A recurrent neural network for closed-loop intracortical brain–machine interface decoders
نویسندگان
چکیده
منابع مشابه
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), to effectively and continuously decode monkey reaches during a standard center-out reach task usin...
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ژورنال
عنوان ژورنال: Journal of Neural Engineering
سال: 2012
ISSN: 1741-2560,1741-2552
DOI: 10.1088/1741-2560/9/2/026027