Constructing precisely computing networks with biophysical spiking neurons

Journal of Neuroscience

Volumn 35, Issue 28, 2015, Pages 10112-10134

  Schwemmer, Michael A ^a   Fairhall, Adrienne L ^c   Denéve, Sophie ^b   Shea Brown, Eric T ^c  

^a OHIO STATE UNIVERSITY   (United States)

^b ECOLE NORMALE SUPÉRIEURE   (France)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Biophysics; Computational model; Decision making; Integration; Spike based computations

Indexed keywords

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOPHYSICS; COMPUTER MODEL; CONNECTOME; CORRELATION COEFFICIENT; DECISION MAKING; ELECTRIC POTENTIAL; EXCITATION; ION CURRENT; MATHEMATICAL MODEL; NERVE CELL; NOISE; OSCILLATION; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SIMULATION; SPIKE WAVE; STIMULUS; SYNAPSE; ACTION POTENTIAL; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; NERVE CELL NETWORK; PHYSIOLOGY;

ACTION POTENTIALS; ANIMALS; BIOPHYSICAL PHENOMENA; BIOPHYSICS; COMPUTER SIMULATION; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURONS; SYNAPSES;

EID: 84937597362     PISSN: 02706474     EISSN: 15292401     Source Type: Journal    
DOI: 10.1523/JNEUROSCI.4951-14.2015     Document Type: Article

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