A mathematical model of integration field beyond receptive field of cortical neuron

A network model of the receptive field (RF), consisting of neurons and interactive columns, was proposed to simulate the modulatory effects originating from regions beyond the classical receptive field (CRF). In this model, the neuron is considered as a fundamental unit, which is constituted with a linear filter and a nonlinear output function. A column is composed of interactive neurons with spatially overlapped receptive fields, and the network consists of multi interactive columns. This network model simulated the integrative tuning curves of the integration field (IF) and demonstrated the functional roles of the modulation in image processing.