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Context-dependent computation by recurrent dynamics in prefrontal cortex

Open access
Mante, Valerio, Sussillo, David, Shenoy, Krishna V., Newsome, William T.·2013·Nature

Abstract

Prefrontal cortex is thought to have a fundamental role in flexible, context-dependent behaviour, but the exact nature of the computations underlying this role remains largely unknown. In particular, individual prefrontal neurons often generate remarkably complex responses that defy deep understanding of their contribution to behaviour. Here we study prefrontal cortex activity in macaque 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 indicates 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.

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Metadata

Authors
Mante, V., Sussillo, D., Shenoy, K. V., & Newsome, W. T.
Venue
Nature
Published
2013-11
Volume
503
Issue
7474
Pages
78-84
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2047125104
Cited by
1,847
References
14
FWCI
36.19
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Context-dependent computation by recurrent dynamics in prefrontal cortex. https://app.cochat.ai/papers/10.1038/nature12742
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Mante, V., Sussillo, D., Shenoy, K. V., & Newsome, W. T. (2013). Context-dependent computation by recurrent dynamics in prefrontal cortex. Nature. https://doi.org/10.1038/nature12742

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