CRCNS: Neural Representations of Time Across Scales in Natural and Artificial Networks

Boston University (Charles River Campus), Boston MA

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Abstract

PROJECT SUMMARY (See instructions): This proposal works towards a deeper understanding of how the brain represents information across many time scales using a combination of neurophysiological and computational approaches. State-of-the-art recordings from non-human primates will track the flow of information across neurons and across time scales in multiple brain regions. Computational data analyses will compare these results from predictions of a theory for how the brain represents information across time scales. Computational work will study the properties of artificial neural networks inspired by the theory and with properties of the observed neurophysiological data.