Spike sorting by stochastic simulation

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 19, Issue 3, 2011, Pages 249-259

  Ge, Di ^a   Le Carpentier, Eric ^b   Idier, Jérôme ^b   Farina, Dario ^c  

^a Glaizer Group   (France)

^b ECOLE CENTRALE DE NANTES   (France)

^c UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

Bayesian model; intramuscular EMG decomposition; Markov chain Monte Carlo; minimum mean square error (MMSE) estimation

Indexed keywords

ACTION POTENTIALS; AUTOMATIC DECOMPOSITION; BAYESIAN MODEL; COMPLEX SIGNAL; CONVERGENCE PROPERTIES; EMG SIGNAL; INTRAMUSCULAR EMG DECOMPOSITION; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE CARLO SIMULATION; MAXIMUM A POSTERIORI; MINIMUM MEAN-SQUARE ERROR ESTIMATORS; MINIMUM MEAN-SQUARE-ERROR ESTIMATIONS; MULTI-UNIT RECORDING; SEMI-AUTOMATIC PROCEDURES; SPIKE IDENTIFICATION; SPIKE TRAIN; SPIKE-SORTING; STOCHASTIC SIMULATIONS;

BAYESIAN NETWORKS; ELECTROPHYSIOLOGY; ESTIMATION; MARKOV PROCESSES; MEAN SQUARE ERROR; MONTE CARLO METHODS; STOCHASTIC MODELS;

SIGNAL PROCESSING;

ADULT; ALGORITHM; ARTICLE; BAYES THEOREM; COMPUTER SIMULATION; ELECTROMYOGRAPHY; EVOKED RESPONSE; HUMAN; INSTRUMENTATION; MALE; MONTE CARLO METHOD; PHYSIOLOGY; PROBABILITY; REPRODUCIBILITY; SIGNAL PROCESSING; SKELETAL MUSCLE; STATISTICAL MODEL; STATISTICS;

ADULT; ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; ELECTROMYOGRAPHY; EVOKED POTENTIALS; HUMANS; MALE; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; MUSCLE, SKELETAL; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; STOCHASTIC PROCESSES; YOUNG ADULT;

EID: 79958724201     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2011.2112780     Document Type: Article

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