PATTERN SEGMENTATION USING COUPLED NEURAL OSCILLATORS

The generation of oscillations in a biological conductance-based singl e-neuron model and three isolated network-based models is studied usin g computer simulation. The synchronization of oscillations in a linear chain of locally coupled neural oscillators is investigated. Simulati on results for linear chains employing four oscillator models are pres ented and their speed of synchronization is compared. A two-dimensiona l oscillator network that attains feature-linking and pattern segmenta tion through temporal correlations among neural signals is presented. The network is simulated numerically for three oscillator models and t he results are compared.