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...
Main Authors: | , , , , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-06-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-30214-w |