A recurrent neural network for closed-loop intracortical brain–machine interface decoders

Recurrent neural networks (RNNs) are useful tools for learning nonlinear relationships in time series data with complex temporal dependences. In this paper, we explore the ability of a simplified type of RNN, one with limited modifications to the internal weights called an echostate network (ESN), t...

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Bibliographic Details
Main Authors: Sussillo, David, Nuyujukian, Paul, Fan, Joline M, Kao, Jonathan C, Stavisky, Sergey D, Ryu, Stephen, Shenoy, Krishna
Format: Artigo
Language:Inglês
Published: 2012
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC3638090/
https://ncbi.nlm.nih.gov/pubmed/22427488
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1741-2560/9/2/026027
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