Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI

Title
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI
Authors
Keywords
Dynamical systems, Functional magnetic resonance imaging, Nonlinear dynamics, Algorithms, Nonlinear systems, Covariance, Cognition, System instability
Journal
PLoS Computational Biology
Volume 15, Issue 8, Pages e1007263
Publisher
Public Library of Science (PLoS)
Online
2019-08-22
DOI
10.1371/journal.pcbi.1007263

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started