Jonathan C. Kao

32 papers A* 7Journal 18Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
DiSCo: Diffusion Sequence Copilots for Shared Autonomy.
HRI
Andy Wang, Xu Yan, Brandon McMahan, Michael Zhou, Yuyang Yuan, Johannes Y. Lee, Ali Shreif, Matthew Li, Zhenghao Peng, Bolei Zhou, Yuchen Cui, Jonathan C. Kao
2026 J jnl
DiSCo: Diffusion Sequence Copilots for Shared Autonomy.
CoRR
Andy Wang, Xu Yan, Brandon McMahan, Michael Zhou, Yuyang Yuan, Johannes Y. Lee, Ali Shreif, Matthew Li, Zhenghao Peng, Bolei Zhou, Yuchen Cui, Jonathan C. Kao
2026 J jnl
LightBeam: An Accurate and Memory-Efficient CTC Decoder for Speech Neuroprostheses.
CoRR
Ebrahim Feghhi, Junlin Hu, Nima Hadidi, Jonathan C. Kao
2026 J jnl
Re-evaluating Position and Velocity Decoding for Hand Pose Estimation with Surface Electromyography.
CoRR
Nima Hadidi, Johannes Lee, Ebrahim Feghhi, Michael Yuan, Jonathan C. Kao
2025 J jnl
Flattening Hierarchies with Policy Bootstrapping.
CoRR
John L. Zhou, Jonathan C. Kao
2025 J jnl
LowKeyEMG: Electromyographic typing with a reduced keyset.
CoRR
Johannes Y. Lee, Derek Xiao, Shreyas Kaasyap, Nima Hadidi, John L. Zhou, Jacob Cunningham, Rakshith R. Gore, Deniz O. Eren, Jonathan C. Kao
2025 J jnl
SplashNet: Split-and-Share Encoders for Accurate and Efficient Typing with Surface Electromyography.
CoRR
Nima Hadidi, Jason Chan, Ebrahim Feghhi, Jonathan C. Kao
2025 J jnl
Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding.
CoRR
Ebrahim Feghhi, Shreyas Kaasyap, Nima Hadidi, Jonathan C. Kao
2024 A* conf
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents.
NeurIPS
John L. Zhou, Weizhe Hong, Jonathan C. Kao
2024 J jnl
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents.
CoRR
John L. Zhou, Weizhe Hong, Jonathan C. Kao
2024 A* conf
Shared Autonomy with IDA: Interventional Diffusion Assistance.
NeurIPS
Brandon McMahan, Zhenghao Mark Peng, Bolei Zhou, Jonathan C. Kao
2024 J jnl
Shared Autonomy with IDA: Interventional Diffusion Assistance.
CoRR
Brandon McMahan, Zhenghao Peng, Bolei Zhou, Jonathan C. Kao
2024 J jnl
What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain Scores.
CoRR
Ebrahim Feghhi, Nima Hadidi, Bryan Song, Idan A. Blank, Jonathan C. Kao
2023 A* conf
Gacs-Korner Common Information Variational Autoencoder.
NeurIPS
Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
2022 J jnl
Gacs-Korner Common Information Variational Autoencoder.
CoRR
Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
2021 A* conf
A mechanistic multi-area recurrent network model of decision-making.
NeurIPS
Michael Kleinman, Chandramouli Chandrasekaran, Jonathan C. Kao
2021 A* conf
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks.
NeurIPS
Brandon McMahan, Michael Kleinman, Jonathan C. Kao
2021 J jnl
Redundant Information Neural Estimation.
Entropy
Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
2021 A* conf
Usable Information and Evolution of Optimal Representations During Training.
ICLR
Michael Kleinman, Alessandro Achille, Daksh Idnani, Jonathan C. Kao
2020 J jnl
Deep Learning Neural Encoders for Motor Cortex.
IEEE Trans. Biomed. Eng.
Ken-Fu Liang, Jonathan C. Kao
2020 J jnl
Usable Information and Evolution of Optimal Representations During Training.
CoRR
Michael Kleinman, Daksh Idnani, Alessandro Achille, Jonathan C. Kao
2018 — conf
Single Neuron Firing Rate Statistics in Motor Cortex During Execution and Observation of Movement.
EMBC
Xiyuan Jiang, Stephen I. Ryu, Krishna V. Shenoy, Jonathan C. Kao
2017 J jnl
A High-Performance Neural Prosthesis Incorporating Discrete State Selection With Hidden Markov Models.
IEEE Trans. Biomed. Eng.
Jonathan C. Kao, Paul Nuyujukian, Stephen I. Ryu, Krishna V. Shenoy
2017 J jnl
A Nonhuman Primate Brain-Computer Typing Interface.
Proc. IEEE
Paul Nuyujukian, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy
2017 — conf
Feasibility analysis of genetically-encoded calcium indicators as a neural signal source for all-optical brain-machine interfaces.
NER
Xulu Sun, Jonathan C. Kao, James H. Marshel, Stephen I. Ryu, Krishna V. Shenoy
2015 J jnl
A High-Performance Keyboard Neural Prosthesis Enabled by Task Optimization.
IEEE Trans. Biomed. Eng.
Paul Nuyujukian, Joline M. Fan, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy
2015 — conf
Auto-deleting brain machine interface: Error detection using spiking neural activity in the motor cortex.
EMBC
Nir Even-Chen, Sergey D. Stavisky, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy
2015 — conf
Leveraging historical knowledge of neural dynamics to rescue decoder performance as neural channels are lost: "Decoder hysteresis".
EMBC
Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy
2015 — conf
System identification of brain-machine interface control using a cursor jump perturbation.
NER
Sergey D. Stavisky, Jonathan C. Kao, Jordan M. Sorokin, Stephen I. Ryu, Krishna V. Shenoy
2014 — conf
Hybrid decoding of both spikes and low-frequency local field potentials for brain-machine interfaces.
EMBC
Sergey D. Stavisky, Jonathan C. Kao, Paul Nuyujukian, Stephen I. Ryu, Krishna V. Shenoy
2014 J jnl
Information Systems Opportunities in Brain-Machine Interface Decoders.
Proc. IEEE
Jonathan C. Kao, Sergey D. Stavisky, David Sussillo, Paul Nuyujukian, Krishna V. Shenoy
2013 — conf
Investigating the role of firing-rate normalization and dimensionality reduction in brain-machine interface robustness.
EMBC
Jonathan C. Kao, Paul Nuyujukian, Sergey D. Stavisky, Stephen I. Ryu, Surya Ganguli, Krishna V. Shenoy