Neural Comput - Approximate emergent synchrony in spatially coupled spiking neurons with discrete interaction.

Tópicos

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Resumo

Models for perceptual grouping and contour integration are presented. Connection weights depend on distances and angle differences, while neurons evolve following a spiking dynamics (Izhikevich's model in most of the considered cases). Although the studied synapses depend on discrete three-valued functions, simulations display the emergence of approximate synchrony, making these cognitive tasks possible. Noise effects are examined, and the possibility of achieving similar results with a different neuron model is discussed.

Resumo Limpo

model perceptu group contour integr present connect weight depend distanc angl differ neuron evolv follow spike dynam izhikevich model consid case although studi synaps depend discret threevalu function simul display emerg approxim synchroni make cognit task possibl nois effect examin possibl achiev similar result differ neuron model discuss

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