Liquid state machine built of Hodgkin-Huxley neurons and pattern recognition

Neurocomputing

Volumn 58-60, Issue , 2004, Pages 245-251

  Wojcik, Grzegorz M ^a   Kaminski, Wieslaw A ^a  

^a MARIA CURIE SK ODOWSKA UNIVERSITY   (Poland)

Author keywords

Informational entropy; LSM; Pattern recognition

Indexed keywords

NEURAL NETWORKS; PATTERN RECOGNITION; SIGNAL PROCESSING;

INFORMATIONAL ENTROPY; LIQUID STATE MACHINES;

NEUROLOGY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL ORGAN; CALCULATION; CELL ACTIVITY; CELL STRUCTURE; COMPUTER ANALYSIS; ENTROPY; GEOMETRY; HODGKIN HUXLEY EQUATION; INFORMATION PROCESSING; LIQUID; PATTERN RECOGNITION; PRIORITY JOURNAL; RETINA; VISUAL CORTEX;

EID: 2542500865     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.01.051     Document Type: Article

References (8)

1. Bower J.M. Beeman D. The Book of GENESIS - Exploring Realistic Neural Models with the GEneral NEural SImulation System 1995 Telos New York
2. Gupta A. Wang Y. Markram H. Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex Science 287 2000 273-278
3. Hodgkin A. Huxley A. Currents carried by the sodium and potassium ions through the membrane of the giant axon of loligio J. Physiol. 116 1952 449-472
4. Holden A.V. Tucker J.V. Thompson B.C. Can excitable media be considered as computational systems? Physica D 49 1991 240-246
5. Maass W. Natschlaeger T. Markram H. Real-time computing without stable states: a new framework for neural computation based on perturbations Neural Comput. 14 11 2002 2531-2560
6. C.E. Shannon, A mathematical theory of communication, Bell Systems Tech. J. 27 (1948) 379-423, 623-656.
7. Steuber V. De De Schutter E. Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of Purkinje cell Neurocomputing 38-40 2001 383-388
8. Stuttgart Neural Network Simulator (SNNS). website: http://www-ra.informatik.uni-tuebingen.de/SNNS/