Work

Neural representation of time in cortico-basal ganglia circuits

Year: 2009

Type: article

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.

Source: Proceedings of the National Academy of Sciences

DOI: 10.1073/pnas.0909881106

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

Institutions: Pennsylvania State University, RIKEN Center for Brain Science, RIKEN, McGovern Institute for Brain Research, Massachusetts Institute of Technology

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funder: National Eye Institute

Award: Dynamic Basal Ganglia Saccade Networks