Byron M. Yu

According to our database, Byron M. Yu authored at least 25 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dimensionality reduction of calcium-imaged neuronal population activity.

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

Nat. Comput. Sci., 2023

Uncovering motifs of concurrent signaling across multiple neuronal populations.

Evren Gokcen, Anna Jasper, Alison Xu, Adam Kohn, Christian K. Machens, Byron M. Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Disentangling the flow of signals between populations of neurons.

Evren Gokcen, Anna Jasper, João D. Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu

Nat. Comput. Sci., 2022

2017

Adaptive stimulus selection for optimizing neural population responses.

Benjamin R. Cowley, Ryan C. Williamson, Katerina Clemens, Matthew A. Smith, Byron M. Yu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Distance Covariance Analysis.

Benjamin Cowley, João D. Semedo, Amin Zandvakili, Matthew A. Smith, Adam Kohn, Byron M. Yu

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models.

Ryan C. Williamson, Benjamin R. Cowley, Ashok Litwin-Kumar, Brent Doiron, Adam Kohn, Matthew A. Smith, Byron M. Yu

PLoS Comput. Biol., 2016

Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex.

Benjamin R. Cowley, Matthew A. Smith, Adam Kohn, Byron M. Yu

PLoS Comput. Biol., 2016

2015

Extracting Low-Dimensional Latent Structure from Time Series in the Presence of Delays.

Karthik Lakshmanan, Patrick T. Sadtler, Elizabeth C. Tyler-Kabara, Aaron P. Batista, Byron M. Yu

Neural Comput., 2015

2014

Neural constraints on learning.

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

Nat., 2014

Extracting Latent Structure From Multiple Interacting Neural Populations.

João D. Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Deterministic Symmetric Positive Semidefinite Matrix Completion.

William E. Bishop, Byron M. Yu

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Learning an Internal Dynamics Model from Control Demonstration.

Matthew D. Golub, Steven M. Chase, Byron M. Yu

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Internal models engaged by brain-computer interface control.

Matthew D. Golub, Byron M. Yu, Steven M. Chase

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A brain machine interface control algorithm designed from a feedback control perspective.

Vikash Gilja, Paul Nuyujukian, Cindy A. Chestek, John P. Cunningham, Byron M. Yu, Joline M. Fan, Stephen I. Ryu, Krishna V. Shenoy

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

DataHigh: Graphical user interface for visualizing and interacting with high-dimensional neural activity.

Benjamin R. Cowley, Matthew T. Kaufman, Mark M. Churchland, Stephen I. Ryu, Krishna V. Shenoy, Byron M. Yu

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Dynamical segmentation of single trials from population neural data.

Biljana Petreska, Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Empirical models of spiking in neural populations.

Jakob H. Macke, Lars Buesing, John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2008

Signal Processing Challenges for Neural Prostheses.

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

IEEE Signal Process. Mag., 2008

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.

Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A factor-analysis decoder for high-performance neural prostheses.

Gopal Santhanam, Byron M. Yu, Vikash Gilja, Stephen I. Ryu, Afsheen Afshar, Maneesh Sahani, Krishna V. Shenoy

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes.

John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models.

Byron M. Yu, John P. Cunningham, Krishna V. Shenoy, Maneesh Sahani

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

Increasing the Performance of Cortically-Controlled Prostheses.

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

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Optimal Target Placement for Neural Communication Prostheses.

John P. Cunningham, Byron M. Yu, Krishna V. Shenoy

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

Extracting Dynamical Structure Embedded in Neural Activity.

Byron M. Yu, Afsheen Afshar, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005