Revealing ensemble state transition patterns in multi-electrode neuronal recordings using hidden Markov models

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 19, Issue 4, 2011, Pages 345-355

  Xydas, Dimitris ^a   Downes, Julia H ^a   Spencer, Matthew C ^a   Hammond, Mark W ^a   Nasuto, Slawomir J ^a   Whalley, Benjamin J ^a   Becerra, Victor M ^a   Warwick, Kevin ^a  

^a UNIVERSITY OF READING   (United Kingdom)

Author keywords

Cultured neuronal networks; hidden Markov models; multi channel recordings; neuronal state transitions

Indexed keywords

COMPUTATIONAL CAPACITY; CULTURED NEURONAL NETWORKS; MESOSCOPIC SCALE; MULTI-CHANNEL RECORDINGS; MULTI-CHANNEL SPIKE TRAIN; MULTI-ELECTRODE; NEURONAL ACTIVITIES; NEURONAL DYNAMICS; OPTIMAL CHOICE; SPATIOTEMPORAL PATTERNS; STATE TRANSITIONS;

NEURAL NETWORKS;

HIDDEN MARKOV MODELS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; CELL CULTURE; COMPUTER INTERFACE; DECISION MAKING; ELECTRODE; NERVE CELL; PHYSIOLOGY; PROBABILITY; STATISTICAL MODEL;

ALGORITHMS; CELLS, CULTURED; CHOICE BEHAVIOR; ELECTRODES; MARKOV CHAINS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); NEURONS; USER-COMPUTER INTERFACE;

EID: 80051735795     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2011.2157360     Document Type: Article

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