Neural circuit models for evidence accumulation through choice-selective sequences Article Swipe
Lindsey S. Brown
,
Jounhong Ryan Cho
,
Scott S. Bolkan
,
Edward H. Nieh
,
Manuel Schottdorf
,
David W. Tank
,
Carlos D. Brody
,
Ilana B. Witten
,
Mark S. Goldman
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.09.01.555612
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.09.01.555612
Decision making is traditionally thought to be mediated by neurons that accumulate evidence through persistent activity. However, recent decision-making experiments in rodents have observed neurons across the brain that fire sequentially, rather than persistently, with the subset of neurons in the sequence depending on the animal's choice. We developed two new candidate circuit models in which neurons are active sequentially and transfer evidence faithfully to the next active population. One model encodes evidence in the relative firing of two competing chains of neurons, and the other in the network location of a stereotyped pattern ("bump") of neural activity. Neural recordings from four brain regions during an evidence accumulation task revealed that different regions displayed evidence tuning consistent with different candidate models. This work provides a mechanistic explanation for how graded information may be precisely accumulated within and transferred between neural populations, and suggests that different brain regions may accumulate evidence through different circuit mechanisms.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2023.09.01.555612
- https://www.biorxiv.org/content/biorxiv/early/2023/09/14/2023.09.01.555612.full.pdf
- OA Status
- green
- Cited By
- 4
- References
- 125
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386441586
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4386441586Canonical identifier for this work in OpenAlex
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- Title
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Neural circuit models for evidence accumulation through choice-selective sequencesWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-09-04Full publication date if available
- Authors
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Lindsey S. Brown, Jounhong Ryan Cho, Scott S. Bolkan, Edward H. Nieh, Manuel Schottdorf, David W. Tank, Carlos D. Brody, Ilana B. Witten, Mark S. GoldmanList of authors in order
- Landing page
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https://doi.org/10.1101/2023.09.01.555612Publisher landing page
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https://www.biorxiv.org/content/biorxiv/early/2023/09/14/2023.09.01.555612.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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-
greenOpen access status per OpenAlex
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-
https://www.biorxiv.org/content/biorxiv/early/2023/09/14/2023.09.01.555612.full.pdfDirect OA link when available
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Set (abstract data type), Neuroscience, Task (project management), Artificial neural network, Models of neural computation, Cognition, Computer science, Biology, Artificial intelligence, Management, Programming language, EconomicsTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 2, 2024: 2Per-year citation counts (last 5 years)
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125Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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