Nature Communications (Jun 2022)

A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex

  • Giuseppe Chindemi,
  • Marwan Abdellah,
  • Oren Amsalem,
  • Ruth Benavides-Piccione,
  • Vincent Delattre,
  • Michael Doron,
  • András Ecker,
  • Aurélien T. Jaquier,
  • James King,
  • Pramod Kumbhar,
  • Caitlin Monney,
  • Rodrigo Perin,
  • Christian Rössert,
  • Anil M. Tuncel,
  • Werner Van Geit,
  • Javier DeFelipe,
  • Michael Graupner,
  • Idan Segev,
  • Henry Markram,
  • Eilif B. Muller

DOI
https://doi.org/10.1038/s41467-022-30214-w
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 19

Abstract

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The study of learning algorithms in the neocortex requires comprehensive knowledge of synaptic plasticity between its diverse cell types, which is currently lacking. Chindemi et al. describe a modeling approach to fill these gaps in experimental literature, and predict the features of synaptic plasticity in vivo.