Byron M. Yu, Ph.D.

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

Parents

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

Children

Sign in to add trainee
Yuanning Li research assistant 2011-2012 Carnegie Mellon (Neurotree)
Shenghao Wu grad student 2018- (Neurotree)
Matthew D. Golub grad student 2009-2015 Carnegie Mellon (Neurotree)
Ben Cowley grad student 2012-2018 Carnegie Mellon (Neurotree)
Erinn M Grigsby grad student 2015-2021 (Neurotree)
Alan D. Degenhart post-doc 2014- Carnegie Mellon (Neurotree)
Emilio Salazar-Gatzimas post-doc 2019- Carnegie Mellon (Neurotree)
Adam C. Snyder post-doc 2015-2018 Carnegie Mellon (Neurotree)

Collaborators

Sign in to add collaborator
Patrick T. Sadtler collaborator University of Pittsburgh (Neurotree)
Xiao Zhou collaborator Carnegie Mellon (Neurotree)
Matthew A. Smith collaborator 2010- Carnegie Mellon (Neurotree)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Oby ER, Degenhart AD, Grigsby EM, et al. (2024) Dynamical constraints on neural population activity. Biorxiv : the Preprint Server For Biology
Wu S, Huang C, Snyder A, et al. (2023) Automated customization of large-scale spiking network models to neuronal population activity. Biorxiv : the Preprint Server For Biology
Smoulder AL, Marino PJ, Oby ER, et al. (2023) A neural basis of choking under pressure. Biorxiv : the Preprint Server For Biology
Batista AP, Pandarinath C, Yu BM. (2023) Krishna Shenoy (1968-2023). Neuron. 111: 764-766
Dekleva BM, Chowdhury RH, Batista AP, et al. (2023) Motor cortex retains and reorients neural dynamics during motor imagery. Biorxiv : the Preprint Server For Biology
Koh TH, Bishop WE, Kawashima T, et al. (2022) Dimensionality reduction of calcium-imaged neuronal population activity. Nature Computational Science. 3: 71-85
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
See more...