Byron M. Yu, Ph.D.

Affiliations: 
Carnegie Mellon University, Pittsburgh, PA 
Area:
Neural population activity, statistical analysis of neural data, brain-computer interfaces
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"Byron Yu"
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SNBCP
Cross-listing: MathTree

Parents

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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

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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
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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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