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Eric A Pohlmeyer

Showing results (1-10 of 21) with videos related to

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Advances in Experimental Medicine and Biology|February 21, 2009
Control of muscle synergies by cortical ensemblesMichelle M Morrow, Eric A Pohlmeyer, Lee E Miller
Journal of Neuroscience Methods|June 16, 2009
A fully implanted drug delivery system for peripheral nerve blocks in behaving animalsEric A Pohlmeyer, Luke R Jordon, Peter Kim, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Brain-Machine Interface control of a robot arm using actor-critic rainforcement learningEric A Pohlmeyer, Babak Mahmoudi, Shijia Geng, et al.
Journal of Neural Engineering|December 7, 2007
Prediction of upper limb muscle activity from motor cortical discharge during reachingEric A Pohlmeyer, Sara A Solla, Eric J Perreault, et al.
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
Combining computer and human vision into a BCI: can the whole be greater than the sum of its parts?Eric A Pohlmeyer, David C Jangraw, Jun Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Feature extraction and unsupervised classification of neural population reward signals for reinforcement based BMINoeline W Prins, Shijia Geng, Eric A Pohlmeyer, et al.
Journal of Neural Engineering|October 9, 2013
Towards autonomous neuroprosthetic control using Hebbian reinforcement learningBabak Mahmoudi, Eric A Pohlmeyer, Noeline W Prins, et al.
Plos One|February 6, 2014
Using reinforcement learning to provide stable brain-machine interface control despite neural input reorganizationEric A Pohlmeyer, Babak Mahmoudi, Shijia Geng, et al.
Journal of Neural Engineering|May 13, 2011
Closing the loop in cortically-coupled computer vision: a brain-computer interface for searching image databasesEric A Pohlmeyer, Jun Wang, David C Jangraw, et al.
Neural Computation|December 28, 2005
Identification of multiple-input systems with highly coupled inputs: application to EMG prediction from multiple intracortical electrodesDavid T Westwick, Eric A Pohlmeyer, Sara A Solla, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Advances in Experimental Medicine and Biology|February 21, 2009
Control of muscle synergies by cortical ensemblesMichelle M Morrow, Eric A Pohlmeyer, Lee E Miller
Journal of Neuroscience Methods|June 16, 2009
A fully implanted drug delivery system for peripheral nerve blocks in behaving animalsEric A Pohlmeyer, Luke R Jordon, Peter Kim, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Brain-Machine Interface control of a robot arm using actor-critic rainforcement learningEric A Pohlmeyer, Babak Mahmoudi, Shijia Geng, et al.
Journal of Neural Engineering|December 7, 2007
Prediction of upper limb muscle activity from motor cortical discharge during reachingEric A Pohlmeyer, Sara A Solla, Eric J Perreault, et al.
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
Combining computer and human vision into a BCI: can the whole be greater than the sum of its parts?Eric A Pohlmeyer, David C Jangraw, Jun Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Feature extraction and unsupervised classification of neural population reward signals for reinforcement based BMINoeline W Prins, Shijia Geng, Eric A Pohlmeyer, et al.
Journal of Neural Engineering|October 9, 2013
Towards autonomous neuroprosthetic control using Hebbian reinforcement learningBabak Mahmoudi, Eric A Pohlmeyer, Noeline W Prins, et al.
Plos One|February 6, 2014
Using reinforcement learning to provide stable brain-machine interface control despite neural input reorganizationEric A Pohlmeyer, Babak Mahmoudi, Shijia Geng, et al.
Journal of Neural Engineering|May 13, 2011
Closing the loop in cortically-coupled computer vision: a brain-computer interface for searching image databasesEric A Pohlmeyer, Jun Wang, David C Jangraw, et al.
Neural Computation|December 28, 2005
Identification of multiple-input systems with highly coupled inputs: application to EMG prediction from multiple intracortical electrodesDavid T Westwick, Eric A Pohlmeyer, Sara A Solla, et al.
Pageof 3