Object perception using biologically realistic

We propose a binding-by-synchrony model that achieves visual object perception by binding stimuli with memory. We use a novel approach that is faster and more biologically plausible than tradi-tional binding models. Our model uses two stages of binding to achieve perception. First, object components are segmented us-ing neural spike synchrony. Then, groups of synchronized neu-rons are used in a higher stage of processing where they are matched against memory. Neurons representing similar object parts between the stimuli and memory will begin to oscillate. An object is perceived when enough neurons from the memory repre-sentation of the object are oscillating in conjunction with the input