Time in Cortical Circuits

Time is central to cognition. However, the neural basis for time-dependent cognition remains poorly understood. We explore how the temporal features of neural activity in cortical circuits and their capacity for plasticity can contribute to time-dependent cognition over short time scales. This neura...

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Bibliographic Details
Main Authors: Finnerty, Gerald T. (Author), Shadlen, Michael N. (Author), Jazayeri, Mehrdad (Contributor), Nobre, Anna C. (Author), Buonomano, Dean V. (Author)
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: Society for Neuroscience, 2016-04-19T17:40:31Z.
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Online Access:Get fulltext
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100 1 0 |a Finnerty, Gerald T.  |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 Jazayeri, Mehrdad  |e contributor 
700 1 0 |a Shadlen, Michael N.  |e author 
700 1 0 |a Jazayeri, Mehrdad  |e author 
700 1 0 |a Nobre, Anna C.  |e author 
700 1 0 |a Buonomano, Dean V.  |e author 
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520 |a Time is central to cognition. However, the neural basis for time-dependent cognition remains poorly understood. We explore how the temporal features of neural activity in cortical circuits and their capacity for plasticity can contribute to time-dependent cognition over short time scales. This neural activity is linked to cognition that operates in the present or anticipates events or stimuli in the near future. We focus on deliberation and planning in the context of decision making as a cognitive process that integrates information across time. We progress to consider how temporal expectations of the future modulate perception. We propose that understanding the neural basis for how the brain tells time and operates in time will be necessary to develop general models of cognition. 
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655 7 |a Article 
773 |t Journal of Neuroscience