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A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm.

, , , , , , and . NIPS, page 2213-2221. (2011)

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A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm., , , , , , and . NIPS, page 2213-2221. (2011)Model-based neural decoding of reaching movements: a maximum likelihood approach., , and . IEEE Trans. Biomed. Engineering, 51 (6): 925-932 (2004)High-dimensional neural spike train analysis with generalized count linear dynamical systems., , , and . NIPS, page 2044-2052. (2015)A Nonhuman Primate Brain-Computer Typing Interface., , , and . Proceedings of the IEEE, 105 (1): 66-72 (2017)Feasibility analysis of genetically-encoded calcium indicators as a neural signal source for all-optical brain-machine interfaces., , , , and . NER, page 174-180. IEEE, (2017)Leveraging historical knowledge of neural dynamics to rescue decoder performance as neural channels are lost: "Decoder hysteresis"., , and . EMBC, page 1061-1066. IEEE, (2015)Extracting Dynamical Structure Embedded in Neural Activity., , , , , and . NIPS, page 1545-1552. (2005)Dynamical segmentation of single trials from population neural data., , , , , , and . NIPS, page 756-764. (2011)Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes., , , and . NIPS, page 329-336. Curran Associates, Inc., (2007)A brain machine interface control algorithm designed from a feedback control perspective., , , , , , , and . EMBC, page 1318-1322. IEEE, (2012)