Neural representation of time in cortico-basal ganglia circuits

Dezhe Z. Jin, Naotaka Fujii, Ann M. Graybiel

Research output: Contribution to journalArticle

127 Citations (Scopus)

Abstract

Encoding time is universally required for learning and structuring motor and cognitive actions, but how the brain keeps track of time is still not understood. We searched for time representations in cortico-basal ganglia circuits by recording from thousands of neurons in the prefrontal cortex and striatum of macaque monkeys performing a routine visuomotor task. We found that a subset of neurons exhibited time-stamp encoding strikingly similar to that required by models of reinforcement-based learning: They responded with spike activity peaks that were distributed at different time delays after single task events. Moreover, the temporal evolution of the population activity allowed robust decoding of task time by perceptron models. We suggest that time information can emerge as a byproduct of event coding in cortico-basal ganglia circuits and can serve as a critical infrastructure for behavioral learning and performance.

Original languageEnglish (US)
Pages (from-to)19156-19161
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume106
Issue number45
DOIs
StatePublished - Nov 10 2009

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Basal Ganglia
Learning
Neurons
Neural Networks (Computer)
Macaca
Prefrontal Cortex
Haplorhini
Brain
Population

All Science Journal Classification (ASJC) codes

  • General

Cite this

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Neural representation of time in cortico-basal ganglia circuits. / Jin, Dezhe Z.; Fujii, Naotaka; Graybiel, Ann M.

In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 106, No. 45, 10.11.2009, p. 19156-19161.

Research output: Contribution to journalArticle

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