학술논문
A mathematical model of integration field beyond receptive field of cortical neuron
Document Type
Conference
Author
Source
Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Neural information processing Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on. 4:1694-1698 vol.4 2002
Subject
Language
Abstract
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.