A Novelty Detector Using a Network of Integrate and Fire Neurons

Information in the nervous system has often been considered as being represented by simultaneous discharge of a large set of neurons. We propose a learning mechanism for neural information processing in a simulated cortex model. Also, a new paradigm for pattern recognition by oscillatory neural networks is proposed. The relaxation time of the oscillatory networks is used as a criterion for novelty detection.

• Type: Conference
• Year: 1997
• Where: ICANN
• Authors: Tuong Vinh Ho, Jean Rouat
• Keywords: ICANN 1997, Neural Information Processing, Neural Networks, Oscillatory Neural Networks, Simulated Cortex Model