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
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;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.287152
