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University of Pennsylvania

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Nat. Neurosci., Published: 15 June 2020 | https://doi.org/10.1038/s41593-020-0653-3 Dynamic representations in networked neural systems

Harang Ju¹ and Danielle S. Bassett^{2,3,4,5,6,7,*}

¹Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA, USA. ²Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA. ³Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA. ⁴Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA. ⁵Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA. ⁶Department of Physics & Astronomy, University of Pennsylvania, Philadelphia, PA, USA. ⁷Santa Fe Institute, Santa Fe, NM, USA.

^*Corresponding author

Abstract

A group of neurons can generate patterns of activity that represent information about stimuli; subsequently, the group can transform and transmit activity patterns across synapses to spatially distributed areas. Recent studies in neuroscience have begun to independently address the two components of information processing: the representation of stimuli in neural activity and the transmission of information in networks that model neural interactions. Yet only recently are studies seeking to link these two types of approaches. Here we briefly review the two separate bodies of literature; we then review the recent strides made to address this gap. We continue with a discussion of how patterns of activity evolve from one representation to another, forming dynamic representations that unfold on the underlying network. Our goal is to offer a holistic framework for understanding and describing neural information representation and transmission while revealing exciting frontiers for future research.

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형식Review Paper
게재일2020년 06월 (BRIC 등록일 2020-06-19)
연구진국외 연구진
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