Kristofer E. Bouchard, PhD

Affiliations: 
University of California, San Francisco, San Francisco, CA 
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"Kristofer Bouchard"
Mean distance: 13.87 (cluster 17)
 
SNBCP

Parents

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Michael S. Brainard grad student 2010 UCSF
 (Form and formation of probabilistic sensory-motor circuits.)
Edward Chang post-doc 2011-

Children

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Sugeerth Murugesan grad student (Computer Science Tree)
Brett R Nelson grad student 2018- Lawrence Berkeley National Lab, UC Berkeley

Collaborators

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Sugeerth Murugesan collaborator (Computer Science Tree)
BETA: Related publications

Publications

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Livezey JA, Bouchard KE, Chang EF. (2019) Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex. Plos Computational Biology. 15: e1007091
Holdgraf C, Appelhoff S, Bickel S, et al. (2019) iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology. Scientific Data. 6: 102
Holdgraf C, Appelhoff S, Bickel S, et al. (2019) iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology. Scientific Data. 6: 102
Conant DF, Bouchard KE, Leonard MK, et al. (2018) Human sensorimotor cortex control of directly-measured vocal tract movements during vowel production. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Bouchard KE, Bujan AF, Chang EF, et al. (2017) Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortex. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2017: 3636-3639
Troyer TW, Brainard MS, Bouchard KE. (2017) Timing during transitions in Bengalese finch song: implications for motor sequencing. Journal of Neurophysiology. jn.00296.2017
Murugesan S, Bouchard K, Chang E, et al. (2017) Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions. Bmc Bioinformatics. 18: 236
Murugesan S, Bouchard K, Chang E, et al. (2017) Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions. Bmc Bioinformatics. 18: 236
Rübel O, Dougherty M, Prabhat, et al. (2016) Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience. Frontiers in Neuroinformatics. 10: 48
Bouchard KE, Aimone JB, Chun M, et al. (2016) High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination. Neuron. 92: 628-631
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