FROST: a distributed neurocomputational model of working memory maintenance

TitleFROST: a distributed neurocomputational model of working memory maintenance
Publication TypeJournal Article
Year of Publication2005
AuthorsF Ashby, G., Ell S. W., Valentin V. V., & Casale M. B.
JournalJournal of Cognitive Neuroscience
Volume17
Issue11
Pagination1728-1743
Date Published2005 Nov
ISSN0898-929X
KeywordsAction Potentials, Animals, Computer Simulation, Memory, Short-Term, Neural Networks (Computer), Neural Pathways, Neurons, Prefrontal Cortex, Space Perception
Abstract

Many studies suggest that the sustained activation underlying working memory (WM) maintenance is mediated by a distributed network that includes the prefrontal cortex and other structures (e.g., posterior parietal cortex, thalamus, globus pallidus, and the caudate nucleus). A computational model of WM, called FROST (short for FROntal-Striatal-Thalamic), is proposed in which the representation of items and spatial positions is encoded in the lateral prefrontal cortex. During delay intervals, activation in these prefrontal cells is sustained via parallel, prefrontal cortical-thalamic loops. Activation reverberates in these loops because prefrontal cortical excitation of the head of the caudate nucleus leads to disinhibition of the thalamus (via the globus pallidus). FROST successfully accounts for a wide variety of WM data, including single-cell recording data and human behavioral data.

DOI10.1162/089892905774589271
Alternate JournalJ Cogn Neurosci
PubMed ID16269109
Grant ListMH3760 / MH / NIMH NIH HHS / United States