4.5 Article

Towards the neural population doctrine

Journal

CURRENT OPINION IN NEUROBIOLOGY
Volume 55, Issue -, Pages 103-111

Publisher

CURRENT BIOLOGY LTD
DOI: 10.1016/j.conb.2019.02.002

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Funding

  1. Swiss National Science Foundation [P2SKP2_178197]
  2. Simons Foundation [542963]
  3. NSF NeuroNex [DBI-1707398]
  4. Gatsby Charitable Foundation
  5. Sloan Foundation
  6. McKnight Foundation
  7. NIH [R01NS100066]
  8. Swiss National Science Foundation (SNF) [P2SKP2_178197] Funding Source: Swiss National Science Foundation (SNF)

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Across neuroscience, large-scale data recording and population-level analysis methods have experienced explosive growth. While the underlying hardware and computational techniques have been well reviewed, we focus here on the novel science that these technologies have enabled. We detail four areas of the field where the joint analysis of neural populations has significantly furthered our understanding of computation in the brain: correlated variability, decoding, neural dynamics, and artificial neural networks. Together, these findings suggest an exciting trend towards a new era where neural populations are understood to be the essential unit of computation in many brain regions, a classic idea that has been given new life.

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