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Byron M. Yu
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2024
- [j8]Shenghao Wu, Chengcheng Huang, Adam C. Snyder, Matthew A. Smith, Brent Doiron, Byron M. Yu:
Automated customization of large-scale spiking network models to neuronal population activity. Nat. Comput. Sci. 4(9): 690-705 (2024) - 2023
- [j7]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): 71-85 (2023) - [c18]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 - 2022
- [j6]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): 512-525 (2022)
2010 – 2019
- 2017
- [c17]Benjamin Cowley, João D. Semedo, Amin Zandvakili, Matthew A. Smith, Adam Kohn, Byron M. Yu:
Distance Covariance Analysis. AISTATS 2017: 242-251 - [c16]Benjamin R. Cowley, Ryan C. Williamson, Katerina Clemens, Matthew A. Smith, Byron M. Yu:
Adaptive stimulus selection for optimizing neural population responses. NIPS 2017: 1396-1406 - 2016
- [j5]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) - [j4]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) - 2015
- [j3]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): 1825-1856 (2015) - 2014
- [j2]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): 423-426 (2014) - [c15]William E. Bishop, Byron M. Yu:
Deterministic Symmetric Positive Semidefinite Matrix Completion. NIPS 2014: 2762-2770 - [c14]João D. Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu:
Extracting Latent Structure From Multiple Interacting Neural Populations. NIPS 2014: 2942-2950 - 2013
- [c13]Matthew D. Golub, Steven M. Chase, Byron M. Yu:
Learning an Internal Dynamics Model from Control Demonstration. ICML (1) 2013: 606-614 - 2012
- [c12]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: 1318-1322 - [c11]Matthew D. Golub, Byron M. Yu, Steven M. Chase:
Internal models engaged by brain-computer interface control. EMBC 2012: 1327-1330 - [c10]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: 4607-4610 - 2011
- [c9]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: 756-764 - [c8]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: 1350-1358
2000 – 2009
- 2008
- [j1]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): 18-28 (2008) - [c7]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: 5208-5211 - [c6]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: 1881-1888 - 2007
- [c5]Byron M. Yu, John P. Cunningham, Krishna V. Shenoy, Maneesh Sahani:
Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models. ICONIP (1) 2007: 586-595 - [c4]John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani:
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes. NIPS 2007: 329-336 - 2006
- [c3]John P. Cunningham, Byron M. Yu, Krishna V. Shenoy:
Optimal Target Placement for Neural Communication Prostheses. EMBC 2006: 2912-2915 - [c2]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: 6652-6656 - 2005
- [c1]Byron M. Yu, Afsheen Afshar, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani:
Extracting Dynamical Structure Embedded in Neural Activity. NIPS 2005: 1545-1552
Coauthor Index
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