Publications

Reciprocal reward influence encourages cooperation from self-interested agents

Zhou JL, Hong W, Kao JC

NeurIPS, 2024   Article

Volatile working memory representations crystallize with practice

Bellafard A, Namvar G, Kao JC, Vaziri A, Golshani P

Nature, 2024   Article

Control of feeding by a bottom up midbrain-subthalamic pathway

Reis FMCV, Maesta-Pereira S, Ollivier M, Schuette PJ, Sethi E, Miranda BA, Iniguez E, Chakerian M, Vaughn E, Sehgal M, Nguyen DCT, Yuan FTH, Torossian A, Ikebara JM, Kihara AH, Silva AJ, Kao JC, Khakh BS, Adhikari A

Nature Communications, 2024   Article

A cortical information bottleneck during decision-making

Kleinman M, Wang T, Xiao D, Feghhi E, Lee K, Carr N, Li Y, Hadidi N, Chandrasekaran C*, Kao JC*

eLife, 2023   Article

A pilot study of closed-loop neuromodulation for treatment-resistant post-traumatic stress disorder

Gill JL*, Schneiders JA*, Stangl M, Aghajan ZM, Vallejo M, Hiller S, Topalovic U, Inman CS, Villaroman D, Bari A, Adhikari A, Rao, VR, Fanselow MS, Craske MG, Krahl SE, Chen JWY, Vick M, Hasulak NR, Kao, JC, Koek RJ, Suthana N**, Langevin JP**

Nature Communications, 2023   Article

GABAergic CA1 neurons are more stable following context changes than glutamatergic cells

Schuette PJ*, Ikebara JM*, Maesta-Pereira S, Torossian A, Sethi E, Kihara AH, Kao JC, Reis FMCV, Adhikari A

Scientific Reports, 2022   Article | PDF

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

McMahan B, Kleinman M, Kao JC

NeurIPS, 2021   Paper | PDF | Supplement | Code

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

Kleinman M, Chandrasekaran C*, Kao JC*

NeurIPS, 2021    Paper | PDF | Supplement

Dorsal premammillary projection to periaqueductal gray controls escape vigor from innate and conditioned threats

Wang W*, Schuette PJ*, La-Vu MQ, Torossian A, Tobias BC, Ceko M, Kragel P, Reis FMCV, Ji S, Sehgal M, Maesta-Pereira S, Chakerian M, Silva AJ, Canteras NS, Wager T, Kao JC, Adhikari A

eLife, 2021    Article | PDF

Redundant information neural estimation

Kleinman M, Achille A, Soatto S, Kao JC

Entropy, 2021    Article | PDF

Dorsal periaqueductal gray ensembles represent approach and avoidance states

Reis FMCV*, Lee JY*, Maesta-Pereira S, Schuette PJ, Chakerian M, Liu J, La-Vu MQ, Tobias BC, Ikebara JM, Kihara AH, Canteras NS, Kao JC**, Adhikari A**

eLife, 2021    Article | PDF

An artificial intelligence that increases simulated brain-computer interface performance 

Olsen S*, Zhang J*, Liang K, Lam M, Riaz U, Kao JC

Journal of Neural Engineering, 2021    Article | PDF | Supplement

Shared dorsal periaqueductal gray activation patterns during exposure to innate and conditioned threats 

Reis FMCV*, Liu J*, Schuette PJ, Lee JY, Maesta-Pereira S, Chakerian M, Wang W, Canteras NS, Kao JC**, Adhikari A**

Journal of Neural Engineering, 2021    Article | PDF

Coordination of escape and spatial navigation circuits orchestrates versatile flight from threats

Wang W*, Schuette PJ*, Nagai J, Tobias BC, Reis FMCV, Ji S, de Lima MAX, La-Vu MQ, Maesta-Pereira S, Chakerian M, Leonard SJ, Lin L, Severino AL, Cahill CM, Canteras NS, Khakh BS, Kao JC, Adhikari A

Journal of Neural Engineering, 2021    Article | PDF | Supplement

Measurement, manipulation and modeling of brain-wide neural population dynamics

Shenoy KV, Kao JC

Nature Communications, 2021    Article | PDF

Usable information and evolution of optimal representations during training

Kleinman M, Achille A, Idnani D, Kao JC

International Conference on Learning Representations (ICLR), 2021   Paper

Redundant Information Neural Estimation

Kleinman M, Achille A, Soatto S, Kao JC

ICLR Workshop on Neural Compressions, 2021    Paper

Usable information and evolution of optimal representations during training

Kleinman M, Idnani D, Achille A, Kao JC

SRVHM @ Neural Information Processing Systems (NeurIPS) workshop, 2020    Paper | PDF

Learning robust representations with score invariant learning

Idnani D, Kao JC

UDL and BIG @ International Conference on Machine Learning (ICML) workshops, 2020     Paper | PDF

Deep learning neural encoders for motor cortex

Liang K, Kao JC

IEEE Transactions on Biomedical Engineering, 2019     Article | PDF | Supplement

Considerations for using recurrent neural networks to probe neural dynamics

Kao JC

Journal of Neurophysiology, 2019     Article | PDF

A multi-stage recurrent neural network better describes decision-related activity in dorsal premotor cortex

Kleinman MJ, Chandramouli C, Kao JC

Conference on Cognitive Computational Neuroscience (Berlin, Germany), 2019     Paper | PDF

Latent factors and dynamics in motor cortex and their application to brain-machine interfaces

Pandarinath C, Ames KC, Russo AA, Farshchian A, Miller LE, Dyer EL, Kao, JC

The Journal of Neuroscience, 2019     Article | PDF

Inferring single-trial neural population dynamics using sequential auto-encoders

Pandarinath C, O’Shea DJ, Collins J, Jozefowicz R, Stavisky SD, Kao JC, Trautmann EM, Kaufman MT, Ryu SI, Hochberg LR, Henderson JM, Shenoy KV, Abbott LF, Sussillo D

Nature Methods, 2018     Article

Augmenting intracortical brain-machine interface with neurally driven error detectors

Even-Chen N, Stavisky SD, Kao JC, Ryu SI, Shenoy KV

Journal of Neural Engineering, 2017     Article 

Leveraging neural dynamics to extend functional lifetime of brain-machine interfaces

Kao JC, Ryu SI, Shenoy KV

Scientific Reports, 2017     Article 

Motor cortical visuomotor feedback activity is initially isolated from downstream targets in output-null neural state space dimensions

Stavisky SD, Kao JC, Ryu SI, Shenoy KV

Scientific Reports, 2017     Article

A high-performance neural prosthesis incorporating discrete state selection with hidden Markov models

Kao JC*, Nuyujukian P*, Ryu SI, Shenoy KV

IEEE Transactions on Biomedical Engineering, 2017     Article

Trial-by-trial motor cortical correlates of a rapidly adapting visuomotor internal model

Stavisky SD, Kao JC, Ryu SI, Shenoy KV

Journal of Neuroscience, 2017     Article

A non-human primate brain computer typing interface

Nuyujukian P, Kao JC, Ryu SI, Shenoy KV

Proceedings of the IEEE, 2017     Article

The need for calcium-based imaging in nonhuman primates; new neuroscience and brain-machine interfaces

O'Shea DJ, Trautmann E, Stavisky SD, Kao JC, Sahani M, Ryu SI, Deisseroth K, Shenoy KV

Experimental Neurology, 2017    Article

Feasibility analysis of genetically-encoded calcium indicators as a neural signal source for all-optical brain-machine interfaces

Sun X, Kao JC, Marshel JH, Ryu SI, Shenoy KV

IEEE Neural Engineering (NER) (Shanghai, China), 2017     Paper

Making brain-machine interfaces robust to future neural variability

Sussillo D*, Stavisky SD*, Kao JC* (*co-first author), Ryu SI, Shenoy KV

Nature Communications, 2016     Article

Single-trial dynamics of motor cortex and their applications to brain-machine interfaces

Kao JC, Nuyujukian P, Ryu SI, Churchland MM, Cunningham JP, Shenoy KV

Nature Communications, 2015     Article

A high performing brain-machine interface driven by low-frequency local field potentials alone and together with spikes

Stavisky SD, Kao JC, Nuyujukian P, Ryu SI, Shenoy KV

Journal of Neural Engineering, 2015     Article

A high-performance keyboard neural prosthesis enabled by task optimization

Nuyujukian P, Fan JM, Kao JC, Ryu SI, Shenoy KV

IEEE Transactions on Biomedical Engineering, 2015    Article

Leveraging historical knowledge of neural dynamics to rescue decoder performance as neural channels are lost; decoder hysteresis

Kao JC, Ryu SI, Shenoy KV

IEEE Engineering in Medicine and Biology Conference (EMBC) (Milan, Italy), 2015    Paper

An auto-correcting brain machine interface; error detection using spiking neuronal activity in the motor cortex

Even-Chen N, Stavisky S, Kao JC, Ryu SI, Shenoy KV

IEEE Engineering in Medicine and Biology Conference (EMBC) (Milan, Italy), 2015    Paper

System identification of brain-machine interface control using a cursor jump perturbation

Stavisky SD*, Kao JC*, Sorokin J, Ryu SI, Shenoy KV

IEEE Neural Engineering (NER) (Montpellier, France), 2015    Paper

Performance sustaining intracortical neural prostheses

Nuyujukian P, Kao JC, Fan JM, Stavisky S, Ryu SI, Shenoy KV

Journal of Neural Engineering, 2014    Article

Information systems opportunities in brain-machine interface decoders

Kao JC, Stavisky SD, Sussillo D, Nuyujukian P, Shenoy KV

Proceedings of the IEEE, 2014     Article

Intention estimation in brain machine interfaces

Fan JM, Nuyujukian P, Kao JC, Chestek CA, Ryu SI, Shenoy KV

Journal of Neural Engineering, 2014     Article

Hybrid decoding of both spike and low-frequency local field potentials for brain-machine interfaces

Stavisky SD, Kao JC, Nuyujukian P, Ryu SI, Shenoy KV

IEEE Engineering in Medicine and Biology Conference (EMBC) (Chicago, Illinois), 2014     Paper

Investigating the role of firing-rate normalization and dimensionality reduction on brain-machine interface robustness

Kao JC, Nuyujukian P, Stavisky SD, Ryu SI, Ganguli S, Shenoy KV

IEEE Engineering in Medicine and Biology Conference (EMBC) (Osaka, Japan), 2013     Paper

A high-performance neural prosthesis enabled by control algorithm design

Gilja V*, Nuyujukian P*, Chestek CA, Cunningham JP, Yu BM, Fan JM, Churchland MM, Kaufman MT, Kao JC, Ryu SI, Shenoy KV

Nature Neuroscience, 2012     Article