2022
GABAergic CA1 neurons are more stable following context changes than glutamatergic cells
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Scientific Reports
Schuette PJ*, Ikebara JM*, Maesta-Pereira S, Torossian A, Sethi E, Kihara AH, Kao JC, Reis FMCV, Adhikari A
2021
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks
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supp:
code:
NeurIPS
McMahan B, Kleinman M, Kao JC
A mechanistic multi-area recurrent network model of decision-making
pdf:
supp:
NeurIPS
Kleinman M, Chandrasekaran C*, Kao JC*
Dorsal premammillary projection to periaqueductal gray controls escape vigor from innate and conditioned threats.
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eLife
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
Redundant information neural estimation
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Entropy
Kleinman M, Achille A, Soatto S, Kao JC
Dorsal periaqueductal gray ensembles represent approach and avoidance states
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eLife
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**
An artificial intelligence that increases simulated brain-computer interface performance
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supp:
Journal of Neural Engineering
Olsen S*, Zhang J*, Liang K, Lam M, Riaz U, Kao JC
Shared dorsal periaqueductal gray activation patterns during exposure to innate and conditioned threats
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The Journal of Neuroscience
Reis FMCV*, Liu J*, Schuette PJ, Lee JY, Maesta-Pereira S, Chakerian M, Wang W, Canteras NS, Kao JC**, Adhikari A**
Coordination of escape and spatial navigation circuits orchestrates versatile flight from threats
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Neuron
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
Measurement, manipulation and modeling of brain-wide neural population dynamics
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Nature Communications
Shenoy KV, Kao JC
Usable information and evolution of optimal representations during training
International Conference on Learning Representations (ICLR)
Kleinman M, Achille A, Idnani D, Kao JC
Redundant Information Neural Estimation
International Conference on Learning Representations (ICLR) Workshop on Neural Compressions
Kleinman M, Achille A, Soatto S, Kao JC
2020
Long-term characterization of hippocampal remapping during contextual fear acquisition and extinction
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The Journal of Neuroscience
Schuette PJ*, Reis FMCV*, Maesta-Pereira S, Chakerian M, Torossian A, Blair GJ, Wang W, Blair HT, Fanselow MS, Kao JC**, Adhikari A**
Structure in neural activity during observed and executed movements is shared at the neural population level, not in single neurons
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Cell Reports
Jiang X, Saggar H, Ryu SI, Shenoy KV, Kao JC
A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces
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Nature Biomedical Engineering
Nason SR, Vaskov AK, Willsey MS, Welle EJ, An H, Vu PP, Bullard AJ, Nu CS, Kao JC, Shenoy KV, Jang T, Kim H-S, Blaauw D, Patil PG, Chestek CA
Usable information and evolution of optimal representations during training
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Neural Information Processing Systems (NeurIPS) workshop SRVHM
Kleinman M, Idnani D, Achille A, Kao JC
Learning robust representations with score invariant learning
pdf:
International Conference on Machine Learning (ICML) workshops UDL and BIG
Idnani D, Kao JC
2019
Deep learning neural encoders for motor cortex
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supp:
IEEE Transactions on Biomedical Engineering
Liang K, Kao JC
Considerations for using recurrent neural networks to probe neural dynamics
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Journal of Neurophysiology
Kao JC
A multi-stage recurrent neural network better describes decision-related activity in dorsal premotor cortex
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Conference on Cognitive Computational Neuroscience (Berlin, Germany)
Kleinman MJ, Chandramouli C, Kao JC
2018
Latent factors and dynamics in motor cortex and their application to brain-machine interfaces
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The Journal of Neuroscience
Pandarinath C, Ames KC, Russo AA, Farshchian A, Miller LE, Dyer EL, Kao, JC
Single neuron firing rate statistics in motor cortex during execution and observation of movement
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IEEE Engineering in Medicine and Biology Conference (EMBC) (Honolulu, Hawaii)
Jiang X, Ryu SI, Shenoy KV, Kao JC
Pre-UCLA (PhD/postdoc) work
Decoding and perturbing decision states in real time
Nature, 2021.
Peixoto D*, Verhein JR*, Kiani R, Kao JC, Nuyujukian P, Chandrasekaran C, Brown J, Fong S, Ryu SI, Shenoy KV, Newsome WT
Inferring single-trial neural population dynamics using sequential auto-encoders
Nature Methods, 2018.
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
Augmenting intracortical brain-machine interface with neurally driven error detectors
Journal of Neural Engineering, 2017.
Even-Chen N, Stavisky SD, Kao JC, Ryu SI, Shenoy KV
Leveraging neural dynamics to extend functional lifetime of brain-machine interfaces
Scientific Reports, 2017.
Kao JC, Ryu SI, Shenoy KV
Stavisky SD, Kao JC, Ryu SI, Shenoy KV
A high-performance neural prosthesis incorporating discrete state selection with hidden Markov models
IEEE Transactions on Biomedical Engineering, 2017.
Kao JC*, Nuyujukian P*, Ryu SI, Shenoy KV
Trial-by-trial motor cortical correlates of a rapidly adapting visuomotor internal model
Journal of Neuroscience, 2017.
Stavisky SD, Kao JC, Ryu SI, Shenoy KV
A non-human primate brain computer typing interface
Proceedings of the IEEE, 2017.
Nuyujukian P, Kao JC, Ryu SI, Shenoy KV
The need for calcium-based imaging in nonhuman primates; new neuroscience and brain-machine interfaces
Experimental Neurology, 2017.
O'Shea DJ, Trautmann E, Stavisky SD, Kao JC, Sahani M, Ryu SI, Deisseroth K, Shenoy KV
Feasibility analysis of genetically-encoded calcium indicators as a neural signal source for all-optical brain-machine interfaces
IEEE Neural Engineering (NER) (Shanghai, China), 2017.
Sun X, Kao JC, Marshel JH, Ryu SI, Shenoy KV
Making brain-machine interfaces robust to future neural variability
Nature Communications, 2016.
Sussillo D*, Stavisky SD*, Kao JC* (*co-first author), Ryu SI, Shenoy KV
Single-trial dynamics of motor cortex and their applications to brain-machine interfaces
Nature Communications, 2015.
Kao JC, Nuyujukian P, Ryu SI, Churchland MM, Cunningham JP, Shenoy KV
A high performing brain-machine interface driven by low-frequency local field potentials alone and together with spikes
Journal of Neural Engineering, 2015.
Stavisky SD, Kao JC, Nuyujukian P, Ryu SI, Shenoy KV
A high-performance keyboard neural prosthesis enabled by task optimization
IEEE Transactions on Biomedical Engineering, 2015.
Nuyujukian P, Fan JM, Kao JC, Ryu SI, Shenoy KV
Leveraging historical knowledge of neural dynamics to rescue decoder performance as neural channels are lost; decoder hysteresis
IEEE Engineering in Medicine and Biology Conference (EMBC) (Milan, Italy), 2015.
Kao JC, Ryu SI, Shenoy KV
An auto-correcting brain machine interface; error detection using spiking neuronal activity in the motor cortex
IEEE Engineering in Medicine and Biology Conference (EMBC) (Milan, Italy), 2015.
Even-Chen N, Stavisky S, Kao JC, Ryu SI, Shenoy KV
System identification of brain-machine interface control using a cursor jump perturbation
IEEE Neural Engineering (NER) (Montpellier, France), 2015.
Stavisky SD*, Kao JC*, Sorokin J, Ryu SI, Shenoy KV
Performance sustaining intracortical neural prostheses
Journal of Neural Engineering, 2014.
Nuyujukian P, Kao JC, Fan JM, Stavisky S, Ryu SI, Shenoy KV
Information systems opportunities in brain-machine interface decoders
Proceedings of the IEEE, 2014.
Kao JC, Stavisky SD, Sussillo D, Nuyujukian P, Shenoy KV
Intention estimation in brain machine interfaces
Journal of Neural Engineering, 2014.
Fan JM, Nuyujukian P, Kao JC, Chestek CA, Ryu SI, Shenoy KV
Hybrid decoding of both spike and low-frequency local field potentials for brain-machine interfaces
IEEE Engineering in Medicine and Biology Conference (EMBC) (Chicago, Illinois), 2014.
Stavisky SD, Kao JC, Nuyujukian P, Ryu SI, Shenoy KV
Investigating the role of firing-rate normalization and dimensionality reduction on brain-machine interface robustness
IEEE Engineering in Medicine and Biology Conference (EMBC) (Osaka, Japan), 2013.
Kao JC, Nuyujukian P, Stavisky SD, Ryu SI, Ganguli S, Shenoy KV
A high-performance neural prosthesis enabled by control algorithm design
Nature Neuroscience, 2012.
Gilja V*, Nuyujukian P*, Chestek CA, Cunningham JP, Yu BM, Fan JM, Churchland MM, Kaufman MT, Kao JC, Ryu SI, Shenoy KV
A recurrent neural network for closed-loop intracortical brain-machine interface decoders
Journal of Neural Engineering, 2012.
Sussillo D, Nuyujukian P, Fan JM, Kao JC, Stavisky SD, Ryu SI, Shenoy KV