Slow stochastic learning with global inhibition: A biological solution to the binary perceptron problem

Neurocomputing

Volumn 58-60, Issue , 2004, Pages 321-326

  Senn, Walter ^a   Fusi, Stefano ^a  

^a UNIVERSITY OF BERN   (Switzerland)

Author keywords

Classification; Learning; Memory; Synaptic plasticity

Indexed keywords

NEUROLOGY; PATTERN RECOGNITION; PLASTIC ADHESIVES; SEPARATION; STOCHASTIC CONTROL SYSTEMS;

FRACTION; STOCHASTIC LEARNING; SYNAPSES;

ARTIFICIAL INTELLIGENCE;

ARTICLE; CONTROLLED STUDY; GEOMETRY; INFORMATION PROCESSING; MATHEMATICAL COMPUTING; NERVE CELL EXCITABILITY; NERVE CELL NETWORK; NERVE CELL PLASTICITY; NERVE CELL STIMULATION; PERCEPTION; POSTSYNAPTIC POTENTIAL; PRESYNAPTIC POTENTIAL; PRIORITY JOURNAL; PROBABILITY; PROBLEM SOLVING; STIMULUS RESPONSE; STOCHASTIC MODEL; SYNAPSE;

EID: 2542500734     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.01.062     Document Type: Article

References (4)

1. Garey M.R. Johnson D.S. Computers and Intractability: A Guide to the Theory of NP-Completeness 1999 Freeman New York
2. Fusi S. Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates Biol. Cybern. 87 2002 459-470
3. Fusi S. Annunziato M. Badoni D. Salamon A. Amit D.J. Spike-driven syn. plasticity: theory, simulation, VLSI impl Neural Comput. 12 2000 2227-2258
4. Petersen C.C.H. Malenka R.C. Nicoll R.A. Hopfield J.J. All-or-none potentiation at CA3-CA1 synapses Proc. Natl. Acad. Sci. 95 1998 4732