John S. Choi - RankMe

21 papers A* 1B 1Misc 2Journal 5Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Cellular-Resolution Image-Guided Localization in the Primate Brain. EMBC Jacob Stefanowicz, John S. Choi, Katie Wingel, Jarl Haggerty, Adam S. Charles, Bijan Pesaran
2023	—	`conf`	Primate Motor Cortical Activity Displays Hallmarks of a Temporal Difference Reinforcement Learning Process. NER Venkata S. Aditya Tarigoppula, John S. Choi, John P. Hessburg, David B. McNiel, Brandi T. Marsh, Joseph T. Francis
2020	Misc	`conf`	Deep James-Stein Neural Networks For Brain-Computer Interfaces. ICASSP Marko Angjelichinoski, Mohammadreza Soltani, John S. Choi, Bijan Pesaran, Vahid Tarokh
2020	A*	`conf`	Optimal Adaptive Electrode Selection to Maximize Simultaneously Recorded Neuron Yield. NeurIPS John S. Choi, Krishan Kumar, Mohammad Khazali, Katie Wingel, Mahdi Choudhury, Adam S. Charles, Bijan Pesaran
2019	J	`jnl`	Cross-subject Decoding of Eye Movement Goals from Local Field Potentials. CoRR Marko Angjelichinoski, John S. Choi, Taposh Banerjee, Bijan Pesaran, Vahid Tarokh
2019	J	`jnl`	Minimax-optimal decoding of movement goals from local field potentials using complex spectral features. CoRR Marko Angjelichinoski, Taposh Banerjee, John S. Choi, Bijan Pesaran, Vahid Tarokh
2018	—	`conf`	A Modular Implant System for Multimodal Recording and Manipulation of the Primate Brain. EMBC Jessica E. Kleinbart, Amy L. Orsborn, John S. Choi, Charles Wang, Shaoyu Qiao, Jonathan Viventi, Bijan Pesaran
2018	—	`conf`	Classification of Local Field Potentials using Gaussian Sequence Model. SSP Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh
2018	—	`conf`	Monkey-MIMMS: Towards Automated Cellular Resolution Large- Scale Two-Photon Microscopy In The Awake Macaque Monkey. EMBC John S. Choi, Vasily Goncharov, Jessica E. Kleinbart, Amy L. Orsborn, Bijan Pesaran
2018	Misc	`conf`	Wavelet Shrinkage and Thresholding Based Robust Classification for Brain-Computer Interface. ICASSP Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh
2017	J	`jnl`	Classification of Local Field Potentials using Gaussian Sequence Model. CoRR Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh
2016	—	`conf`	Reward value is encoded in primary somatosensory cortex and can be decoded from neural activity during performance of a psychophysical task. EMBC David B. McNiel, John S. Choi, John P. Hessburg, Joseph T. Francis
2014	J	`jnl`	A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control. Comput. Intell. Neurosci. Lin Li, Austin J. Brockmeier, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2014	J	`jnl`	Neural Decoding with Kernel-Based Metric Learning. Neural Comput. Austin J. Brockmeier, John S. Choi, Evan G. Kriminger, Joseph T. Francis, José C. Príncipe
2013	—	`conf`	Information-theoretic metric learning: 2-D linear projections of neural data for visualization. EMBC Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo, Matthew S. Emigh, Jihye Bae, John S. Choi, Joseph T. Francis, José C. Príncipe
2012	—	`conf`	Decoding stimuli from multi-source neural responses. EMBC Lin Li, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2012	—	`conf`	Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex. EMBC Austin J. Brockmeier, John S. Choi, Matthew S. Emigh, Lin Li, Joseph T. Francis, José C. Príncipe
2011	—	`conf`	An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS). MLSP Lin Li, Il Memming Park, Sohan Seth, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2011	B	`conf`	Evaluating dependence in spike train metric spaces. IJCNN Sohan Seth, Austin J. Brockmeier, John S. Choi, Mulugeta Semework, Joseph T. Francis, José C. Príncipe
2011	—	`conf`	Optimizing microstimulation using a reinforcement learning framework. EMBC Austin J. Brockmeier, John S. Choi, Marcello M. DiStasio, Joseph T. Francis, José C. Príncipe
2010	—	`conf`	A novel family of non-parametric cumulative based divergences for point processes. NIPS Sohan Seth, Il Memming Park, Austin J. Brockmeier, Mulugeta Semework, John S. Choi, Joseph T. Francis, José Carlos Príncipe