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From Whole-Brain Data to Functional Circuit Models: The Zebrafish Optomotor Response
Open accessAbstract
SUMMARY Detailed descriptions of brain-scale sensorimotor circuits underlying vertebrate behavior remain elusive. Recent advances in zebrafish neuroscience offer new opportunities to dissect such circuits via whole-brain imaging, behavioral analysis, functional perturbations, and network modeling. Here, we harness these tools to generate a brain-scale circuit model of the optomotor response, an orienting behavior evoked by visual motion. We show that such motion is processed by diverse neural response types distributed across multiple brain regions. To transform sensory input into action, these regions sequentially integrate eye- and direction-specific sensory streams, refine representations via interhemispheric inhibition, and demix locomotor instructions to independently drive turning and forward swimming. While experiments revealed many neural response types throughout the brain, modeling identified the dimensions of functional connectivity most critical for the behavior. We thus reveal how distributed neurons collaborate to generate behavior and illustrate a paradigm for distilling functional circuit models from whole-brain data.
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“The first iteration, simZFish1.0, successfully replicates key behavioral aspects of zebrafish OMR, partly due to its tuning to match behaviors for limited orthogonal stimuli (25).”
From Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors (2025) · cites this paper as [25]
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“Moreover, medial/forward motion-responsive neurons are the most frequent monocular response type in real zebrafish (iMM (25), cf.,’MoNL’ (32)), which respond to medial (nasalward) and forward (translational) motion.”
From Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors (2025) · cites this paper as [25]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“Current models of zebrafish visuomotor transformations rely on correlation-based neural activity, lack realistic representations of the retina or motor systems (25, 29), omit the ability to manipulate neural connectivity, and exclude closed-loop observations of neural activation during behavior, which limits the integrative investigation of the system within its sensory and physical environment.”
From Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors (2025) · cites this paper as [25]
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“Although it is plausible that alternative neural circuits favoring lower anterior DSGCs connectivity could be equally effective, they would require downstream visuomotor circuits different from those experimentally observed (25).”
From Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors (2025) · cites this paper as [25]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“Specifically, our simulations explain why pretectal neurons in real zebrafish preferentially respond to motion in the lower posterior visual field (25, 30, 31), because with laterally positioned eyes, translational, bottom-projected visual stimuli generate opposing rotational optic flow patterns (Fig. 4E).”
From Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors (2025) · cites this paper as [25]
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“Restricting retinal-pretectal connectivity to only one quadrant, may confer computational advantages, allowing combined processing of forward/medial and backward/lateral motion which drive or reduce locomotion, respectively (25).”
From Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors (2025) · cites this paper as [25]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“Although brain scale imaging (25, 60, 68) and causal manipulations (69) via optogenetics are possible in zebrafish, they are costly and technically challenging, particularly during movement (70).”
From Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors (2025) · cites this paper as [25]
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“Benefitting from detailed experimental data (25, 29–34) and recent advances in physics simulation technologies (35), our open-source simZFish faithfully reproduces the zebrafish OMR, utilizing experimentally observed neural activity (25).”
From Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors (2025) · cites this paper as [25]
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“As suggested by our previous modeling, lPTs collectively control the movement direction by activating neurons of the anterior hindbrain (aHB) (25, 30), which suppresses behavioral oscillation via reciprocal inhibition (Fig. 2E).”
From Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors (2025) · cites this paper as [25]
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“These neurons exist in real zebrafish in at least eight mirror symmetric sets of direction-selective functional response types (25).”
From Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors (2025) · cites this paper as [25]
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“To achieve a biorealistic artificial neural architecture, we synthesized anatomical (30, 41), functional (25, 31, 32), and computational findings (25), creating an embedded multi-layer network model of the OMR visuomotor pathways consisting of rate-coding artificial neurons (Fig. 2A).”
From Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors (2025) · cites this paper as [25]
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“By initializing simZFish’s circuits with our experimentally derived, best-fit (25) connection weights (Fig. S3G), minimal additional tuning achieved functional connectivity that demonstrated similar activation patterns to zebrafish neurons to the direction and eye-specific stimuli (Fig. 2F, G).”
From Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors (2025) · cites this paper as [25]
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Citations
Cites
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Preface: Cerebral Cortex Has Come of Age
Goldman, P. S., & RAKIC, P. T. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1-a · Cited by 3,537
The importance of mixed selectivity in complex cognitive tasks
Rigotti, M., Barak, O., Warden, M. R., Wang, X.-J., Daw, N. D., Miller, E. K., & Fusi, S. (2013) · Nature · doi:10.1038/nature12160 · Cited by 1,639
Whole-brain functional imaging at cellular resolution using light-sheet microscopy
Ahrens, M. B., Orger, M. B., Robson, D. N., Li, J. M., & Keller, P. J. (2013) · Nature Methods · doi:10.1038/nmeth.2434 · Cited by 1,392
The Neuronal Organization of the Retina
Masland, R. H. (2012) · Neuron · doi:10.1016/j.neuron.2012.10.002 · Cited by 1,245
Functional specificity of local synaptic connections in neocortical networks
Ko, H., Hofer, S. B., Pichler, B., Buchanan, K. A., Sjöström, P. J., & Mrsic‐Flogel, T. D. (2011) · Nature · doi:10.1038/nature09880 · Cited by 834
Eye Smarter than Scientists Believed: Neural Computations in Circuits of the Retina
Gollisch, T., & Meister, M. (2010) · Neuron · doi:10.1016/j.neuron.2009.12.009 · Cited by 795
Brain-wide neuronal dynamics during motor adaptation in zebrafish
Ahrens, M. B., Li, J. M., Orger, M. B., Robson, D. N., Schier, A. F., Engert, F., & Portugues, R. (2012) · Nature · doi:10.1038/nature11057 · Cited by 729 · cited 1×
“Recent studies using brain-wide imaging have revealed that sensorimotor processing is indeed widely distributed across the entire zebrafish brain (Ahrens et al., 2012, 2013a; Portugues et al., 2014).”
Self-citationDissecting a circuit for olfactory behaviour in Caenorhabditis elegans
Chalasani, S. H., Chronis, N., Tsunozaki, M., Gray, J. M., Ramot, D., Goodman, M. B., & Bargmann, C. I. (2007) · Nature · doi:10.1038/nature06292 · Cited by 630
Global Brain Dynamics Embed the Motor Command Sequence of Caenorhabditis elegans
Kato, S., Kaplan, H. S., Schrödel, T., Skora, S., Lindsay, T. H., Yemini, E., Lockery, S. R., & Zimmer, M. (2015) · Cell · doi:10.1016/j.cell.2015.09.034 · Cited by 536
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Reynolds, P., Marchi, D., Ling, Y. T., Slangewal, K., Capelle, M. Q., Chalakova, Z., Bahl, A., & Hindges, R. (2026) · Neuron · doi:10.1016/j.neuron.2026.05.001 · Cited by 9
Modulation of calcineurin signaling during development
Edmister, S. T., & Créton, R. (2022) · Developmental Neurobiology · doi:10.1002/dneu.22895 · Cited by 2
Spatial Subdomains in the Optic Tectum for the Encoding of Visual Information
Shallcross, T., Diana, G., Burrone, J., & Meyer, M. P. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.1438-24.2025 · Cited by 2
Hsieh, J.-Y., & Papazian, D. M. (2017) · Neuromethods · doi:10.1007/978-1-4939-7549-5_11 · Cited by 2
PiVR: an affordable and versatile closed-loop platform to study unrestrained sensorimotor behaviorPreprint
Tadres, D., & Louis, M. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.20.885442 · Cited by 2
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Priebe, C. E., Vogelstein, J. T., Engert, F., & White, C. M. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.29.068460 · Cited by 4
Self-citationimprov : A software platform for real-time and adaptive neuroscience experimentsPreprint
Draelos, A., Loring, M. D., Nikitchenko, M., Sriworarat, C., Gupta, P., Sprague, D., Pnevmatikakis, E. A., Giovannucci, A., Benster, T., Deisseroth, K. A., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.22.432006 · Cited by 2
Self-citationFouke, K. E., He, Z., Loring, M. D., & Naumann, E. A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.22.624938 · Cited by 2
Self-citationChen, W., James, B., Ruetten, V. M. S., Banala, S., Wei, Z., Fleishman, G. M., Rubinov, M., Fishman, M. C., Engert, F., Lavis, L. D., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.26.645305 · Cited by 2
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Tanaka, R., & Portugues, R. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.15.648832 · Cited by 2
Cardiac interoception impacts behavior and brain-wide neuronal dynamicsPreprint
Herrera, K. J., Zarghani-Shiraz, A., Ahrens, M. B., Engert, F., & Fishman, M. C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.25.650721 · Cited by 2
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Harpaz, R., Carneiro, P. P., Isoe, Y., Fishman, M. C., & Engert, F. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.25.666863 · Cited by 2
Self-citationMeyer, D., Kroeschell, G., Lu, X., Hoang, L., Wang, H., Li, S., Xu, Y. K. T., Tian, L., Mumm, J. S., Bergles, D. E., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.16.694458 · Cited by 2
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Turrini, L. (2020) · Premio Tesi dottorato/Premio Tesi di dottorato · doi:10.36253/978-88-5518-070-2 · Cited by 1
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Matsuda, K., Wang, C., Kakinuma, H., Toyoda, A., Shiraki, T., Kawakami, K., & Kubo, F. (2026) · Nature Communications · doi:10.1038/s41467-026-71371-6 · Cited by 1
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Özcan, G. G., & Rihel, J. (2026) · Genetics · doi:10.1093/genetics/iyag027 · Cited by 1
Self-citationBuilding digital twin brains at the limits of measurement
Zhang, R., Hou, Y., Lu, W., & Feng, J. (2026) · Nature Reviews Electrical Engineering · doi:10.1038/s44287-026-00320-8 · Cited by 1
Guilbeault, N. C., Westbrook, M. E., Krishna, V. S., Ansari, R., Keth, A., Arrenberg, A. B., Juntti, S. A., & Thiele, T. R. (2026) · iScience · doi:10.1016/j.isci.2026.117136 · Cited by 1
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Le, S. U. N., & Du, J. (2018) · Scientia Sinica Vitae · doi:10.1360/n052017-00215 · Cited by 1
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Diana, G., Sainsbury, T. T. J., & Meyer, M. P. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/452557 · Cited by 1
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Draelos, A., Naumann, E. A., & Pearson, J. M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.13911 · Cited by 1
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Madden, M., Šuminaite, D., Ortiz, E. A., Early, J. J., Koudelka, S., Livesey, M. R., Bianco, I. H., Granato, M., & Lyons, D. A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.20.440476 · Cited by 1
Zarei, M., Xie, D., Jiang, F., Abigrove, A., Huang, B., Raj, A., Nagarajan, S. S., & Guo, S. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.02.446741 · Cited by 1
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Toyoshima, Y., Sato, H., Nagata, D., Kanamori, M., Jang, M., Kuze, K., Oe, S., Teramoto, T., Iwasaki, Y., Yoshida, R., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.18.517011 · Cited by 1
Sy, S. K. H., Chan, D. C. W., Zhang, J. J., Lyu, J., Feng, C., Wang, K., Mok, V., Wong, K. K. Y., Mu, Y., Hu, Y., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.27.620486 · Cited by 1
Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Baier, H., Slanchev, K., & Bahl, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.12.669772 · Cited by 1
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Isoe, Y., Mabene, Y. F., Bind, M., & Engert, F. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.22.671687 · Cited by 1
Self-citationSy, S. K. H., Chan, D. C. W., Zhang, J. J., Lyu, J., Feng, C., Wang, K., Mok, V., Wong, K. K. Y., Mu, Y., Hu, Y., et al. (2026) · eLife · doi:10.7554/elife.109494.1 · Cited by 2
Lim, J.-X., Wei, Z., Narayan, S., Zhang, Y., Hasseman, J. P., Kolb, I., Zheng, J., Sheikhattar, A., Mi, X., Zheng, W. H., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.05.704034 · Cited by 1
Self-citationGarza, R., Hady, A. E., & Bahl, A. (2026) · Communications Biology · doi:10.64898/2026.03.01.708829 · Cited by 1
Zebrafish in Biomedical Research
Cleghorn, W. M., & Brockerhoff, S. E. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-812431-4.00021-x · Cited by 1
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FUJIWARA, T. (2020) · Hikaku seiri seikagaku(Comparative Physiology and Biochemistry) · doi:10.3330/hikakuseiriseika.37.62
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Sy, S. K. H., Chan, D. C. W., Chan, R. C. H., Lyu, J., Li, Z., Wong, K. K. Y., Choi, C. H. J., Mok, V., Lai, H. M., Hu, Y., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.20.431946
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Zaki, H., Lushi, E., & Severi, K. E. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.09.451841
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森永, 茂., 岡林, 美., 飯田, 佳., & 大崎, 佳. (2010) · 日本土壌肥料学会講演要旨集
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Brembs, B., & Lyutova, R. (2021) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.739890013.793585345
Anneser, L. (2021) · Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) · doi:10.21248/gups.64464
Goodhill, G. J., & McCullough, M. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735606878.793561858
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Ali, M. A., & Bollmann, J. H. (2022) · Current Biology · doi:10.1016/j.cub.2022.04.084
Karaduman, A., Karoglu-Eravsar, E. T., Adams, M. M., & Kafalıgönül, H. (2023) · Behavioural Brain Research · doi:10.1016/j.bbr.2023.114812
Forsthofer, M., Gordy, C., Kolluri, M., & Straka, H. (2023) · eNeuro · doi:10.1523/eneuro.0371-23.2023
Zarei, M., Xie, D., Jiang, F., Bagirov, A., Huang, B., Raj, A., Nagarajan, S. S., & Guo, S. (2022) · Figshare · doi:10.6084/m9.figshare.19582444
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Chen, T.-L., Deng, Q.-S., Lin, K., Zheng, X., Wang, X., Zhong, Y., Ning, X.-Y., Li, Y., Xu, F., Du, J., et al. (2026) · eLife · doi:10.7554/elife.100880.4
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Waalkes, M. (2024) · doi:10.33915/etd.12496 · Cited by 1
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Sy, S. K. H., Chan, D. C. W., Zhang, J. J., Lyu, J., Feng, C., Wang, K., Mok, V., Wong, K. K. Y., Mu, Y., Hu, Y., et al. (2026) · eLife · doi:10.7554/elife.109494
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Self-citationAltafin, J. P., de Souza, A. M., Teixeira, J. R. D. S., de Medeiros, S. R. B., Sanches, E. A., & Luchiari, A. C. (2026) · Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology · doi:10.1016/j.cbpc.2026.110508
Yi, J., Meyer, D., Kroeschell, G., Lu, X., Hoang, L.-N., Wang, H., Li, S., Xu, Y., Tian, L., Mumm, J. S., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-8613781/v1
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Karpenko, S. (2020) · theses.fr (ABES) · doi:10.70675/0f60462czd06dz458ez91bcz84d501e2f9a9
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Privat, M. (2021) · theses.fr (ABES) · doi:10.70675/c7cf74ebze0c8z47f3zb7daz88662078804c
Robbins, K. G., Bredbenner, A., Osbaldeston, R. A., Villafañe, K., Shin, E. E., Merkulova, E., Clevenger, A., Delean, P. B., Campos, C., Peet, G. C., et al. (2026) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2026.1772915
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McCarthy, E., Gertner, L., Ciocirlan, J., & CONNAUGHTON, V. P. (2026) · PLoS ONE · doi:10.1371/journal.pone.0348975
Dommanget-Kott, M., Fernández-de-Cossio-Díaz, J., Faye-Bédrin, G., Debrégeas, G., & Bormuth, V. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2529064123
Metadata
- Authors
- Naumann, E. A., Fitzgerald, J. E., Dunn, T. W., Rihel, J., Sompolinsky, H., & Engert, F.
- Affiliations
- Harvard University (US)
- University College London (GB)
- Corresponding author
- Engert, Florian
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 167
- Issue
- 4
- Pages
- 947-960.e20
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC5111816
- OpenAlex
- W2547071550
- Semantic Scholar
- 85fc104dab138ca2a31f934dc1146b54f5c3cb3a
- Cited by
- 315
- References
- 54
- Citations by year
- 2026: 46 · 2025: 40 · 2024: 22 · 2023: 17 · 2022: 44 · 2021: 40 · 2020: 42 · 2019: 24 · 2018: 25 · 2017: 14
- FWCI
- 14.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- NIH (U01NS090449, DP1 NS082121, R24NS086601)
- Simons Foundation (SCGB#325207)
- European Research Council (282027 ZFISHSLEEP)
- Marie Curie Fellowship (PIIF-GA-2012-328847)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Zebrafish Biomedical Research Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- optomotor response, zebrafish, sensorimotor circuits, visual motion processing, interhemispheric inhibition, functional connectivity, locomotor behavior, orienting
- MeSH terms
- Animals, Brain, Neural Pathways, Neurons, Swimming, Visual Perception, Zebrafish, Feedback, Sensory, Neuroimaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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