Zachary T. Irwin, Ph.D.

Affiliations: 
Biomedical Engineering University of Michigan, Ann Arbor, Ann Arbor, MI 
Area:
Brain machine interface
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Publications

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Vaskov AK, Irwin ZT, Nason SR, et al. (2018) Cortical Decoding of Individual Finger Group Motions Using ReFIT Kalman Filter. Frontiers in Neuroscience. 12: 751
Vu PP, Irwin ZT, Bullard AJ, et al. (2018) Closed-Loop Continuous Hand Control via Chronic Recording of Regenerative Peripheral Nerve Interfaces. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 26: 515-526
Irwin ZT, Schroeder KE, Vu PP, et al. (2017) Neural control of finger movement via intracortical brain-machine interface. Journal of Neural Engineering
Schroeder KE, Irwin Z, Bullard A, et al. (2017) Robust tactile sensory responses in finger area of primate motor cortex relevant to prosthetic control. Journal of Neural Engineering
Irwin ZT, Schroeder KE, Vu PP, et al. (2016) Chronic recording of hand prosthesis control signals via a regenerative peripheral nerve interface in a rhesus macaque. Journal of Neural Engineering. 13: 046007
Schroeder KE, Irwin ZT, Gaidica M, et al. (2016) Disruption of Corticocortical information transfer during ketamine anesthesia in the primate brain. Neuroimage
Malaga KA, Schroeder KE, Patel PR, et al. (2015) Data-driven model comparing the effects of glial scarring and interface interactions on chronic neural recordings in non-human primates. Journal of Neural Engineering. 13: 016010
Irwin Z, Thompson D, Schroeder K, et al. (2015) Enabling Low-power, Multi-modal Neural Interfaces through a Common, Low-bandwidth Feature Space. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Christie BP, Tat DM, Irwin ZT, et al. (2015) Comparison of spike sorting and thresholding of voltage waveforms for intracortical brain-machine interface performance. Journal of Neural Engineering. 12: 016009
Gliske SV, Irwin ZT, Davis KA, et al. (2015) Universal automated high frequency oscillation detector for real-time, long term EEG Clinical Neurophysiology
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