Linking task structure and neural network dynamics.

Journal: Nature neuroscience
Published Date:

Abstract

The solutions neural networks find to solve a task are often inscrutable. We have had little insight into why particular structure emerges in a network. By reverse-engineering neural networks from dynamical principles, Dubreuil & Valente et. al. reveal how neural population structure enables computational flexibility.

Authors

  • Christian David Márton
    Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Siyan Zhou
    Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Kanaka Rajan
    Joseph Henry Laboratories of Physics and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, United States of America.