Context-dependent computation by recurrent dynamics in prefrontal cortex
Prefrontal cortex is thought to play a fundamental role in flexible, context-dependent behavior, but the exact nature of the computations underlying this role remains largely mysterious. In particular, individual prefrontal neurons often generate remarkably complex responses that defy deep understan...
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2013
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4121670/ |
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pubmed-41216702014-08-05 Context-dependent computation by recurrent dynamics in prefrontal cortex Mante, Valerio Sussillo, David Shenoy, Krishna V. Newsome, William T. Article Prefrontal cortex is thought to play a fundamental role in flexible, context-dependent behavior, but the exact nature of the computations underlying this role remains largely mysterious. In particular, individual prefrontal neurons often generate remarkably complex responses that defy deep understanding of their contribution to behavior. Here we study prefrontal cortex in monkeys trained to flexibly select and integrate noisy sensory inputs towards a choice. We find that the observed complexity and functional roles of single neurons are readily understood in the framework of a dynamical process unfolding at the level of the population. The population dynamics can be reproduced by a trained recurrent neural network, which suggests a previously unknown mechanism for selection and integration of task-relevant inputs. This mechanism implies that selection and integration are two aspects of a single dynamical process unfolding within the same prefrontal circuits, and potentially provides a novel, general framework for understanding context-dependent computations. 2013-11-07 /pmc/articles/PMC4121670/ /pubmed/24201281 http://dx.doi.org/10.1038/nature12742 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Mante, Valerio Sussillo, David Shenoy, Krishna V. Newsome, William T. |
| spellingShingle |
Mante, Valerio Sussillo, David Shenoy, Krishna V. Newsome, William T. Context-dependent computation by recurrent dynamics in prefrontal cortex |
| author_facet |
Mante, Valerio Sussillo, David Shenoy, Krishna V. Newsome, William T. |
| author_sort |
Mante, Valerio |
| title |
Context-dependent computation by recurrent dynamics in prefrontal cortex |
| title_short |
Context-dependent computation by recurrent dynamics in prefrontal cortex |
| title_full |
Context-dependent computation by recurrent dynamics in prefrontal cortex |
| title_fullStr |
Context-dependent computation by recurrent dynamics in prefrontal cortex |
| title_full_unstemmed |
Context-dependent computation by recurrent dynamics in prefrontal cortex |
| title_sort |
context-dependent computation by recurrent dynamics in prefrontal cortex |
| description |
Prefrontal cortex is thought to play a fundamental role in flexible, context-dependent behavior, but the exact nature of the computations underlying this role remains largely mysterious. In particular, individual prefrontal neurons often generate remarkably complex responses that defy deep understanding of their contribution to behavior. Here we study prefrontal cortex in monkeys trained to flexibly select and integrate noisy sensory inputs towards a choice. We find that the observed complexity and functional roles of single neurons are readily understood in the framework of a dynamical process unfolding at the level of the population. The population dynamics can be reproduced by a trained recurrent neural network, which suggests a previously unknown mechanism for selection and integration of task-relevant inputs. This mechanism implies that selection and integration are two aspects of a single dynamical process unfolding within the same prefrontal circuits, and potentially provides a novel, general framework for understanding context-dependent computations. |
| publishDate |
2013 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4121670/ |
| _version_ |
1613120883951403008 |