Rate coherence and event coherence in the visual cortex: a neuronal model of object recognition

摘要: We propose a function-oriented model of the visual cortex. The addresses an essential task system: to detect and represent objects. These are defined as sets, which reappear in input with invariant inner relations. A network, incorporating idealized description anatomical physiological data, is presented movie showing various moving In course time, result Hebbian plasticity, connection scheme develops embodies its forward lateral connections information necessary perform operations involved object recognition. demonstrate that coherent neural activity can exploit this information. Two types coherence have be distinguished respect. Rate performs invariance association, while event accomplishes segmentation tasks. reproduces explains experimental findings made both recordings from cortex psychophysical studies.