Yu, Byron M.

12 publications

NeurIPS 2025 OMiSO: Adaptive Optimization of State-Dependent Brain Stimulation to Shape Neural Population States Yuki Minai, Joana Soldado-Magraner, Byron M. Yu, Matthew A. Smith

NeurIPS 2024 MiSO: Optimizing Brain Stimulation to Create Neural Population Activity States Yuki Minai, Joana Soldado-Magraner, Matthew A. Smith, Byron M. Yu

NeurIPS 2023 Uncovering Motifs of Concurrent Signaling Across Multiple Neuronal Populations Evren Gokcen, Anna Jasper, Alison Xu, Adam Kohn, Christian K. Machens, Byron M Yu

NeurIPS 2017 Adaptive Stimulus Selection for Optimizing Neural Population Responses Benjamin Cowley, Ryan Williamson, Katerina Clemens, Matthew Smith, Byron M. Yu

AISTATS 2017 Distance Covariance Analysis Benjamin Cowley, João D. Semedo, Amin Zandvakili, Matthew A. Smith, Adam Kohn, Byron M. Yu

NeurIPS 2014 Deterministic Symmetric Positive Semidefinite Matrix Completion William E Bishop, Byron M. Yu

NeurIPS 2014 Extracting Latent Structure from Multiple Interacting Neural Populations Joao Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu

NeurIPS 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

NeurIPS 2011 Empirical Models of Spiking in Neural Populations Jakob H. Macke, Lars Buesing, John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani

NeurIPS 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

NeurIPS 2007 Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani

NeurIPS 2005 Extracting Dynamical Structure Embedded in Neural Activity Byron M. Yu, Afsheen Afshar, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani