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Monkey models for brain-machine interfaces: The need for maintaining diversity

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, Vol.2011, p.1301-1305

2011

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Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci

IEEE transactions on biomedical engineering, 2019-05, Vol.66 (5), p.1297-1308

2019

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Decoding dexterous finger movements in a neural prosthesis model approaching real-world conditions

IEEE transactions on neural systems and rehabilitation engineering, 2012-11, Vol.20 (6), p.836

2012

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Extraction of Bistable-Percept-Related Features From Local Field Potential by Integration of Local Regression and Common Spatial Patterns

IEEE transactions on biomedical engineering, 2009-08, Vol.56 (8), p.2095-2103

2009

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Relaxation-Based Feature Selection for Single-Trial Decoding of Bistable Perception

IEEE transactions on biomedical engineering, 2009-01, Vol.56 (1), p.101-110

2009

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A Bayesian Clustering Method for Tracking Neural Signals Over Successive Intervals

IEEE transactions on biomedical engineering, 2009-11, Vol.56 (11), p.2649-2659

2009

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Signal nonlinearity in fMRI: a comparison between BOLD and MION

IEEE transactions on medical imaging, 2003-05, Vol.22 (5), p.636-644

2003

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A mobile embedded platform for high performance neural signal computation and communication

2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2015, p.1-4

2015

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In search of more robust decoding algorithms for neural prostheses, a data driven approach

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010-01, Vol.2010, p.4172-4175

2010

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Cognitively driven brain machine control using neural signals in the parietal reach region

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010, Vol.2010, p.3329-3332

2010

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Time robust movement direction decoding in Local Field Potentials using channel ranking

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010-01, Vol.2010, p.4825-4828

2010

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Decoding Stimulus-Reward Pairing From Local Field Potentials Recorded From Monkey Visual Cortex

IEEE transactions on neural networks, 2010-12, Vol.21 (12), p.1892-1902

2010

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Monkey models for brain-machine interfaces: The need for maintaining diversity

Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci

Decoding dexterous finger movements in a neural prosthesis model approaching real-world conditions

Extraction of Bistable-Percept-Related Features From Local Field Potential by Integration of Local Regression and Common Spatial Patterns

Relaxation-Based Feature Selection for Single-Trial Decoding of Bistable Perception

A Bayesian Clustering Method for Tracking Neural Signals Over Successive Intervals

Signal nonlinearity in fMRI: a comparison between BOLD and MION

A mobile embedded platform for high performance neural signal computation and communication

In search of more robust decoding algorithms for neural prostheses, a data driven approach

Cognitively driven brain machine control using neural signals in the parietal reach region

Time robust movement direction decoding in Local Field Potentials using channel ranking

Decoding Stimulus-Reward Pairing From Local Field Potentials Recorded From Monkey Visual Cortex

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