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Lakshminarayan Srinivasan

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Variable-arrival-time reaching with the brain-machine interface: performance comparison on empirically-derived movementsLakshminarayan Srinivasan
Neural Computation|November 15, 2012
Stochastic optimal control as a theory of brain-machine interface operationManuel Lagang, Lakshminarayan Srinivasan
IEEE Transactions on Bio-Medical Engineering|March 16, 2007
A state-space framework for movement control to dynamic goals through brain-driven interfacesLakshminarayan Srinivasan, Emery N Brown
IEEE Transactions on Bio-Medical Engineering|December 30, 2010
Breaking the fixed-arrival-time restriction in reaching movements of neural prosthetic devicesLakshminarayan Srinivasan, Marco da Silva
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Acquisition of action potentials with ultra-low sampling ratesLakshminarayan Srinivasan, Lav R Varshney, Julius Kusuma
Neural Computation|June 20, 2013
Dynamic analysis of naive adaptive brain-machine interfacesKevin C Kowalski, Bryan D He, Lakshminarayan Srinivasan
Journal of Neural Engineering|January 7, 2016
Signal quality of endovascular electroencephalographyBryan D He, Mosalam Ebrahimi, Leon Palafox, et al.
Neural Computation|August 16, 2006
A state-space analysis for reconstruction of goal-directed movements using neural signalsLakshminarayan Srinivasan, Uri T Eden, Alan S Willsky, et al.
Journal of Neurophysiology|May 25, 2007
General-purpose filter design for neural prosthetic devicesLakshminarayan Srinivasan, Uri T Eden, Sanjoy K Mitter, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|June 22, 2014
Smoothness as a failure mode of Bayesian mixture models in brain-machine interfacesSiamak Yousefi, Alex Wein, Kevin C Kowalski, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Variable-arrival-time reaching with the brain-machine interface: performance comparison on empirically-derived movementsLakshminarayan Srinivasan
Neural Computation|November 15, 2012
Stochastic optimal control as a theory of brain-machine interface operationManuel Lagang, Lakshminarayan Srinivasan
IEEE Transactions on Bio-Medical Engineering|March 16, 2007
A state-space framework for movement control to dynamic goals through brain-driven interfacesLakshminarayan Srinivasan, Emery N Brown
IEEE Transactions on Bio-Medical Engineering|December 30, 2010
Breaking the fixed-arrival-time restriction in reaching movements of neural prosthetic devicesLakshminarayan Srinivasan, Marco da Silva
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Acquisition of action potentials with ultra-low sampling ratesLakshminarayan Srinivasan, Lav R Varshney, Julius Kusuma
Neural Computation|June 20, 2013
Dynamic analysis of naive adaptive brain-machine interfacesKevin C Kowalski, Bryan D He, Lakshminarayan Srinivasan
Journal of Neural Engineering|January 7, 2016
Signal quality of endovascular electroencephalographyBryan D He, Mosalam Ebrahimi, Leon Palafox, et al.
Neural Computation|August 16, 2006
A state-space analysis for reconstruction of goal-directed movements using neural signalsLakshminarayan Srinivasan, Uri T Eden, Alan S Willsky, et al.
Journal of Neurophysiology|May 25, 2007
General-purpose filter design for neural prosthetic devicesLakshminarayan Srinivasan, Uri T Eden, Sanjoy K Mitter, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|June 22, 2014
Smoothness as a failure mode of Bayesian mixture models in brain-machine interfacesSiamak Yousefi, Alex Wein, Kevin C Kowalski, et al.
Pageof 2