Identification of functional synaptic plasticity from spiking activities using nonlinear dynamical modeling

Journal of Neuroscience Methods

Volumn 244, Issue , 2015, Pages 123-135

  Song, Dong ^a   Chan, Rosa H M ^b   Robinson, Brian S ^a   Marmarelis, Vasilis Z ^a   Opris, Ioan ^c   Hampson, Robert E ^c   Deadwyler, Sam A ^c   Berger, Theodore W ^a  

^a University of Southern California   (United States)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c WAKE FOREST SCHOOL OF MEDICINE   (United States)

Author keywords

Learning rule; Spatio temporal pattern; Spike; Spike timing dependent plasticity

Indexed keywords

ACTION POTENTIAL; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; CYTOLOGY; HIPPOCAMPUS; NERVE CELL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; NONLINEAR SYSTEM; PHYSIOLOGY;

ACTION POTENTIALS; ANIMALS; COMPUTER SIMULATION; HIPPOCAMPUS; MODELS, NEUROLOGICAL; NERVE NET; NEURONAL PLASTICITY; NEURONS; NONLINEAR DYNAMICS;

EID: 84939964839     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2014.09.023     Document Type: Article

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