End-to-end neural system identification with neural information flow.

End-to-end neural system identification with neural information flow.

Neural information flow (NIF) provides a novel approach for system identification in neuroscience. It models the neural computations in multiple brain regions and can be trained end-to-end via stochastic gradient descent from noninvasive data. NIF models represent neural information processing via a...

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Bibliographic Details
Main Authors:	K Seeliger, L Ambrogioni, Y Güçlütürk, L M van den Bulk, U Güçlü, M A J van Gerven
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2021-02-01
Series:	PLoS Computational Biology
Online Access:	https://doi.org/10.1371/journal.pcbi.1008558

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