Rat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics.

TitleRat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics.
Publication TypeJournal Article
Year of Publication2017
AuthorsPiet, AT, Erlich, JC, Kopec, CD, Brody, CD
JournalNeural Comput
Volume29
Issue11
Pagination2861-2886
Date Published2017 11
ISSN1530-888X
KeywordsAnimals, Computer Simulation, Decision Making, Functional Laterality, GABA-A Receptor Agonists, Memory, Models, Neurological, Models, Psychological, Muscimol, Neural Networks, Computer, Prefrontal Cortex, Psychometrics, Rats, Time Factors
Abstract

<p>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.</p>

DOI10.1162/neco_a_01005
Alternate JournalNeural Comput
PubMed ID28777728
PubMed Central IDPMC6535097
Grant ListT32 MH065214 / MH / NIMH NIH HHS / United States