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

Autor: 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
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Nature Communications, Vol 13, Iss 1, Pp 1-19 (2022)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-022-30214-w
Popis: 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.
Databáze: Directory of Open Access Journals
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