The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Neural circuits for evidence accumulation and decision making in larval zebrafish
Open accessAbstract
To make appropriate decisions, animals need to accumulate sensory evidence. Simple integrator models can explain many aspects of such behavior, but how the underlying computations are mechanistically implemented in the brain remains poorly understood. Here we approach this problem by adapting the random-dot motion discrimination paradigm, classically used in primate studies, to larval zebrafish. Using their innate optomotor response as a measure of decision making, we find that larval zebrafish accumulate and remember motion evidence over many seconds and that the behavior is in close agreement with a bounded leaky integrator model. Through the use of brain-wide functional imaging, we identify three neuronal clusters in the anterior hindbrain that are well suited to execute the underlying computations. By relating the dynamics within these structures to individual behavioral choices, we propose a biophysically plausible circuit arrangement in which an evidence integrator competes against a dynamic decision threshold to activate a downstream motor command.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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 [29]
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.
In the citing paper
“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 [29]
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.
In the citing paper
“These neural circuits include mainly several stages of the sensory and perceptual systems, some sensorimotor forebrain circuits, the optic tectum, the cerebellum, and various premotor centers and descending pathways in the brainstem and medulla”
From Spatial Cognition in Teleost Fish: Strategies and Mechanisms (2021) · cites this paper as [107]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“the output neurons in the intermediate and deep layers of the teleost optic tectum are able to initiate orientation or avoidance responses through their projections to the reticular formation and other pre-motor cell groups in the brainstem, which in turn activate the motoneurons in the oculomotor nuclei and spinal cord that control orienting eye and body movements”
From Spatial Cognition in Teleost Fish: Strategies and Mechanisms (2021) · cites this paper as [107]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
In situ click chemistry generation of cyclooxygenase-2 inhibitors
Bhardwaj, A., Kaur, J., Wuest, M., & Wuest, F. (2017) · Nature Communications · doi:10.1038/s41467-016-0009-6 · Cited by 7,448
Ultrasensitive fluorescent proteins for imaging neuronal activity
Chen, T.-W., Wardill, T. J., Sun, Y., Pulver, S. R., Renninger, S. L., Baohan, A., Schreiter, E. R., Kerr, R. A., Orger, M. B., Jayaraman, V., et al. (2013) · Nature · doi:10.1038/nature12354 · Cited by 6,474
Avants, B., Epstein, C. L., Grossman, M., & Gee, J. C. (2007) · Medical Image Analysis · doi:10.1016/j.media.2007.06.004 · Cited by 5,924
Neural Basis of a Perceptual Decision in the Parietal Cortex (Area LIP) of the Rhesus Monkey
Shadlen, M. N., & Newsome, W. T. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.86.4.1916 · Cited by 1,755
Diffusion decision model: Current issues and history
Ratcliff, R., Smith, P. L., Brown, S. D., & McKoon, G. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.01.007 · Cited by 1,630
Newsome, W., & Pare, E. (1988) · The Journal of Neuroscience · doi:10.1523/jneurosci.08-06-02201.1988 · Cited by 1,615
Roitman, J. D., & Shadlen, M. N. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-21-09475.2002 · Cited by 1,589
Probabilistic decision making by slow reverberation in cortical circuits
Wang, X.-J. (2002) · Neuron · doi:10.1016/s0896-6273(02)01092-9 · Cited by 1,242
Multiple Dirac cones at the surface of the topological metal LaBi
Nayak, J., Wu, S.-C., Kumar, N., Shekhar, C., Singh, S., Fink, J., Rienks, E. E. D., Fecher, G. H., Parkin, S., Yan, B., et al. (2017) · Nature Communications · doi:10.1038/ncomms13942 · Cited by 1,180
Neuronal correlates of a perceptual decision
Newsome, W. T., Britten, K. H., & Movshon, J. A. (1989) · Nature · doi:10.1038/341052a0 · Cited by 1,177
Cited by
Sorted by citations
The connectome of an insect brain
Winding, M., Pedigo, B. D., Barnes, C. L., Patsolic, H. G., Park, Y., Kazimiers, T., Fushiki, A., Andrade, I. V., Khandelwal, A., Valdes-Aleman, J., et al. (2023) · Science · doi:10.1126/science.add9330 · Cited by 435
Signal propagation in complex networks
Ji, P., Ye, J., Mu, Y., Lin, W. J., Tian, Y., Hens, C., Perc, M., Tang, Y. S., Sun, J., & Kurths, J. (2023) · Physics Reports · doi:10.1016/j.physrep.2023.03.005 · Cited by 375
The geometry of decision-making in individuals and collectives
Sridhar, V. H., Li, L., Gorbonos, D., Nagy, M., Schell, B. R., Sorochkin, T., Gov, N. S., & Couzin, I. D. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2102157118 · Cited by 120
Imaging whole-brain activity to understand behaviour
Lin, A., Witvliet, D. K., Hernandez-Nunez, L., Linderman, S. W., Samuel, A. D. T., & Venkatachalam, V. (2022) · Nature Reviews Physics · doi:10.1038/s42254-022-00430-w · Cited by 79
Norepinephrine changes behavioral state through astroglial purinergic signaling
Chen, A., Duque, M., Rymbek, A., Dhanasekar, M., Wang, V. M., Mi, X., Tocquer, L., Narayan, S., Legorreta, E. M., Eddison, M., et al. (2025) · Science · doi:10.1126/science.adq5233 · Cited by 93
Self-citationA 3D adult zebrafish brain atlas (AZBA) for the digital age
Kenney, J. W., Steadman, P. E., Young, O., Shi, M. T., Polanco, M., Dubaishi, S., Covert, K., Mueller, T., & Frankland, P. W. (2021) · eLife · doi:10.7554/elife.69988 · Cited by 75
Precise visuomotor transformations underlying collective behavior in larval zebrafish
Harpaz, R., Nguyen, M. N., Bahl, A., & Engert, F. (2021) · Nature Communications · doi:10.1038/s41467-021-26748-0 · Cited by 63
Self-citationCollective detection based on visual information in animal groups
Davidson, J. D., Sosna, M. M. G., Twomey, C. R., Sridhar, V. H., Leblanc, S. P., & Couzin, I. D. (2021) · Journal of The Royal Society Interface · doi:10.1098/rsif.2021.0142 · Cited by 68
A cerebellar internal model calibrates a feedback controller involved in sensorimotor control
Markov, D. A., Petrucco, L., Kist, A. M., & Portugues, R. (2021) · Nature Communications · doi:10.1038/s41467-021-26988-0 · Cited by 68
Fontana, B. D., Müller, T. E., Cleal, M., de Abreu, M. S., Norton, W., Demin, K. A., Amstislavskaya, T. G., Petersen, E. V., Kalueff, A. V., Parker, M. O., et al. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2021.101993 · Cited by 61
Spatial Cognition in Teleost Fish: Strategies and Mechanisms
Rodríguez, F., Quintero, B., Amores, L., Madrid, D., Salas-Peña, C., & Salas, C. (2021) · Animals · doi:10.3390/ani11082271 · Cited by 59
Im, J., Eom, H.-J., & Choi, J. (2022) · Archives of Environmental Contamination and Toxicology · doi:10.1007/s00244-022-00924-9 · Cited by 58
A brainstem integrator for self-location memory and positional homeostasis in zebrafish
Yang, E., Zwart, M., James, B., Rubinov, M., Wei, Z., Narayan, S., Vladimirov, N., Mensh, B. D., Fitzgerald, J. E., & Ahrens, M. B. (2022) · Cell · doi:10.1016/j.cell.2022.11.022 · Cited by 63
Brain-Wide Mapping of Water Flow Perception in Zebrafish
Vanwalleghem, G. C., Schuster, K., Taylor, M. A., Favre‐Bulle, I. A., & Scott, E. K. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0049-20.2020 · Cited by 57
An Algorithmic Approach to Natural Behavior
Hein, A. M., Altshuler, D. L., Cade, D. E., Liao, J. C., Martin, B. T., & Taylor, G. K. (2020) · Current Biology · doi:10.1016/j.cub.2020.04.018 · Cited by 54
Current Methods to Investigate Nociception and Pain in Zebrafish
Ohnesorge, N., Heinl, C., & Lewejohann, L. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.632634 · Cited by 48
Response competition between neurons and antineurons in the mushroom body
Vrontou, E., Groschner, L. N., Szydlowski, S. N., Brain, R., Krebbers, A., & Miesenböck, G. (2021) · Current Biology · doi:10.1016/j.cub.2021.09.008 · Cited by 50
A rise-to-threshold process for a relative-value decision
Vijayan, V., Wang, F., Wang, K., Chakravorty, A., Adachi, A., Akhlaghpour, H., Dickson, B. J., & Maimon, G. (2023) · Nature · doi:10.1038/s41586-023-06271-6 · Cited by 49
The Visual Systems of Zebrafish
Baier, H., & Scott, E. K. (2024) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-111020-104854 · Cited by 53
Collective behavior emerges from genetically controlled simple behavioral motifs in zebrafish
Harpaz, R., Aspiras, A., Chambule, S., Tseng, S., Bind, M.-A. C., Engert, F., Fishman, M., & Bahl, A. (2021) · bioRxiv · doi:10.1126/sciadv.abi7460 · Cited by 48
Self-citationThe Role of Zebrafish and Laboratory Rodents in Schizophrenia Research
Langová, V., Valeš, K., Horká, P., & Horáček, J. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00703 · Cited by 45
Navarro, M. A., Salari, A., Lin, J. L., Cowan, L. M., Penington, N. J., Milescu, M., & Milescu, L. S. (2020) · eLife · doi:10.7554/elife.54940 · Cited by 43
Whole-brain interactions underlying zebrafish behavior
Loring, M. D., Thomson, E. E., & Naumann, E. A. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.09.011 · Cited by 41
Neural substrates involved in the cognitive information processing in teleost fish
Calvo, R. A., & Schluessel, V. (2021) · Animal Cognition · doi:10.1007/s10071-021-01514-3 · Cited by 41
A Customizable Low-Cost System for Massively Parallel Zebrafish Behavioral Phenotyping
Joo, W. J., Vivian, M. D., Graham, B. J., Soucy, E. R., & Thyme, S. B. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.606900 · Cited by 34
Dense Circuit Reconstruction to Understand Neuronal Computation: Focus on Zebrafish
Friedrich, R. W., & Wanner, A. A. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-110220-013050 · Cited by 33
A Neural Representation of Naturalistic Motion-Guided Behavior in the Zebrafish Brain
Yildizoglu, T., Riegler, C., Fitzgerald, J. E., & Portugues, R. (2020) · Current Biology · doi:10.1016/j.cub.2020.04.043 · Cited by 34
Functional neuronal circuits emerge in the absence of developmental activity
Barabási, D. L., Schuhknecht, G. F. P., & Engert, F. (2024) · Nature Communications · doi:10.1038/s41467-023-44681-2 · Cited by 31
Self-citationFish Capsules: A System for High‐Throughput Screening of Combinatorial Drugs
Tang, M., Duan, X., Yang, A., He, S., Zhou, Y., Liu, Y., Zhang, L., Luo, X., Shi, P., Li, H., et al. (2022) · Advanced Science · doi:10.1002/advs.202104449 · Cited by 34
From perception to behavior: The neural circuits underlying prey hunting in larval zebrafish
Zhu, S., & Goodhill, G. J. (2023) · Frontiers in Neural Circuits · doi:10.3389/fncir.2023.1087993 · Cited by 31
Circuit Organization Underlying Optic Flow Processing in Zebrafish
Matsuda, K., & Kubo, F. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.709048 · Cited by 31
Duque, M., Chen, A., Hsu, E. T., Narayan, S., Rymbek, A., Begum, S., Saher, G., Cohen, A. E., Olson, D. E., Li, Y., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.11.011 · Cited by 31
Self-citationNaturalistic neuroscience and virtual reality
Thurley, K. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.896251 · Cited by 39
Structure and function in artificial, zebrafish and human neural networks
Ji, P., Wang, Y., Peron, T., Li, C., Nagler, J., & Du, J. (2023) · Physics of Life Reviews · doi:10.1016/j.plrev.2023.04.004 · Cited by 27
Hasty sensorimotor decisions rely on an overlap of broad and selective changes in motor activity
Derosière, G., Thura, D., Cisek, P., & Duqué, J. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001598 · Cited by 22
Zebrafish and nematodes as whole organism models to measure developmental neurotoxicity
Hughes, S., & Hessel, E. V. S. (2024) · Critical Reviews in Toxicology · doi:10.1080/10408444.2024.2342448 · Cited by 28
The neural network RTNet exhibits the signatures of human perceptual decision-making
Rafiei, F., Shekhar, M., & Rahnev, D. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01914-8 · Cited by 37
Complex computation from developmental priors
Barabási, D. L., Beynon, T., Katona, Á., & Perez-Nieves, N. (2023) · Nature Communications · doi:10.1038/s41467-023-37980-1 · Cited by 31
Algorithms underlying flexible phototaxis in larval zebrafish
Chen, A., Deb, D., Bahl, A., & Engert, F. (2021) · Journal of Experimental Biology · doi:10.1242/jeb.238386 · Cited by 24
Self-citationZebrafish as a Model for In-Depth Mechanistic Study for Stroke
Chen, W., Xie, L., Yu, F., Li, Y., Chen, C., Xie, W., Huang, T., Zhang, Y., Zhang, S., & Li, P. (2021) · Translational Stroke Research · doi:10.1007/s12975-021-00907-3 · Cited by 23
Ramp-to-threshold dynamics in a hindbrain population controls the timing of spontaneous saccades
Ramirez, A. D., & Aksay, E. R. F. (2021) · Nature Communications · doi:10.1038/s41467-021-24336-w · Cited by 24
Martorell, N., & Medan, V. (2022) · Scientific Reports · doi:10.1038/s41598-022-04998-2 · Cited by 22
Goodwin, R. A., Lai, Y. G., Taflin, D. E., Smith, D. L., McQuirk, J., Trang, R., & Reeves, R. L. (2023) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2023.703946 · Cited by 25
Characterizing ontogeny of quantity discrimination in zebrafish
Sheardown, E., Torres-Pérez, J. V., Anagianni, S., Fraser, S. E., Vallortígara, G., Butterworth, B. L., Petrazzini, M. E. M., & Brennan, C. H. (2022) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2021.2544 · Cited by 21
Narayanan, S., Varma, A., & Thirumalai, V. (2024) · Science Advances · doi:10.1126/sciadv.adi6470 · Cited by 21
Collins, E. S., Hessel, E. V. S., & Hughes, S. (2024) · NeuroToxicology · doi:10.1016/j.neuro.2024.03.005 · Cited by 20
The neuroscience of mental illness: Building toward the future
Gordon, J. A., Dzirasa, K., & Petzschner, F. H. (2024) · Cell · doi:10.1016/j.cell.2024.09.028 · Cited by 23
Stimulus Contrast Information Modulates Sensorimotor Decision Making in Goldfish
Otero-Coronel, S., Martorell, N., de Astrada, M. B., & Medan, V. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.00023 · Cited by 18
A 3D Adult Zebrafish Brain Atlas (AZBA) for the Digital Age
Kenney, J. W., Steadman, P. E., Young, O., Shi, M. T., Polanco, M., Dubaishi, S., Covert, K., Mueller, T., & Frankland, P. W. (2021) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5061/dryad.dfn2z351g · Cited by 18
Brain-wide, scale-wide physiology underlying behavioral flexibility in zebrafish
Mu, Y., Narayan, S., Mensh, B. D., & Ahrens, M. B. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.08.013 · Cited by 19
Fouke, K. E., He, Z., Loring, M. D., & Naumann, E. A. (2024) · Current Biology · doi:10.1016/j.cub.2025.04.027 · Cited by 18
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., Randlett, O., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-35836-2 · Cited by 17
Structural and functional organization of visual responses in the inferior olive of larval zebrafish
Félix, R., Markov, D. A., Renninger, S. L., Tomás, A. R., Laborde, A., Carey, M. R., Orger, M. B., & Portugues, R. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.2352-21.2023 · Cited by 15
Ferrario, A., Palyanov, A. Y., Koutsikou, S., Li, W., Soffe, S. R., Roberts, A., & Borisyuk, R. M. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009654 · Cited by 16
Structural and genetic determinants of zebrafish functional brain networks
Légaré, A., Lemieux, M., Boily, V., Poulin, S., Légaré, A., Desrosiers, P., & Koninck, P. D. (2025) · Science Advances · doi:10.1126/sciadv.adv7576 · Cited by 15
Bukwich, M., Campbell, M. G., Zoltowski, D. M., Kingsbury, L., Tomov, M. S., Stern, J., Kim, H. R., Drugowitsch, J., Linderman, S. W., & Uchida, N. (2025) · Neuron · doi:10.1016/j.neuron.2025.07.008 · Cited by 20
A push for examining subjective experience in value-based decision-making
Schreiner, D. C., Yalcinbas, E. A., & Gremel, C. M. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.03.020 · Cited by 15
A connectomic resource for neural cataloguing and circuit dissection of the larval zebrafish brainPreprint
Petkova, M. D., Januszewski, M., Blakely, T. M., Herrera, K. J., Schuhknecht, G. F. P., Tiller, R., Choi, J., Schalek, R. L., Boulanger-Weill, J., Peleg, A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.10.658982 · Cited by 16
Self-citationNature versus laboratory: how to optimize housing conditions for zebrafish neuroscience research
Tsang, B., & Gerlai, R. T. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.08.013 · Cited by 12
Large-scale F0 CRISPR screens in vivo using MIC-Drop
Parvez, S., Brandt, Z. J., & Peterson, R. T. (2023) · Nature Protocols · doi:10.1038/s41596-023-00821-y · Cited by 13
Zaupa, M., Nagaraj, N., Sylenko, A., Baier, H., Sawamiphak, S., & Filosa, A. (2024) · Neuron · doi:10.1016/j.neuron.2024.01.001 · Cited by 12
Three systems of circuit formation: assembly, updating and tuning
Barabási, D. L., Castro, A. F., & Engert, F. (2025) · Nature reviews. Neuroscience · doi:10.1038/s41583-025-00910-9 · Cited by 14
Self-citationSwimming into the future: Machine learning in zebrafish behavioral research
Fontana, B. D., Canzian, J., & Rosemberg, D. B. (2025) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2025.111398 · Cited by 11
Attentional switching in larval zebrafish
Krishnan, K., Muthukumar, A. V., Sterrett, S. C., Pflitsch, P., Fairhall, A. L., Fishman, M. C., Bahl, A., Zwaka, H., & Engert, F. (2025) · Science Advances · doi:10.1126/sciadv.ads4994 · Cited by 14
Self-citationInformation integration for decision-making in desert locusts
Günzel, Y., Oberhauser, F. B., & Couzin-Fuchs, E. (2023) · iScience · doi:10.1016/j.isci.2023.106388 · Cited by 10
Norepinephrine changes behavioral state via astroglial purinergic signalingPreprint
Chen, A., Duque, M., Wang, V. M., Dhanasekar, M., Mi, X., Rymbek, A., Tocquer, L., Narayan, S., Prober, D. A., Yu, G., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.23.595576 · Cited by 10
Self-citationBoulanger-Weill, J., Kämpf, F., Schuhknecht, G. F. P., Schalek, R. L., Garza, R., Petkova, M. D., Vohra, S. K., Wu, Y., Savaliya, J. H., Tiller, R., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.14.643363 · Cited by 10
Self-citationAbout Welfare and Stress in the Early Stages of Fish
Ramos, J., Balasch, J. C., & Tort, L. (2021) · Frontiers in Veterinary Science · doi:10.3389/fvets.2021.634434 · Cited by 11
Curpăn, A.-Ș., Balmuș, I.-M., Dobrin, R., Ciobica, A. S., Chele, G. E., Gorgan, L., & Boloș, A. (2022) · Brain Sciences · doi:10.3390/brainsci12091147 · Cited by 9
Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain
Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., & Bahl, A. (2026) · Nature Communications · doi:10.1038/s41467-026-69633-4 · Cited by 12
Self-citationScalable Electrophysiology of Millimeter-Scale Animals with Electrode Devices
Dong, K., Liu, W.-C., Su, Y., Lyu, Y., Huang, H., Zheng, N., Rogers, J. A., & Nan, K. (2023) · BME Frontiers · doi:10.34133/bmef.0034 · Cited by 10
Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors
Liu, X., Loring, M. D., Zunino, L., Fouke, K. E., Longchamp, F. A., Bernardino, A., Ijspeert, A. J., & Naumann, E. A. (2025) · Science Robotics · doi:10.1126/scirobotics.adv4408 · Cited by 8
Zebrafish brain atlases: a collective effort for a tiny vertebrate brain
Légaré, A., Lemieux, M., Desrosiers, P., & Koninck, P. D. (2023) · Neurophotonics · doi:10.1117/1.nph.10.4.044409 · Cited by 7
Spatiotemporal visual statistics of aquatic environments in the natural habitats of zebrafish
Cai, L. T., Krishna, V. S., Hladnik, T. C., Guilbeault, N. C., Vijayakumar, C., Arunachalam, M., Juntti, S. A., Arrenberg, A. B., Thiele, T. R., & Cooper, E. A. (2023) · Scientific Reports · doi:10.1038/s41598-023-36099-z · Cited by 8
Anatomical and functional organization of the interpeduncular nucleus in larval zebrafishPreprint
Wu, Y. K., Petrucco, L., & Portugues, R. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.09.617353 · Cited by 7
Jacobs, E. A. K., & Ryu, S. (2023) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2023.1143391 · Cited by 8
Hentig, J., Cloghessy, K., & Hyde, D. R. (2021) · Journal of Visualized Experiments · doi:10.3791/62745 · Cited by 6
A Visual Interface for Exploring Hypotheses About Neural Circuits
Vohra, S. K., Harth, P., Isoe, Y., Bahl, A., Fotowat, H., Engert, F., Hege, H., & Baum, D. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3243668 · Cited by 6
Self-citationExperience-dependent modulation of collective behavior in larval zebrafish
Harpaz, R., Phillips-Batra, M., Goel, R., Bind, M.-A. C., Fishman, M., & Engert, F. (2026) · Nature Communications · doi:10.1038/s41467-026-74872-6
Self-citationA cerebellar internal model calibrates a feedback controller involved in sensorimotor controlPreprint
Markov, D. A., Petrucco, L., Kist, A. M., & Portugues, R. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.02.12.945956 · Cited by 6
Nature over Nurture: Functional neuronal circuits emerge in the absence of developmental activityPreprint
Barabási, D. L., Schuhknecht, G. F. P., & Engert, F. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.24.513526 · Cited by 6
Self-citationBehavioral algorithms of ontogenetic switching in larval and juvenile zebrafish phototaxis
Capelle, M. Q., Slangewal, K., Eleftheriadis, P. E., & Bahl, A. (2026) · iScience · doi:10.1016/j.isci.2026.116190 · Cited by 4
Self-citationEvans, C. G., Barry, M. A., Perkins, M. H., Jing, J., Weiss, K. R., & Cropper, E. C. (2023) · Journal of Neurophysiology · doi:10.1152/jn.00190.2023 · Cited by 5
Navigational strategies underlying temporal phototaxis in Drosophila larvae
Zhu, M. L., Herrera, K. J., Vogt, K., & Bahl, A. (2021) · Journal of Experimental Biology · doi:10.1242/jeb.242428 · Cited by 5
Self-citationA brainstem integrator for self-localization and positional homeostasisPreprint
Yang, E., Zwart, M., Rubinov, M., James, B., Wei, Z., Narayan, S., Vladimirov, N., Mensh, B. D., Fitzgerald, J. E., & Ahrens, M. B. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.26.468907 · Cited by 5
RTNet neural network exhibits the signatures of human perceptual decision makingPreprint
Rafiei, F., Shekhar, M., & Rahnev, D. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.23.505015 · Cited by 6
Algorithmic dissection of optic flow memory in larval zebrafish
Tanaka, R., & Portugues, R. (2025) · Current Biology · doi:10.1016/j.cub.2025.08.047 · Cited by 5
Compression-based inference of network motif sets
Bénichou, A., Masson, J., & Vestergaard, C. L. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012460 · Cited by 5
Migault, G., Beiza-Canelo, N., Chatterjee, S., Debrégeas, G., & Bormuth, V. (2026) · Communications Biology · doi:10.1038/s42003-026-10141-y · Cited by 4
Theoretical principles for illuminating sensorimotor processing with brain-wide neuronal recordings
Tirthabir Biswas, A., Bishop, W. E., & Fitzgerald, J. E. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.10.021 · Cited by 4
Attentional Switching in Larval Zebrafish: The Attentive Leaky IntegratorPreprint
Krishnan, K., Muthukumar, A. V., Sterrett, S. C., Pflitsch, P., Fairhall, A. L., Fishman, M. C., Bahl, A., Zwaka, H., & Engert, F. (2023) · Research Square · doi:10.21203/rs.3.rs-3486824/v1 · Cited by 4
Self-citationMonnens, S. Q., Peters, C., Hesselink, L. W., Smeets, K., & Englitz, B. (2024) · eLife · doi:10.7554/elife.98489 · Cited by 5
Reynolds, P., Marchi, D., Ling, Y. T., Slangewal, K., Capelle, M. Q., Chalakova, Z., Bahl, A., & Hindges, R. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.29.651180 · Cited by 4
Self-citationIntegrated Ising model with global inhibition for decision-making
Tapinova, O., Finkelman, T., Reitich-Stolero, T., Paz, R., Tal, A., & Gov, N. S. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2423557122 · Cited by 4
Synchronization of behavioral and cardiac dynamics in larval zebrafish
Herrera, K. J., Zarghani-Shiraz, A., Ahrens, M. B., Engert, F., & Fishman, M. C. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.116947 · Cited by 6
Self-citationDistinct distributed neural dynamics predict pallium-dependent social approach
Lifshitz, I., Prag, A., Livneh, N., Moshkovitz, M., Karmi, A., & Avitan, L. (2026) · Nature Communications · doi:10.1038/s41467-026-71666-8 · Cited by 5
A thalamus–brainstem attractor network drives history-biased decisions
Zhao, S., Shan, H., Liu, X., Qian, Y., Huang, J., Liu, Y., Jiao, Z., Ye, L., Cong, L., Wang, X., et al. (2026) · Nature · doi:10.1038/s41586-026-10623-3 · Cited by 3
Wilde, M., Poulsen, R. E., Qin, W., Arnold, J., Favre‐Bulle, I. A., Mattingley, J. B., Scott, E. K., & Stednitz, S. J. (2025) · The Journal of Comparative Neurology · doi:10.1002/cne.70046 · Cited by 3
Buerkle, N. P., & Jeanne, J. M. (2021) · Current Biology · doi:10.1016/j.cub.2021.09.039 · Cited by 3
Sleep Disruption Improves Performance in Simple Olfactory and Visual Decision-Making TasksPreprint
Pflitsch, P., Oury, N. H., Krishnan, K., Joo, W. J., Lyons, D. G., Capelle, M. Q., Herrera, K. J., Bahl, A., Rihel, J., Engert, F., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.02.621641 · Cited by 3
Self-citation
Metadata
- Authors
- Bahl, A., & Engert, F.
- Affiliations
- Harvard University (US)
- Corresponding author
- Bahl, Armin
- Venue
- Nature Neuroscience
- Published
- 2019-12-02
- Volume
- 23
- Issue
- 1
- Pages
- 94-102
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC7295007
- OpenAlex
- W2991987583
- Cited by
- 166
- References
- 61
- Citations by year
- 2026: 28 · 2025: 31 · 2024: 28 · 2023: 22 · 2022: 15 · 2021: 30 · 2020: 11
- FWCI
- 8.29
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- KOPS (University of Konstanz) (submittedVersion)
- Funders
- Human Frontier Science Program (LT000626/2016)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Zebrafish Biomedical Research Applications
- Keywords
- evidence accumulation, decision-making, zebrafish larvae, optomotor response, decision threshold, motor command, neural circuits
- MeSH terms
- Animals, Brain, Decision Making, Larva, Models, Neurological, Neural Pathways, Neurons, Zebrafish
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review