Byron M. Yu

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 7

Top Topics

Activity Patterns

Dimensionality Reduction

Primary Visual Cortex

Top Venues

Nat. Comput. Sci.

PLoS Comput. Biol.

Publications

Tze Hui Koh, William E. Bishop, Takashi Kawashima, Brian B. Jeon, Ranjani Srinivasan, Yu Mu, Ziqiang Wei, Sandra J. Kuhlman, Misha B. Ahrens, Steven M. Chase, Byron M. Yu
Dimensionality reduction of calcium-imaged neuronal population activity. Nat. Comput. Sci. 3 (1) (2023)
Evren Gokcen, Anna Jasper, Alison Xu, Adam Kohn, Christian K. Machens, Byron M. Yu
Uncovering motifs of concurrent signaling across multiple neuronal populations. NeurIPS (2023)
Evren Gokcen, Anna Jasper, João D. Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu
Disentangling the flow of signals between populations of neurons. Nat. Comput. Sci. 2 (8) (2022)
Benjamin Cowley, João D. Semedo, Amin Zandvakili, Matthew A. Smith, Adam Kohn, Byron M. Yu
Distance Covariance Analysis. AISTATS (2017)
Benjamin R. Cowley, Ryan C. Williamson, Katerina Clemens, Matthew A. Smith, Byron M. Yu
Adaptive stimulus selection for optimizing neural population responses. NIPS (2017)
Ryan C. Williamson, Benjamin R. Cowley, Ashok Litwin-Kumar, Brent Doiron, Adam Kohn, Matthew A. Smith, Byron M. Yu
Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models. PLoS Comput. Biol. 12 (12) (2016)
Benjamin R. Cowley, Matthew A. Smith, Adam Kohn, Byron M. Yu
Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex. PLoS Comput. Biol. 12 (12) (2016)
Karthik Lakshmanan, Patrick T. Sadtler, Elizabeth C. Tyler-Kabara, Aaron P. Batista, Byron M. Yu
Extracting Low-Dimensional Latent Structure from Time Series in the Presence of Delays. Neural Comput. 27 (9) (2015)
Patrick T. Sadtler, Kristin M. Quick, Matthew D. Golub, Steven M. Chase, Stephen I. Ryu, Elizabeth C. Tyler-Kabara, Byron M. Yu, Aaron P. Batista
Neural constraints on learning. Nat. 512 (7515) (2014)
João D. Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu
Extracting Latent Structure From Multiple Interacting Neural Populations. NIPS (2014)
William E. Bishop, Byron M. Yu
Deterministic Symmetric Positive Semidefinite Matrix Completion. NIPS (2014)
Matthew D. Golub, Steven M. Chase, Byron M. Yu
Learning an Internal Dynamics Model from Control Demonstration. ICML (1) (2013)
Benjamin R. Cowley, Matthew T. Kaufman, Mark M. Churchland, Stephen I. Ryu, Krishna V. Shenoy, Byron M. Yu
DataHigh: Graphical user interface for visualizing and interacting with high-dimensional neural activity. EMBC (2012)
Matthew D. Golub, Byron M. Yu, Steven M. Chase
Internal models engaged by brain-computer interface control. EMBC (2012)
Vikash Gilja, Paul Nuyujukian, Cindy A. Chestek, John P. Cunningham, Byron M. Yu, Joline M. Fan, Stephen I. Ryu, Krishna V. Shenoy
A brain machine interface control algorithm designed from a feedback control perspective. EMBC (2012)
Jakob H. Macke, Lars Buesing, John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani
Empirical models of spiking in neural populations. NIPS (2011)
Biljana Petreska, Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani
Dynamical segmentation of single trials from population neural data. NIPS (2011)
Michael D. Linderman, Gopal Santhanam, Caleb T. Kemere, Vikash Gilja, Stephen O'Driscoll, Byron M. Yu, Afsheen Afshar, Stephen I. Ryu, Krishna V. Shenoy, Teresa H. Meng
Signal Processing Challenges for Neural Prostheses. IEEE Signal Process. Mag. 25 (1) (2008)
Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity. NIPS (2008)
Gopal Santhanam, Byron M. Yu, Vikash Gilja, Stephen I. Ryu, Afsheen Afshar, Maneesh Sahani, Krishna V. Shenoy
A factor-analysis decoder for high-performance neural prostheses. ICASSP (2008)
Byron M. Yu, John P. Cunningham, Krishna V. Shenoy, Maneesh Sahani
Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models. ICONIP (1) (2007)
John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes. NIPS (2007)
John P. Cunningham, Byron M. Yu, Krishna V. Shenoy
Optimal Target Placement for Neural Communication Prostheses. EMBC (2006)
Krishna V. Shenoy, Teresa H. Santhanam, Stephen I. Ryu, Afsheen Afshar, Byron M. Yu, Vikash Gilja, Michael D. Linderman, Rachel S. Kalmar, John P. Cunningham, Caleb T. Kemere, Aaron P. Batista, Mark M. Churchland, Teresa H. Meng
Increasing the Performance of Cortically-Controlled Prostheses. EMBC (Supplement) (2006)
Byron M. Yu, Afsheen Afshar, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani
Extracting Dynamical Structure Embedded in Neural Activity. NIPS (2005)