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This study is focused on the development of the cortex-like visual objectrecognition system. We propose a general framework, which consists of threehierarchical levels (modules). These modules functionally correspond to the V1,V4 and IT areas. Both bottom-up and top-down connections between thehierarchical levels V4 and IT are employed. The higher the degree of matchingbetween the input and the preferred stimulus, the shorter the response time ofthe neuron. Therefore information about a single stimulus is distributed intime and is transmitted by the waves of spikes. The reciprocal connections andwaves of spikes implement predictive coding: an initial hypothesis is generatedon the basis of information delivered by the first wave of spikes and is testedwith the information carried by the consecutive waves. The development isconsidered as extraction and accumulation of features in V4 and objects in IT.Once stored a feature can be disposed, if rarely activated. This cause updateof feature repository. Consequently, objects in IT are also updated. Thisillustrates the growing process and dynamical change of topological structuresof V4, IT and connections between these areas.

A General Framework for Development of the Cortex-like Visual Object  Recognition System: Waves of Spikes, Predictive Coding and Universal  Dictionary of Features