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

IEEE International Workshop on Machine Learning for Signal Processing

Volumn , Issue , 2011, Pages

  Li, Lin ^a,b,c,d   Park, Il Memming ^a,b,c,d   Seth, Sohan ^a,b,c,d   Choi, John S ^a,b,c,d   Francis, Joseph T ^a,b,c,d   Sanchez, Justin C ^a,b,c,d   Príncipe, José C ^a,b,c,d  

^a UNIVERSITY OF FLORIDA   (United States)

^b UNIVERSITY OF MIAMI   (United States)

^c SUNY DOWNSTATE MEDICAL CENTER   (United States)

^d POLYTECHNIC UNIVERSITY   (United States)

Author keywords

Adaptive Neural decoder; KLMS; microstimulation; spike train

Indexed keywords

ADAPTIVE NEURAL DECODER; BINNED DATA; BIPHASIC; CURSE OF DIMENSIONALITY; INNER PRODUCT; KLMS; LEAST MEAN SQUARES; MICROSTIMULATION; POINT PROCESS; REPRODUCING KERNEL HILBERT SPACES; SOMATOSENSORY; SPIKE TRAIN; STATISTICAL DESCRIPTIONS;

DECODING; LEARNING ALGORITHMS; LEARNING SYSTEMS; SIGNAL PROCESSING;

VECTOR SPACES;

EID: 82455163776     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2011.6064603     Document Type: Conference Paper

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