Ontology highlight
ABSTRACT:
SUBMITTER: Sussillo D
PROVIDER: S-EPMC3638090 | biostudies-literature | 2012 Apr
REPOSITORIES: biostudies-literature
Sussillo David D Nuyujukian Paul P Fan Joline M JM Kao Jonathan C JC Stavisky Sergey D SD Ryu Stephen S Shenoy Krishna K
Journal of neural engineering 20120319 2
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 using a cortical brain-machine interface (BMI) in a closed loop. We demonstrate that the RNN, an ESN implem ...[more]