Investigating the role of firing-rate normalization and dimensionality reduction in brain-machine interface robustness. - Jonathan C. Kao; Paul Nuyujukian; Sergey D. Stavisky; Stephen I. Ryu; Surya Ganguli; Krishna V. Shenoy (EMBC, 2013)

Hybrid decoding of both spikes and low-frequency local field potentials for brain-machine interfaces. - Sergey D. Stavisky; Jonathan C. Kao; Paul Nuyujukian; Stephen I. Ryu; Krishna V. Shenoy (EMBC, 2014)

Information Systems Opportunities in Brain-Machine Interface Decoders. - Jonathan C. Kao; Sergey D. Stavisky; David Sussillo; Paul Nuyujukian; Krishna V. Shenoy (Proc. IEEE, 2014)

Auto-deleting brain machine interface: Error detection using spiking neural activity in the motor cortex. - Nir Even-Chen; Sergey D. Stavisky; Jonathan C. Kao; Stephen I. Ryu; Krishna V. Shenoy (EMBC, 2015)

Leveraging historical knowledge of neural dynamics to rescue decoder performance as neural channels are lost: "Decoder hysteresis". - Jonathan C. Kao; Stephen I. Ryu; Krishna V. Shenoy (EMBC, 2015)

System identification of brain-machine interface control using a cursor jump perturbation. - Sergey D. Stavisky; Jonathan C. Kao; Jordan M. Sorokin; Stephen I. Ryu; Krishna V. Shenoy (NER, 2015)

A High-Performance Keyboard Neural Prosthesis Enabled by Task Optimization. - Paul Nuyujukian; Joline M. Fan; Jonathan C. Kao; Stephen I. Ryu; Krishna V. Shenoy (IEEE Trans. Biomed. Eng., 2015)

Feasibility analysis of genetically-encoded calcium indicators as a neural signal source for all-optical brain-machine interfaces. - Xulu Sun; Jonathan C. Kao; James H. Marshel; Stephen I. Ryu; Krishna V. Shenoy (NER, 2017)

A Nonhuman Primate Brain-Computer Typing Interface. - Paul Nuyujukian; Jonathan C. Kao; Stephen I. Ryu; Krishna V. Shenoy (Proc. IEEE, 2017)

A High-Performance Neural Prosthesis Incorporating Discrete State Selection With Hidden Markov Models. - Jonathan C. Kao; Paul Nuyujukian; Stephen I. Ryu; Krishna V. Shenoy (IEEE Trans. Biomed. Eng., 2017)

Single Neuron Firing Rate Statistics in Motor Cortex During Execution and Observation of Movement. - Xiyuan Jiang; Stephen I. Ryu; Krishna V. Shenoy; Jonathan C. Kao (EMBC, 2018)

Deep Learning Neural Encoders for Motor Cortex. - Ken-Fu Liang; Jonathan C. Kao (IEEE Trans. Biomed. Eng., 2020)

Usable Information and Evolution of Optimal Representations During Training. - Michael Kleinman; Alessandro Achille; Daksh Idnani; Jonathan C. Kao (ICLR, 2021)

A mechanistic multi-area recurrent network model of decision-making. - Michael Kleinman; Chandramouli Chandrasekaran; Jonathan C. Kao (NeurIPS, 2021)

Learning rule influences recurrent network representations but not attractor structure in decision-making tasks. - Brandon McMahan; Michael Kleinman; Jonathan C. Kao (NeurIPS, 2021)

Redundant Information Neural Estimation. - Michael Kleinman; Alessandro Achille; Stefano Soatto; Jonathan C. Kao (Entropy, 2021)

Gacs-Korner Common Information Variational Autoencoder. - Michael Kleinman; Alessandro Achille; Stefano Soatto; Jonathan C. Kao (NeurIPS, 2023)

Shared Autonomy with IDA: Interventional Diffusion Assistance. - Brandon McMahan; Zhenghao Mark Peng; Bolei Zhou; Jonathan C. Kao (NeurIPS, 2024)

Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents. - John L. Zhou; Weizhe Hong; Jonathan C. Kao (NeurIPS, 2024)

What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain Scores. - Ebrahim Feghhi; Nima Hadidi; Bryan Song; Idan Blank; Jonathan C. Kao (CoRR, 2024)

Flattening Hierarchies with Policy Bootstrapping. - John L. Zhou; Jonathan C. Kao (CoRR, 2025)

SplashNet: Split-and-Share Encoders for Accurate and Efficient Typing with Surface Electromyography. - Nima Hadidi; Jason Chan; Ebrahim Feghhi; Jonathan C. Kao (CoRR, 2025)

Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding. - Ebrahim Feghhi; Shreyas Kaasyap; Nima Hadidi; Jonathan C. Kao (CoRR, 2025)

LowKeyEMG: Electromyographic typing with a reduced keyset. - Johannes Y. Lee; Derek Xiao; Shreyas Kaasyap; Nima Hadidi; John L. Zhou; Jacob Cunningham; Rakshith R. Gore; Deniz O. Eren; Jonathan C. Kao (CoRR, 2025)