John S. Choi

According to our database, John S. Choi authored at least 19 papers between 2010 and 2023.

Collaborative distances:

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

2023

Primate Motor Cortical Activity Displays Hallmarks of a Temporal Difference Reinforcement Learning Process.

Venkata S. Aditya Tarigoppula, John S. Choi, John P. Hessburg, David B. McNiel, Brandi T. Marsh, Joseph T. Francis

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2020

Optimal Adaptive Electrode Selection to Maximize Simultaneously Recorded Neuron Yield.

John S. Choi, Krishan Kumar, Mohammad Khazali, Katie Wingel, Mahdi Choudhury, Adam S. Charles, Bijan Pesaran

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep James-Stein Neural Networks For Brain-Computer Interfaces.

Marko Angjelichinoski, Mohammadreza Soltani, John S. Choi, Bijan Pesaran, Vahid Tarokh

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Cross-subject Decoding of Eye Movement Goals from Local Field Potentials.

Marko Angjelichinoski, John S. Choi, Taposh Banerjee, Bijan Pesaran, Vahid Tarokh

CoRR, 2019

Minimax-optimal decoding of movement goals from local field potentials using complex spectral features.

Marko Angjelichinoski, Taposh Banerjee, John S. Choi, Bijan Pesaran, Vahid Tarokh

CoRR, 2019

2018

Classification of Local Field Potentials using Gaussian Sequence Model.

Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Wavelet Shrinkage and Thresholding Based Robust Classification for Brain-Computer Interface.

Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Modular Implant System for Multimodal Recording and Manipulation of the Primate Brain.

Jessica E. Kleinbart, Amy L. Orsborn, John S. Choi, Charles Wang, Shaoyu Qiao, Jonathan Viventi, Bijan Pesaran

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

Monkey-MIMMS: Towards Automated Cellular Resolution Large- Scale Two-Photon Microscopy In The Awake Macaque Monkey.

John S. Choi, Vasily Goncharov, Jessica E. Kleinbart, Amy L. Orsborn, Bijan Pesaran

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

2016

Reward value is encoded in primary somatosensory cortex and can be decoded from neural activity during performance of a psychophysical task.

David B. McNiel, John S. Choi, John P. Hessburg, Joseph T. Francis

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2014

Neural Decoding with Kernel-Based Metric Learning.

Austin J. Brockmeier, John S. Choi, Evan G. Kriminger, Joseph T. Francis, José C. Príncipe

Neural Comput., 2014

A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control.

Lin Li, Austin J. Brockmeier, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe

Comput. Intell. Neurosci., 2014

2013

Information-theoretic metric learning: 2-D linear projections of neural data for visualization.

Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo, Matthew S. Emigh, Jihye Bae, John S. Choi, Joseph T. Francis, José C. Príncipe

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

2012

Decoding stimuli from multi-source neural responses.

Lin Li, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex.

Austin J. Brockmeier, John S. Choi, Matthew S. Emigh, Lin Li, Joseph T. Francis, José C. Príncipe

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS).

Lin Li, Il Memming Park, Sohan Seth, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Evaluating dependence in spike train metric spaces.

Sohan Seth, Austin J. Brockmeier, John S. Choi, Mulugeta Semework, Joseph T. Francis, José C. Príncipe

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Optimizing microstimulation using a reinforcement learning framework.

Austin J. Brockmeier, John S. Choi, Marcello M. DiStasio, Joseph T. Francis, José C. Príncipe

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

A novel family of non-parametric cumulative based divergences for point processes.

Sohan Seth, Il Memming Park, Austin J. Brockmeier, Mulugeta Semework, John S. Choi, Joseph T. Francis, José Carlos Príncipe

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010