☰ 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
Shenghao Wu	grad student	2018-
Matthew D. Golub	grad student	2009-2015	Carnegie Mellon
Ben Cowley	grad student	2012-2018	Carnegie Mellon
Erinn M Grigsby	grad student	2015-2021
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
Xiao Zhou	collaborator		Carnegie Mellon
Matthew A. Smith	collaborator	2010-	Carnegie Mellon

BETA: Related publications

Publications

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Hennig JA, Oby ER, Losey DM, et al. (2021) How learning unfolds in the brain: toward an optimization view. Neuron
Snyder AC, Yu BM, Smith MA. (2021) A stable population code for attention in prefrontal cortex leads a dynamic attention code in visual cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Umakantha A, Morina R, Cowley BR, et al. (2021) Bridging neuronal correlations and dimensionality reduction. Neuron
Hennig JA, Oby ER, Golub MD, et al. (2021) Learning is shaped by abrupt changes in neural engagement. Nature Neuroscience
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
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

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