On the use of dynamic Bayesian networks in reconstructing functional neuronal networks from spike train ensembles

Neural Computation

Volumn 22, Issue 1, 2010, Pages 158-189

  Eldawlatly, Seif ^a   Zhou, Yang ^a   Jin, Rong ^a   Oweiss, Karim G ^b  

^a Michigan State University   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BRAIN CORTEX; COMPUTER SIMULATION; MATHEMATICAL COMPUTING; MATHEMATICAL PHENOMENA; NERVE CELL; NERVE CELL NETWORK; NERVE TRACT; NONLINEAR SYSTEM; PHYSIOLOGY; POISSON DISTRIBUTION; SIGNAL PROCESSING; SYNAPSE; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ALGORITHMS; BAYES THEOREM; CEREBRAL CORTEX; COMPUTER SIMULATION; MATHEMATICAL COMPUTING; MATHEMATICAL CONCEPTS; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURAL PATHWAYS; NEURONS; NONLINEAR DYNAMICS; POISSON DISTRIBUTION; SIGNAL PROCESSING, COMPUTER-ASSISTED; SYNAPSES; SYNAPTIC TRANSMISSION;

EID: 77649241232     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2009.11-08-900     Document Type: Letter

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