Learning rule of homeostatic synaptic scaling: Presynaptic dependent or not

Neural Computation

Volumn 23, Issue 12, 2011, Pages 3145-3161

  Liu, Jian K ^a  

^a CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ANIMAL; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; BRAIN; HUMAN; LEARNING; LETTER; NERVE CELL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; NONLINEAR SYSTEM; PHYSIOLOGY; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; BRAIN; HUMANS; LEARNING; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURONAL PLASTICITY; NEURONS; NONLINEAR DYNAMICS; SYNAPTIC TRANSMISSION;

EID: 84863080527     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00210     Document Type: Letter

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