ArticleNeural computation2017
Rat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics.
Article in Neural computation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Article
- Encoding of 2D Self-Centered Plans and World-Centered Positions in the Rat Frontal Orienting Field.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Stable fixed points of combinatorial threshold-linear networks.Advances in applied mathematics · 2024Article
- Revealing and reshaping attractor dynamics in large networks of cortical neurons.PLoS computational biology · 2024Article
- The rat frontal orienting field dynamically encodes value for economic decisions under risk.Nature neuroscience · 2023Article
- Value dynamics affect choice preparation during decision-making.Nature neuroscience · 2023Article
- Attractor and integrator networks in the brain.Nature reviews. Neuroscience · 2022Review
- Stable choice coding in rat frontal orienting fields across model-predicted changes of mind.Nature communications · 2022Article
- 50 years of mnemonic persistent activity: quo vadis?Trends in neurosciences · 2021Review
- A cortico-collicular pathway for motor planning in a memory-dependent perceptual decision task.Nature communications · 2021Article
- Article
- Error-correcting dynamics in visual working memory.Nature communications · 2019Article
- Cerebellar disruption impairs working memory during evidence accumulation.Nature communications · 2019Article
- Article
- More than Just a "Motor": Recent Surprises from the Frontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Review
- Rats adopt the optimal timescale for evidence integration in a dynamic environment.Nature communications · 2018Article
- Causal contribution and dynamical encoding in the striatum during evidence accumulation.eLife · 2018Article
- Mutual Information and Information Gating in Synfire Chains.Entropy (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Two-node attractor networks are flexible models for neural activity during decision making. Depending on the network configuration, these networks can model distinct aspects of decisions including evidence integration, evidence categorization, and decision memory. Here, we use attractor networks to model recent causal perturbations of the frontal orienting fields (FOF) in rat cortex during a perceptual decision-making task (Erlich, Brunton, Duan, Hanks, & Brody, 2015 ). We focus on a striking feature of the perturbation results. Pharmacological silencing of the FOF resulted in a stimulus-independent bias. We fit several models to test whether integration, categorization, or decision memory could account for this bias and found that only the memory configuration successfully accounts for it. This memory model naturally accounts for optogenetic perturbations of FOF in the same task and correctly predicts a memory-duration-dependent deficit caused by silencing FOF in a different task. Our results provide mechanistic support for a "postcategorization" memory role of the FOF in upcoming choices.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.