Pattern segmentation using coupled neural oscillators Original Research Article

The generation of oscillations in a biological conductance-based single-neuron model and three isolated network-based models is studied using computer simulation. The synchronization of oscillations in a linear chain of locally coupled neural oscillators is investigated. Simulation results for linear chains employing four oscillator models are presented and their speed of synchronization is compared. A two-dimensional oscillator network that attains feature-linking and pattern segmentation through temporal correlations among neural signals is presented. The network is simulated numerically for three oscillator models and the results are compared.