Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks

Uri Hasson, Samuel A. Nastase, Ariel Goldstein

Research output: Contribution to journalReview article

6 Scopus citations

Abstract

To guide adaptive behavior and support predictions in real-life contexts, the brain may rely on opaque, over-parameterized models capable of directly fitting to the multidimensional world, while being blind—like evolution—to the underlying rules and causes.

Original languageEnglish (US)
Pages (from-to)416-434
Number of pages19
JournalNeuron
Volume105
Issue number3
DOIs
StatePublished - Feb 5 2020

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

Keywords

  • evolution
  • experimental design
  • interpolation
  • learning
  • neural networks

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