DocumentCode
1818274
Title
Acousto-conformational phase transitions in the cytoskeleton, adaptive resonance networks with nonlinear synapses and trainable intraneuronal pattern recognition
Author
Samsonovich, A. ; Scott, Alwyn ; Hameroff, Stuart
Author_Institution
Appl. Math. Program, Arizona Univ., Tucson, AZ, USA
Volume
1
fYear
1992
fDate
7-11 Jun 1992
Firstpage
565
Abstract
A possible role for phonon excitations of the cytoskeleton in intraneuronal pattern recognition and learning is discussed. Biophysical support is presented for molecular implementation of adaptive resonant theory neural network principles. Relations between pattern recognition by neural network and symmetry breaking second order phase transitions are discussed
Keywords
neural nets; neurophysiology; pattern recognition; adaptive resonance networks; adaptive resonant theory; cytoskeleton; intraneuronal pattern recognition; learning; nonlinear synapses; phonon excitations; symmetry breaking; Adaptive systems; Biomembranes; Intelligent networks; Mathematics; Neural networks; Neurons; Pattern recognition; Phonons; Proteins; Resonance;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-0559-0
Type
conf
DOI
10.1109/IJCNN.1992.287152
Filename
287152
Link To Document