A self-organizing map with homeostatic synaptic scaling

Neurocomputing

Volumn 69, Issue 10-12, 2006, Pages 1183-1186

  Sullivan, Thomas J ^a   de Sa, Virginia R ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Homeostasis; Self organizing map; Synaptic scaling; Weight normalization

Indexed keywords

MATHEMATICAL MODELS; NEURAL NETWORKS; NEUROLOGY; SELF ORGANIZING MAPS;

CORTICAL NEURONS; HEBBIAN LEARNING; HOMEOSTATIC SYNAPTIC SCALING; HOMEOSTATIS; WEIGHT NORMALIZATION;

LEARNING SYSTEMS;

ALGORITHM; ANALYTICAL PARAMETERS; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN CELL; CONTROLLED STUDY; HOMEOSTASIS; LEARNING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL MEMBRANE STEADY POTENTIAL; NERVE CELL PLASTICITY; NERVOUS SYSTEM DEVELOPMENT; PRIORITY JOURNAL; SELF ORGANIZING MAP; SIMULATION; STANDARDIZATION; SYNAPTIC TRANSMISSION; VALIDATION STUDY;

EID: 33646087192     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2005.12.071     Document Type: Article

References (5)

1. Bednar J.A., Kelkar A., and Miikkulainen R. Scaling self-organizing maps to model large cortical networks. Neuroinformatics 2 3 (2004) 275-302
2. Kohonen T. Self-Organizing Maps. third ed. (2001), Springer, Berlin, NY
3. Sirosh J., and Miikkulainen R. Topographic receptive fields and patterned lateral interaction in a self-organizing model of the primary visual cortex. Neural Comput. 9 3 (1997) 577-594
4. T.J. Sullivan, V.R. de Sa, Homeostatic synaptic scaling in self-organizing maps, in: M. Cottrell (Ed.), Workshop on Self-Organizing Maps, Paris, 2005.
5. Turrigiano G.G., and Nelson S.B. Homeostatic plasticity in the developing nervous system. Nat. Rev. Neurosci. 5 (2004) 97-107