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Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis.

, , , , , , and . IBM J. Res. Dev., 61 (2/3): 6:1-6:14 (2017)

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An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS)., , , , , , and . MLSP, page 1-6. IEEE, (2011)Reinforcement Learning of Two-Joint Virtual Arm Reaching in a Computer Model of Sensorimotor Cortex., , , , and . Neural Comput., 25 (12): 3263-3293 (2013)Real-Time Seizure State Tracking Using Two Channels: A Mixed-Filter Approach., , , , , and . ACSSC, page 2033-2039. IEEE, (2019)Information-theoretic metric learning: 2-D linear projections of neural data for visualization., , , , , , and . EMBC, page 5586-5589. IEEE, (2013)Primate Motor Cortical Activity Displays Hallmarks of a Temporal Difference Reinforcement Learning Process., , , , , and . NER, page 1-5. IEEE, (2023)Reward value is encoded in primary somatosensory cortex and can be decoded from neural activity during performance of a psychophysical task., , , and . EMBC, page 3064-3067. IEEE, (2016)Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex., , , , , and . EMBC, page 2957-2960. IEEE, (2012)Electronically induced contrast enhancement in whisker S1 cortical response fields., and . EMBC, page 2601-2604. IEEE, (2014)A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control., , , , , and . Comput. Intell. Neurosci., (2014)Correntropy kernel temporal differences for reinforcement learning brain machine interfaces., , , and . IJCNN, page 2713-2717. IEEE, (2014)