Jonathan C. Kao

According to our database, Jonathan C. Kao authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Shared Autonomy with IDA: Interventional Diffusion Assistance.

Brandon McMahan, Zhenghao Peng, Bolei Zhou, Jonathan C. Kao

CoRR, 2024

Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents.

John L. Zhou, Weizhe Hong, Jonathan C. Kao

CoRR, 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

2023

Gacs-Korner Common Information Variational Autoencoder.

Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Redundant Information Neural Estimation.

Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao

Entropy, 2021

Learning rule influences recurrent network representations but not attractor structure in decision-making tasks.

Brandon McMahan, Michael Kleinman, Jonathan C. Kao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A mechanistic multi-area recurrent network model of decision-making.

Michael Kleinman, Chandramouli Chandrasekaran, Jonathan C. Kao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Usable Information and Evolution of Optimal Representations During Training.

Michael Kleinman, Alessandro Achille, Daksh Idnani, Jonathan C. Kao

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Deep Learning Neural Encoders for Motor Cortex.

Ken-Fu Liang, Jonathan C. Kao

IEEE Trans. Biomed. Eng., 2020

2018

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

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

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

A Nonhuman Primate Brain-Computer Typing Interface.

Paul Nuyujukian, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy

Proc. IEEE, 2017

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

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

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

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

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 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

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

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

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

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

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

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

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

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013