BCI decoder performance comparison of an LSTM recurrent neural network and a Kalman filter in retrospective simulation

Exploring foci of: doi.org BCI decoder performance comparison of an LSTM recurrent neural network and a Kalman filter in retrospective simulation March 2019 • Tommy Hosman, Marco Vilela, Daniel Milstein, Jessica N. Kelemen, David M. Brandman, Leigh R. Hochberg, John D. Simeral Intracortical brain computer interfaces (iBCIs) using linear Kalman decoders have enabled individuals with paralysis to control a computer cursor for continuous point-and-click typing on a virtual keyboard, browsing the internet, and using familiar tablet apps. However, further advances are needed to deliver iBCI-enabled cursor control approaching able-bodied performance. Motivated by recent evidence that nonlinear recurrent neural networks (RNNs) can provide higher performance iBCI cursor control in nonhuman prim… Open Article Page

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