Mark M. Churchland

Publication Activity (10 Years)

Years Active: 2006-2021
Publications (10 Years): 4

Top Topics

Discriminative Learning

Top Venues

NeurIPS Datasets and Benchmarks

PLoS Comput. Biol.

Publications

Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. NeurIPS Datasets and Benchmarks (2021)
Felix Pei, Joel Ye, David L. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. CoRR (2021)
Gabriel Loaiza-Ganem, Sean Perkins, Karen Schroeder, Mark M. Churchland, John P. Cunningham
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data. NeurIPS (2019)
Jeffrey S. Seely, Matthew T. Kaufman, Stephen I. Ryu, Krishna V. Shenoy, John P. Cunningham, Mark M. Churchland
Tensor Analysis Reveals Distinct Population Structure that Parallels the Different Computational Roles of Areas M1 and V1. PLoS Comput. Biol. 12 (11) (2016)
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)
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)