Neural Representation of Time in Cortico-basal Ganglia Circuits

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 st...

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Bibliographic Details
Main Authors: Jin, Dezhe Z. (Author), Fujii, Naotaka (Author), Graybiel, Ann M. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), McGovern Institute for Brain Research at MIT (Contributor)
Format: Article
Language:English
Published: National Academy of Sciences (U.S.), 2010-09-03T14:51:15Z.
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Online Access:Get fulltext
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100 1 0 |a Jin, Dezhe Z.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences  |e contributor 
100 1 0 |a McGovern Institute for Brain Research at MIT  |e contributor 
100 1 0 |a Graybiel, Ann M.  |e contributor 
100 1 0 |a Graybiel, Ann M.  |e contributor 
700 1 0 |a Fujii, Naotaka  |e author 
700 1 0 |a Graybiel, Ann M.  |e author 
245 0 0 |a Neural Representation of Time in Cortico-basal Ganglia Circuits 
260 |b National Academy of Sciences (U.S.),   |c 2010-09-03T14:51:15Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/58305 
520 |a 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. 
520 |a National Eye Institute (Grant EY12848) 
520 |a United States. Office of Naval Research (Grant N000140410208) 
546 |a en_US 
690 |a Population encoding 
690 |a TD learning 
690 |a Time-stamped representation 
655 7 |a Article 
773 |t Proceedings of the National Academy of Sciences of the United States of America