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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| Format: | Article |
| Language: | en_US |
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National Academy of Sciences (U.S.)
2010
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| Online Access: | http://hdl.handle.net/1721.1/58305 https://orcid.org/0000-0002-4326-7720 |
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| author | Jin, Dezhe Z. Fujii, Naotaka Graybiel, Ann M. |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Jin, Dezhe Z. Fujii, Naotaka Graybiel, Ann M. |
| author_sort | Jin, Dezhe Z. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T16:15:08Z |
| format | Article |
| id | mit-1721.1/58305 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:15:08Z |
| publishDate | 2010 |
| publisher | National Academy of Sciences (U.S.) |
| record_format | dspace |
| spelling | mit-1721.1/583052022-10-02T07:15:58Z Neural Representation of Time in Cortico-basal Ganglia Circuits Jin, Dezhe Z. Fujii, Naotaka Graybiel, Ann M. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McGovern Institute for Brain Research at MIT Graybiel, Ann M. Graybiel, Ann M. Population encoding TD learning Time-stamped representation 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. National Eye Institute (Grant EY12848) United States. Office of Naval Research (Grant N000140410208) 2010-09-03T14:51:15Z 2010-09-03T14:51:15Z 2009-10 2009-07 Article http://purl.org/eprint/type/JournalArticle 0027-8424 http://hdl.handle.net/1721.1/58305 Jin, Dezhe Z., Naotaka Fujii, and Ann M. Graybiel. "Neural representation of time in cortico-basal ganglia circuits." Proceedings of the National Academy of Sciences 106 (November 2009): 19156-19161. 19850874 https://orcid.org/0000-0002-4326-7720 en_US http://dx.doi.org/10.1073/pnas.0909881106 Proceedings of the National Academy of Sciences of the United States of America Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf National Academy of Sciences (U.S.) PNAS |
| spellingShingle | Population encoding TD learning Time-stamped representation Jin, Dezhe Z. Fujii, Naotaka Graybiel, Ann M. Neural Representation of Time in Cortico-basal Ganglia Circuits |
| title | Neural Representation of Time in Cortico-basal Ganglia Circuits |
| title_full | Neural Representation of Time in Cortico-basal Ganglia Circuits |
| title_fullStr | Neural Representation of Time in Cortico-basal Ganglia Circuits |
| title_full_unstemmed | Neural Representation of Time in Cortico-basal Ganglia Circuits |
| title_short | Neural Representation of Time in Cortico-basal Ganglia Circuits |
| title_sort | neural representation of time in cortico basal ganglia circuits |
| topic | Population encoding TD learning Time-stamped representation |
| url | http://hdl.handle.net/1721.1/58305 https://orcid.org/0000-0002-4326-7720 |
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