853 DOI: 10.3389/fnmol.2022.900213] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 04/25/2022] [Indexed: 12/23/2022] Open
Abstract
Animal models are essential for the discovery of mechanisms and treatments for neuropsychiatric disorders. However, complex mental health disorders such as depression and anxiety are difficult to fully recapitulate in these models. Borrowing from the field of psychiatric genetics, we reiterate the framework of 'endophenotypes' - biological or behavioral markers with cellular, molecular or genetic underpinnings - to reduce complex disorders into measurable behaviors that can be compared across organisms. Zebrafish are popular disease models due to the conserved genetic, physiological and anatomical pathways between zebrafish and humans. Adult zebrafish, which display more sophisticated behaviors and cognition, have long been used to model psychiatric disorders. However, larvae (up to 1 month old) are more numerous and also optically transparent, and hence are particularly suited for high-throughput screening and brain-wide neural circuit imaging. A number of behavioral assays have been developed to quantify neuropsychiatric phenomena in larval zebrafish. Here, we will review these assays and the current knowledge regarding the underlying mechanisms of their behavioral readouts. We will also discuss the existing evidence linking larval zebrafish behavior to specific human behavioral traits and how the endophenotype framework can be applied. Importantly, many of the endophenotypes we review do not solely define a diseased state but could manifest as a spectrum across the general population. As such, we make the case for larval zebrafish as a promising model for extending our understanding of population mental health, and for identifying novel therapeutics and interventions with broad impact.
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Affiliation(s)
| | | | - Caroline Lei Wee
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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10
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Ecological decision-making: From circuit elements to emerging principles. Curr Opin Neurobiol 2022; 74:102551. [DOI: 10.1016/j.conb.2022.102551] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 03/30/2022] [Accepted: 04/07/2022] [Indexed: 01/05/2023]
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Harpaz R, Nguyen MN, Bahl A, Engert F. Precise visuomotor transformations underlying collective behavior in larval zebrafish. Nat Commun 2021; 12:6578. [PMID: 34772934 PMCID: PMC8590009 DOI: 10.1038/s41467-021-26748-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 10/19/2021] [Indexed: 12/21/2022] Open
Abstract
Complex schooling behaviors result from local interactions among individuals. Yet, how sensory signals from neighbors are analyzed in the visuomotor stream of animals is poorly understood. Here, we studied aggregation behavior in larval zebrafish and found that over development larvae transition from overdispersed groups to tight shoals. Using a virtual reality assay, we characterized the algorithms fish use to transform visual inputs from neighbors into movement decisions. We found that young larvae turn away from virtual neighbors by integrating and averaging retina-wide visual occupancy within each eye, and by using a winner-take-all strategy for binocular integration. As fish mature, their responses expand to include attraction to virtual neighbors, which is based on similar algorithms of visual integration. Using model simulations, we show that the observed algorithms accurately predict group structure over development. These findings allow us to make testable predictions regarding the neuronal circuits underlying collective behavior in zebrafish.
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Affiliation(s)
- Roy Harpaz
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, 02138, USA.
- Center for Brain Science, Harvard University, Cambridge, MA, 02138, USA.
| | - Minh Nguyet Nguyen
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Armin Bahl
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, 78464, Germany
| | - Florian Engert
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, 02138, USA
- Center for Brain Science, Harvard University, Cambridge, MA, 02138, USA
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