Jonathan C. Kao

4.6k citations

53 papers · 2.5k indexed · 1 hit paper · h-index 26

Impact in

Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Motor Control and Adaptation
- Memory and Neural Mechanisms
Cellular and Molecular Neuroscience top 1%
- Neuroscience and Neural Engineering

Papers in

Cognitive Neuroscience 40
- EEG and Brain-Computer Interfaces 32
- Neural dynamics and brain function 21
Cellular and Molecular Neuroscience 31
- Neuroscience and Neural Engineering 27

Co-authors: Krishna V. Shenoy Paul Nuyujukian Sergey D. Stavisky Stephen I. Ryu Joline M. Fan David Sussillo Matthew T. Kaufman Mark M. Churchland
Journals: Journal of Neural Engineering (6 papers)Journal of Neuroscience (4 papers)Nature Communications (4 papers)Scientific Reports (3 papers)Nature (3 papers)
Partner nations: United States Brazil Russia

In The Last Decade

Jonathan C. Kao

51 papers receiving 2.5k citations

Hit Papers

align trajectories log scale

Inferring single-trial neural population dynamics using sequential auto-encoders 2018 · 306 citations

Peers

Countries citing papers authored by Jonathan C. Kao

Since Specialization

Citations

This map shows the geographic impact of Jonathan C. Kao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan C. Kao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan C. Kao more than expected).

Fields of papers citing papers by Jonathan C. Kao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan C. Kao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan C. Kao. The network helps show where Jonathan C. Kao may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan C. Kao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan C. Kao Line = papers co-authored together Jonathan C. Kao links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Brain–computer interface control with artificial intelligence copilots Nature Machine Intelligence ·T. Sakamoto, SangJoon Lee, Nihad Fakry Mahmood, Yan Xu, Mark Povroznik, Julissa Galarza Villamar, Manshi Sagar, Henri Mondor, Chang Xie, Jonathan C. Kao	2025	1
2	Neural basis of cooperative behavior in biological and artificial intelligence systems Science ·Tingyang Li, Seble Legese, Elizabeth Joy Wider, João Vianney Barrozo Costa Severo, Jonathan C. Kao, Weizhe Hong	2025	0
3	Decoding and perturbing decision states in real time Nature ·Diogo Peixoto, V. Dragolici, Roozbeh Kiani, Jonathan C. Kao, Paul Nuyujukian, Chandramouli Chandrasekaran, Julian Brown, Higuchi Toshio, Stephen I. Ryu, Krishna V. Shenoy, William T. Newsome	2021	52
4	An artificial intelligence that increases simulated brain–computer interface performance Journal of Neural Engineering ·E. Diepenbruck, Jianwei Zhang, Mirui Zuo, 翠久坂, Daniel Maldonado Granda, Jonathan C. Kao	2021	10
5	Usable Information and Evolution of Optimal Representations During Training arXiv (Cornell University) ·Jesús Arroyo-Cortez, Alessandro Achille, Nissy A. Bovas, Jonathan C. Kao	2021	1
6	Measurement, manipulation and modeling of brain-wide neural population dynamics Nature Communications ·Krishna V. Shenoy, Jonathan C. Kao	2021	31
7	A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces Nature Biomedical Engineering ·Samuel R. Nason, Alex K. Vaskov, Matthew S. Willsey, Elissa Welle, Maria Reiber, Philip P. Vu, Autumn J. Bullard, Chrono S. Nu, Jonathan C. Kao, Krishna V. Shenoy, Taekwang Jang, Hun-Seok Kim, David Blaauw, Parag G. Patil, Cynthia A. Chestek	2020	78
8	Considerations in using recurrent neural networks to probe neural dynamics Journal of Neurophysiology ·Jonathan C. Kao	2019	11
9	A multi-stage recurrent neural network better describes decision-related activity in dorsal premotor cortex OpenBU (Boston University) ·Jesús Arroyo-Cortez, Chandramouli Chandrasekaran, Jonathan C. Kao	2019	1
10	Latent Factors and Dynamics in Motor Cortex and Their Application to Brain–Machine Interfaces Journal of Neuroscience ·Chethan Pandarinath, K. Cora Ames, Abigail A. Russo, Ali Farshchiansadegh, Lee E. Miller, Eva L. Dyer, Jonathan C. Kao	2018	64
11	Brain-machine interface cursor position only weakly affects monkey and human motor cortical activity in the absence of arm movements Scientific Reports ·Sergey D. Stavisky, Jonathan C. Kao, Paul Nuyujukian, Chethan Pandarinath, Christine H Blabe, Stephen I. Ryu, Leigh R. Hochberg, Jaimie M. Henderson, Krishna V. Shenoy	2018	6
12	Augmenting intracortical brain-machine interface with neurally driven error detectors Journal of Neural Engineering ·张群, Sergey D. Stavisky, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy	2017	19
13	Motor Cortical Visuomotor Feedback Activity Is Initially Isolated from Downstream Targets in Output-Null Neural State Space Dimensions Neuron ·Sergey D. Stavisky, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy	2017	64
14	Trial-by-Trial Motor Cortical Correlates of a Rapidly Adapting Visuomotor Internal Model Journal of Neuroscience ·Sergey D. Stavisky, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy	2017	17
15	The need for calcium imaging in nonhuman primates: New motor neuroscience and brain-machine interfaces Experimental Neurology ·Daniel J. O’Shea, Eric M. Trautmann, Chandramouli Chandrasekaran, Sergey D. Stavisky, Jonathan C. Kao, Maneesh Sahani, Stephen I. Ryu, Karl Deisseroth, Krishna V. Shenoy	2016	32
16	Making brain–machine interfaces robust to future neural variability Nature Communications ·David Sussillo, Sergey D. Stavisky, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy	2016	119
17	A High-Performance Neural Prosthesis Incorporating Discrete State Selection With Hidden Markov Models IEEE Transactions on Biomedical Engineering ·Jonathan C. Kao, Paul Nuyujukian, Stephen I. Ryu, Krishna V. Shenoy	2016	61
18	A high performing brain–machine interface driven by low-frequency local field potentials alone and together with spikes Journal of Neural Engineering ·Sergey D. Stavisky, Jonathan C. Kao, Paul Nuyujukian, Stephen I. Ryu, Krishna V. Shenoy	2015	100
19	A recurrent neural network for closed-loop intracortical brain–machine interface decoders Journal of Neural Engineering ·David Sussillo, Paul Nuyujukian, Joline M. Fan, Jonathan C. Kao, Sergey D. Stavisky, Stephen I. Ryu, Krishna V. Shenoy	2012	123
20	Focal amplification and oncogene dependency of GAB2 in breast cancer Oncogene ·Melanie Bocanegra, Anna Bergamaschi, Y. H. Kim, Melinda A. Miller, Ashish Rajput, Jonathan C. Kao, Anita Langerød, Won‐Sik Han, S. Jabur, Stefanie S. Jeffrey, David G. Huntsman, Wispe, Jonathan R. Pollack	2009	56

About Jonathan C. Kao

Jonathan C. Kao is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Endocrine and Autonomic Systems and Social Psychology, having authored 53 papers that have together received 2.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (32 papers), Neuroscience and Neural Engineering (27 papers), Neural dynamics and brain function (21 papers), Advanced Memory and Neural Computing (13 papers), Muscle activation and electromyography studies (4 papers), Neural Networks and Applications (4 papers), Neuroendocrine regulation and behavior (4 papers) and Zebrafish Biomedical Research Applications (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Cellular and Molecular Neuroscience (1.2k citations), Human-Computer Interaction (87 citations), Accounting (119 citations) and Behavioral Neuroscience (36 citations). Jonathan C. Kao has collaborated with scholars based in United States, Brazil and Russia. Frequent co-authors include Krishna V. Shenoy, Paul Nuyujukian, Sergey D. Stavisky, Stephen I. Ryu, Stephen I. Ryu, Joline M. Fan, David Sussillo, Matthew T. Kaufman, Mark M. Churchland and John P. Cunningham. Their work appears in journals such as Journal of Neural Engineering, Journal of Neuroscience, Nature Communications, Scientific Reports and Nature.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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