☰ Neurotree

Byron M. Yu, Ph.D.

Affiliations:

Carnegie Mellon University, Pittsburgh, PA

Area:

Neural population activity, statistical analysis of neural data, brain-computer interfaces

Google:

Mean distance: 14.03 (cluster 17)

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Cross-listing: MathTree

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Parents

Krishna V. Shenoy	grad student	2001-2007	Stanford
(Neural dynamics of motor preparation and execution.)
Maneesh Sahani	post-doc		Gatsby Comp. Neurosci. Unit, UCL
Krishna V. Shenoy	post-doc	2007-2009	Stanford

Children

Yuanning Li	research assistant	2011-2012	Carnegie Mellon
Matthew D. Golub	grad student	2009-2015	Carnegie Mellon
Alan D. Degenhart	post-doc	2014-	Carnegie Mellon
Emilio Salazar-Gatzimas	post-doc	2019-	Carnegie Mellon
Adam C. Snyder	post-doc	2015-2018	Carnegie Mellon

Collaborators

Patrick T. Sadtler	collaborator		University of Pittsburgh
Matthew A. Smith	collaborator	2010-	Carnegie Mellon

BETA: Related publications

Publications

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Semedo JD, Gokcen E, Machens CK, et al. (2020) Statistical methods for dissecting interactions between brain areas. Current Opinion in Neurobiology. 65: 59-69
Cowley BR, Snyder AC, Acar K, et al. (2020) Slow Drift of Neural Activity as a Signature of Impulsivity in Macaque Visual and Prefrontal Cortex. Neuron
Kohn A, Jasper AI, Semedo JD, et al. (2020) Principles of Corticocortical Communication: Proposed Schemes and Design Considerations. Trends in Neurosciences
Degenhart AD, Bishop WE, Oby ER, et al. (2020) Stabilization of a brain-computer interface via the alignment of low-dimensional spaces of neural activity. Nature Biomedical Engineering
Oby ER, Golub MD, Hennig JA, et al. (2019) New neural activity patterns emerge with long-term learning. Proceedings of the National Academy of Sciences of the United States of America
Semedo JD, Zandvakili A, Machens CK, et al. (2019) Cortical Areas Interact through a Communication Subspace. Neuron
Williamson RC, Doiron B, Smith MA, et al. (2019) Bridging large-scale neuronal recordings and large-scale network models using dimensionality reduction. Current Opinion in Neurobiology. 55: 40-47
Kass RE, Amari SI, Arai K, et al. (2018) Computational Neuroscience: Mathematical and Statistical Perspectives. Annual Review of Statistics and Its Application. 5: 183-214
Snyder AC, Yu BM, Smith MA. (2018) Distinct population codes for attention in the absence and presence of visual stimulation. Nature Communications. 9: 4382
Hennig JA, Golub MD, Lund PJ, et al. (2018) Constraints on neural redundancy. Elife. 7

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