Shenoy, Krishna V.

10 publications

NeurIPS 2023 Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication Chaofei Fan, Nick Hahn, Foram Kamdar, Donald Avansino, Guy Wilson, Leigh Hochberg, Krishna V Shenoy, Jaimie Henderson, Francis Willett

NeurIPS 2020 Organizing Recurrent Network Dynamics by Task-Computation to Enable Continual Learning Lea Duncker, Laura Driscoll, Krishna V. Shenoy, Maneesh Sahani, David Sussillo

NeurIPS 2015 High-Dimensional Neural Spike Train Analysis with Generalized Count Linear Dynamical Systems Yuanjun Gao, Lars Busing, Krishna V. Shenoy, John P. Cunningham

NeurIPS 2011 A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm Julie Dethier, Paul Nuyujukian, Chris Eliasmith, Terrence C. Stewart, Shauki A. Elasaad, Krishna V. Shenoy, Kwabena A. Boahen

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

ICML 2008 Fast Gaussian Process Methods for Point Process Intensity Estimation John P. Cunningham, 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