title: A cascade model of information processing and encoding for retinal prosthesis.
abstract: Retinal prosthesis offers a potential treatment for individuals suffering from photoreceptor degeneration diseases. Establishing biological retinal models and simulating how the biological retina convert incoming light signal into spike trains that can be properly decoded by the brain is a key issue. Some retinal models have been presented, ranking from structural models inspired by the layered architecture to functional models originated from a set of specific physiological phenomena. However, Most of these focus on stimulus image compression, edge detection and reconstruction, but do not generate spike trains corresponding to visual image. In this study, based on state-of-the-art retinal physiological mechanism, including effective visual information extraction, static nonlinear rectification of biological systems and neurons Poisson coding, a cascade model of the retina including the out plexiform layer for information processing and the inner plexiform layer for information encoding was brought forward, which integrates both anatomic connections and functional computations of retina. Using MATLAB software, spike trains corresponding to stimulus image were numerically computed by four steps: linear spatiotemporal filtering, static nonlinear rectification, radial sampling and then Poisson spike generation. The simulated results suggested that such a cascade model could recreate visual information processing and encoding functionalities of the retina, which is helpful in developing artificial retina for the retinally blind.
authors.affiliation: Department of Clinical Engineering, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia Autonomous Region, China.
authors.forename: Zhi-Jun
authors.initials: ZJ
authors.lastname: Pei
authors.affiliation: Department of Clinical Engineering, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia Autonomous Region, China.
authors.forename: Guan-Xin
authors.initials: GX
authors.lastname: Gao
authors.affiliation: Department of Clinical Engineering, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia Autonomous Region, China.
authors.forename: Bo
authors.initials: B
authors.lastname: Hao
authors.affiliation: School of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
authors.forename: Qing-Li
authors.identifier: 0000-0002-1851-0354
authors.initials: QL
authors.lastname: Qiao
authors.affiliation: School of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
authors.forename: Hui-Jian
authors.initials: HJ
authors.lastname: Ai
keywords: NSFC grants; Poisson spike generation; contrast gain control; firing rate; linear spatiotemporal filter; nerve regeneration; neural regeneration; photoreceptor degeneration; retinal prosthesis; spike trains; static non-linear rectification; synaptic transmission