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Matthew S Emigh

Showing results (1-10 of 4) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|May 18, 2018
Guided Policy Exploration for Markov Decision Processes Using an Uncertainty-Based Value-of-Information CriterionIsaac J Sledge, Matthew S Emigh, Jose C Principe
IEEE Transactions on Neural Networks and Learning Systems|September 8, 2017
Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All NetworksEder Santana, Matthew S Emigh, Pablo Zegers, 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
Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortexAustin J Brockmeier, John S Choi, Matthew S Emigh, 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
Information-theoretic metric learning: 2-D linear projections of neural data for visualizationAustin J Brockmeier, Luis G Sanchez Giraldo, Matthew S Emigh, et al.
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Showing results (1-10 of 4) with videos related to

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Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|May 18, 2018
Guided Policy Exploration for Markov Decision Processes Using an Uncertainty-Based Value-of-Information CriterionIsaac J Sledge, Matthew S Emigh, Jose C Principe
IEEE Transactions on Neural Networks and Learning Systems|September 8, 2017
Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All NetworksEder Santana, Matthew S Emigh, Pablo Zegers, 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
Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortexAustin J Brockmeier, John S Choi, Matthew S Emigh, 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
Information-theoretic metric learning: 2-D linear projections of neural data for visualizationAustin J Brockmeier, Luis G Sanchez Giraldo, Matthew S Emigh, et al.
Pageof 1