John S. Choi

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 11

Top Topics

Evoked Potentials

Metric Learning

Mahalanobis Metric

Top Venues

Publications

Venkata S. Aditya Tarigoppula, John S. Choi, John P. Hessburg, David B. McNiel, Brandi T. Marsh, Joseph T. Francis
Primate Motor Cortical Activity Displays Hallmarks of a Temporal Difference Reinforcement Learning Process. NER (2023)
Marko Angjelichinoski, Mohammadreza Soltani, John S. Choi, Bijan Pesaran, Vahid Tarokh
Deep James-Stein Neural Networks For Brain-Computer Interfaces. ICASSP (2020)
John S. Choi, Krishan Kumar, Mohammad Khazali, Katie Wingel, Mahdi Choudhury, Adam S. Charles, Bijan Pesaran
Optimal Adaptive Electrode Selection to Maximize Simultaneously Recorded Neuron Yield. NeurIPS (2020)
Marko Angjelichinoski, John S. Choi, Taposh Banerjee, Bijan Pesaran, Vahid Tarokh
Cross-subject Decoding of Eye Movement Goals from Local Field Potentials. CoRR (2019)
Marko Angjelichinoski, Taposh Banerjee, John S. Choi, Bijan Pesaran, Vahid Tarokh
Minimax-optimal decoding of movement goals from local field potentials using complex spectral features. CoRR (2019)
Jessica E. Kleinbart, Amy L. Orsborn, John S. Choi, Charles Wang, Shaoyu Qiao, Jonathan Viventi, Bijan Pesaran
A Modular Implant System for Multimodal Recording and Manipulation of the Primate Brain. EMBC (2018)
Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh
Classification of Local Field Potentials using Gaussian Sequence Model. SSP (2018)
Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh
Wavelet Shrinkage and Thresholding Based Robust Classification for Brain-Computer Interface. ICASSP (2018)
John S. Choi, Vasily Goncharov, Jessica E. Kleinbart, Amy L. Orsborn, Bijan Pesaran
Monkey-MIMMS: Towards Automated Cellular Resolution Large- Scale Two-Photon Microscopy In The Awake Macaque Monkey. EMBC (2018)
Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh
Classification of Local Field Potentials using Gaussian Sequence Model. CoRR (2017)
David B. McNiel, John S. Choi, John P. Hessburg, Joseph T. Francis
Reward value is encoded in primary somatosensory cortex and can be decoded from neural activity during performance of a psychophysical task. EMBC (2016)
Lin Li, Austin J. Brockmeier, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control. Comput. Intell. Neurosci. 2014 (2014)
Austin J. Brockmeier, John S. Choi, Evan G. Kriminger, Joseph T. Francis, José C. Príncipe
Neural Decoding with Kernel-Based Metric Learning. Neural Comput. 26 (6) (2014)
Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo, Matthew S. Emigh, Jihye Bae, John S. Choi, Joseph T. Francis, José C. Príncipe
Information-theoretic metric learning: 2-D linear projections of neural data for visualization. EMBC (2013)
Austin J. Brockmeier, John S. Choi, Matthew S. Emigh, Lin Li, Joseph T. Francis, José C. Príncipe
Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex. EMBC (2012)
Lin Li, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
Decoding stimuli from multi-source neural responses. EMBC (2012)
Austin J. Brockmeier, John S. Choi, Marcello M. DiStasio, Joseph T. Francis, José C. Príncipe
Optimizing microstimulation using a reinforcement learning framework. EMBC (2011)
Sohan Seth, Austin J. Brockmeier, John S. Choi, Mulugeta Semework, Joseph T. Francis, José C. Príncipe
Evaluating dependence in spike train metric spaces. IJCNN (2011)
Lin Li, Il Memming Park, Sohan Seth, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS). MLSP (2011)
Sohan Seth, Il Memming Park, Austin J. Brockmeier, Mulugeta Semework, John S. Choi, Joseph T. Francis, José Carlos Príncipe
A novel family of non-parametric cumulative based divergences for point processes. NIPS (2010)