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ORCIDJonathan C. Kao
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2020 – today
- 2024
[i5]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 abs/2406.01538 (2024)- [i4]John L. Zhou, Weizhe Hong, Jonathan C. Kao:
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents. CoRR abs/2406.01641 (2024) - [i3]Brandon McMahan, Zhenghao Peng, Bolei Zhou, Jonathan C. Kao:
Shared Autonomy with IDA: Interventional Diffusion Assistance. CoRR abs/2409.15317 (2024) - 2023
- [c11]Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao:
Gacs-Korner Common Information Variational Autoencoder. NeurIPS 2023 - 2022
- [i2]Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao:
Gacs-Korner Common Information Variational Autoencoder. CoRR abs/2205.12239 (2022) - 2021
- [j6]Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao:
Redundant Information Neural Estimation. Entropy 23(7): 922 (2021) - [c10]Michael Kleinman, Alessandro Achille, Daksh Idnani, Jonathan C. Kao:
Usable Information and Evolution of Optimal Representations During Training. ICLR 2021 - [c9]Brandon McMahan, Michael Kleinman, Jonathan C. Kao:
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks. NeurIPS 2021: 21972-21983 - [c8]Michael Kleinman, Chandramouli Chandrasekaran, Jonathan C. Kao:
A mechanistic multi-area recurrent network model of decision-making. NeurIPS 2021: 23152-23165 - 2020
- [j5]Ken-Fu Liang, Jonathan C. Kao:
Deep Learning Neural Encoders for Motor Cortex. IEEE Trans. Biomed. Eng. 67(8): 2145-2158 (2020) - [i1]Michael Kleinman, Daksh Idnani, Alessandro Achille, Jonathan C. Kao:
Usable Information and Evolution of Optimal Representations During Training. CoRR abs/2010.02459 (2020)
2010 – 2019
- 2018
- [c7]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: 981-986 - 2017
- [j4]Paul Nuyujukian, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy:
A Nonhuman Primate Brain-Computer Typing Interface. Proc. IEEE 105(1): 66-72 (2017) - [j3]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): 935-945 (2017) - [c6]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: 174-180 - 2015
- [j2]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): 21-29 (2015) - [c5]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: 71-75 - [c4]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: 1061-1066 - [c3]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: 643-647 - 2014
- [j1]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): 666-682 (2014) - [c2]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: 3041-3044 - 2013
- [c1]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: 293-298
Coauthor Index
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