title: A model for visual image-background discrimination by relative movement.
abstract: Biologically plausible electronic neural network setup for real time processing motion image information was built. Using this setup the first part of the model was examined and real time discrimination of moving object image was realized from complex background in high resolution. Afterimages may play an important role in filtering moving object image and the aperture problem should be separated into two parts: the first part, i.e. the incomplete filtered moving object image, can be better resolved by parallel integration of multi-channel visual information, however, the second part, i.e. the inaccurate measurement results for movement direction, may only get certain compensation by visual integration.
authors: Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China.
authors: H
authors: H
authors: Lu
authors: X
authors: X
authors: Wang
authors: S
authors: S
authors: Liu
authors: M
authors: M
authors: Shi
authors: F
authors: F
authors: Liu
authors: A
authors: A
authors: Guo