Jonathan C. Kao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 18

Top Topics

Neural Dynamics

Top Venues

IEEE Trans. Biomed. Eng.

Publications

Ebrahim Feghhi, Nima Hadidi, Bryan Song, Idan Blank, Jonathan C. Kao
What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain Scores. CoRR (2024)
John L. Zhou, Weizhe Hong, Jonathan C. Kao
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents. CoRR (2024)
Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
Gacs-Korner Common Information Variational Autoencoder. NeurIPS (2023)
Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
Gacs-Korner Common Information Variational Autoencoder. CoRR (2022)
Brandon McMahan, Michael Kleinman, Jonathan C. Kao
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks. NeurIPS (2021)
Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
Redundant Information Neural Estimation. Entropy 23 (7) (2021)
Michael Kleinman, Chandramouli Chandrasekaran, Jonathan C. Kao
A mechanistic multi-area recurrent network model of decision-making. NeurIPS (2021)
Michael Kleinman, Alessandro Achille, Daksh Idnani, Jonathan C. Kao
Usable Information and Evolution of Optimal Representations During Training. ICLR (2021)
Michael Kleinman, Daksh Idnani, Alessandro Achille, Jonathan C. Kao
Usable Information and Evolution of Optimal Representations During Training. CoRR (2020)
Ken-Fu Liang, Jonathan C. Kao
Deep Learning Neural Encoders for Motor Cortex. IEEE Trans. Biomed. Eng. 67 (8) (2020)
Xiyuan Jiang, Stephen I. Ryu, Krishna V. Shenoy, Jonathan C. Kao
Single Neuron Firing Rate Statistics in Motor Cortex During Execution and Observation of Movement. EMBC (2018)
Paul Nuyujukian, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy
A Nonhuman Primate Brain-Computer Typing Interface. Proc. IEEE 105 (1) (2017)
Jonathan C. Kao, Paul Nuyujukian, Stephen I. Ryu, Krishna V. Shenoy
A High-Performance Neural Prosthesis Incorporating Discrete State Selection With Hidden Markov Models. IEEE Trans. Biomed. Eng. 64 (4) (2017)
Xulu Sun, Jonathan C. Kao, James H. Marshel, Stephen I. Ryu, Krishna V. Shenoy
Feasibility analysis of genetically-encoded calcium indicators as a neural signal source for all-optical brain-machine interfaces. NER (2017)
Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy
Leveraging historical knowledge of neural dynamics to rescue decoder performance as neural channels are lost: "Decoder hysteresis". EMBC (2015)
Sergey D. Stavisky, Jonathan C. Kao, Jordan M. Sorokin, Stephen I. Ryu, Krishna V. Shenoy
System identification of brain-machine interface control using a cursor jump perturbation. NER (2015)
Paul Nuyujukian, Joline M. Fan, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy
A High-Performance Keyboard Neural Prosthesis Enabled by Task Optimization. IEEE Trans. Biomed. Eng. 62 (1) (2015)
Nir Even-Chen, Sergey D. Stavisky, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy
Auto-deleting brain machine interface: Error detection using spiking neural activity in the motor cortex. EMBC (2015)
Jonathan C. Kao, Sergey D. Stavisky, David Sussillo, Paul Nuyujukian, Krishna V. Shenoy
Information Systems Opportunities in Brain-Machine Interface Decoders. Proc. IEEE 102 (5) (2014)
Sergey D. Stavisky, Jonathan C. Kao, Paul Nuyujukian, Stephen I. Ryu, Krishna V. Shenoy
Hybrid decoding of both spikes and low-frequency local field potentials for brain-machine interfaces. EMBC (2014)
Jonathan C. Kao, Paul Nuyujukian, Sergey D. Stavisky, Stephen I. Ryu, Surya Ganguli, Krishna V. Shenoy
Investigating the role of firing-rate normalization and dimensionality reduction in brain-machine interface robustness. EMBC (2013)