Byron M. Yu - RankMe

29 papers A* 2A 1Misc 1Journal 10Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fast Multigroup Gaussian Process Factor Models. Neural Comput. Evren Gokcen, Anna Jasper, Adam Kohn, Christian K. Machens, Byron M. Yu
2024	J	`jnl`	Automated customization of large-scale spiking network models to neuronal population activity. Nat. Comput. Sci. Shenghao Wu, Chengcheng Huang, Adam C. Snyder, Matthew A. Smith, Brent Doiron, Byron M. Yu
2024	J	`jnl`	Fast Multi-Group Gaussian Process Factor Models. CoRR Evren Gokcen, Anna Jasper, Adam Kohn, Christian K. Machens, Byron M. Yu
2024	A*	`conf`	MiSO: Optimizing brain stimulation to create neural activity states. NeurIPS Yuki Minai, Joana Soldado-Magraner, Matthew A. Smith, Byron M. Yu
2023	J	`jnl`	Dimensionality reduction of calcium-imaged neuronal population activity. Nat. Comput. Sci. 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
2023	A*	`conf`	Uncovering motifs of concurrent signaling across multiple neuronal populations. NeurIPS Evren Gokcen, Anna Jasper, Alison Xu, Adam Kohn, Christian K. Machens, Byron M. Yu
2022	J	`jnl`	Disentangling the flow of signals between populations of neurons. Nat. Comput. Sci. Evren Gokcen, Anna Jasper, João D. Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu
2017	—	`conf`	Adaptive stimulus selection for optimizing neural population responses. NIPS Benjamin R. Cowley, Ryan C. Williamson, Katerina Clemens, Matthew A. Smith, Byron M. Yu
2017	A	`conf`	Distance Covariance Analysis. AISTATS Benjamin Cowley, João D. Semedo, Amin Zandvakili, Matthew A. Smith, Adam Kohn, Byron M. Yu
2016	J	`jnl`	Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models. PLoS Comput. Biol. Ryan C. Williamson, Benjamin R. Cowley, Ashok Litwin-Kumar, Brent Doiron, Adam Kohn, Matthew A. Smith, Byron M. Yu
2016	J	`jnl`	Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex. PLoS Comput. Biol. Benjamin R. Cowley, Matthew A. Smith, Adam Kohn, Byron M. Yu
2015	J	`jnl`	Extracting Low-Dimensional Latent Structure from Time Series in the Presence of Delays. Neural Comput. Karthik Lakshmanan, Patrick T. Sadtler, Elizabeth C. Tyler-Kabara, Aaron P. Batista, Byron M. Yu
2014	—	`conf`	Deterministic Symmetric Positive Semidefinite Matrix Completion. NIPS William E. Bishop, Byron M. Yu
2014	—	`conf`	Extracting Latent Structure From Multiple Interacting Neural Populations. NIPS João D. Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu
2014	J	`jnl`	Neural constraints on learning. Nat. 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
2013	—	`conf`	Learning an Internal Dynamics Model from Control Demonstration. ICML (1) Matthew D. Golub, Steven M. Chase, Byron M. Yu
2012	—	`conf`	A brain machine interface control algorithm designed from a feedback control perspective. EMBC Vikash Gilja, Paul Nuyujukian, Cindy A. Chestek, John P. Cunningham, Byron M. Yu, Joline M. Fan, Stephen I. Ryu, Krishna V. Shenoy
2012	—	`conf`	DataHigh: Graphical user interface for visualizing and interacting with high-dimensional neural activity. EMBC Benjamin R. Cowley, Matthew T. Kaufman, Mark M. Churchland, Stephen I. Ryu, Krishna V. Shenoy, Byron M. Yu
2012	—	`conf`	Internal models engaged by brain-computer interface control. EMBC Matthew D. Golub, Byron M. Yu, Steven M. Chase
2011	—	`conf`	Dynamical segmentation of single trials from population neural data. NIPS Biljana Petreska, Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani
2011	—	`conf`	Empirical models of spiking in neural populations. NIPS Jakob H. Macke, Lars Buesing, John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani
2008	Misc	`conf`	A factor-analysis decoder for high-performance neural prostheses. ICASSP Gopal Santhanam, Byron M. Yu, Vikash Gilja, Stephen I. Ryu, Afsheen Afshar, Maneesh Sahani, Krishna V. Shenoy
2008	—	`conf`	Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity. NIPS Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani
2008	J	`jnl`	Signal Processing Challenges for Neural Prostheses. IEEE Signal Process. Mag. 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
2007	—	`conf`	Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes. NIPS John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani
2007	—	`conf`	Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models. ICONIP (1) Byron M. Yu, John P. Cunningham, Krishna V. Shenoy, Maneesh Sahani
2006	—	`conf`	Increasing the Performance of Cortically-Controlled Prostheses. EMBC (Supplement) 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
2006	—	`conf`	Optimal Target Placement for Neural Communication Prostheses. EMBC John P. Cunningham, Byron M. Yu, Krishna V. Shenoy
2005	—	`conf`	Extracting Dynamical Structure Embedded in Neural Activity. NIPS Byron M. Yu, Afsheen Afshar, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani