Neural representation of time in cortico-basal ganglia circuits
Neural representation of time in cortico-basal ganglia circuits
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DOI：
10.1073/pnas.0909881106
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发表时间：
2009-11-10
影响因子：
11.1
通讯作者：
Graybiel, Ann M.
中科院分区：
文献类型：
--
作者：
Jin, Dezhe Z.;Fujii, Naotaka;Graybiel, Ann M.
编码时间是普遍需要的学习和结构运动和认知行为，但大脑如何跟踪时间仍然不清楚。我们通过记录执行常规视觉任务的猕猴的前额叶皮层和纹状体中的数千个神经元来寻找皮质基底神经节回路中的时间表征。我们发现，一个神经元子集表现出的时间戳编码与基于任务的学习模型所需的时间戳编码惊人地相似：它们响应于单个任务事件后分布在不同时间延迟的尖峰活动峰值。此外，人口活动的时间演变允许强大的解码任务时间的感知器模型。我们认为，时间信息可以出现作为副产品的事件编码在皮质基底神经节电路，可以作为一个关键的基础设施，行为学习和性能。
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.