Flexible timing by temporal scaling of cortical responses

Recurrent neural network model dynamics (see Fig. 5 in full publication for descriptive text)

 

Authors: Jing Wang, Devika Narain, Eghbal A. Hosseini, Mehrdad Jazayeri

Publication: Nature Neuroscience

Date: December 4, 2017

DOI: 10.1038/s41593-017-0028-6

Abstract

Musicians can perform at different tempos, speakers can control the cadence of their speech, and children can flexibly vary their temporal expectations of events. To understand the neural basis of such flexibility, we recorded from the medial frontal cortex of nonhuman primates trained to produce different time intervals with different effectors. Neural responses were heterogeneous, nonlinear, and complex, and they exhibited a remarkable form of temporal invariance: firing rate profiles were temporally scaled to match the produced intervals. Recording from downstream neurons in the caudate and from thalamic neurons projecting to the medial frontal cortex indicated that this phenomenon originates within cortical networks. Recurrent neural network models trained to perform the task revealed that temporal scaling emerges from nonlinearities in the network and that the degree of scaling is controlled by the strength of external input. These findings demonstrate a simple and general mechanism for conferring temporal flexibility upon sensorimotor and cognitive functions.

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Monday, December 4, 2017