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.
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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 [29]
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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 [29]
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“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]
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“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]
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Bhardwaj, A., Kaur, J., Wuest, M., & Wuest, F. (2017) · Nature Communications · doi:10.1038/s41467-016-0009-6 · Cited by 7,448
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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
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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
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