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

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 plast...

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Principais autores: 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
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Portfolio 2022-06-01
coleção:Nature Communications
Acesso em linha:https://doi.org/10.1038/s41467-022-30214-w
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