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Byron M. Yu
ORCID
Publication Activity (10 Years)
Years Active: 2005-2023
Publications (10 Years): 7
Top Topics
Activity Patterns
Dimensionality Reduction
Semidefinite
Primary Visual Cortex
Top Venues
NIPS
Nat. Comput. Sci.
PLoS Comput. Biol.
AISTATS
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Publications
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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)