Departmental Papers (BE)
Document Type
Journal Article
Date of this Version
April 2004
Abstract
We present a novel model for the mammalian retina and analyze its behavior. Our outer retina model performs bandpass spatiotemporal filtering. It is comprised of two reciprocally connected resistive grids that model the cone and horizontal cell syncytia. We show analytically that its sensitivity is proportional to the space-constant-ratio of the two grids while its half-max response is set by the local average intensity. Thus, this outer retina model realizes luminance adaptation. Our inner retina model performs high-pass temporal filtering. It features slow negative feedback whose strength is modulated by a locally computed measure of temporal contrast, modeling two kinds of amacrine cells, one narrow-field, the other wide-field.We show analytically that, when the input is spectrally pure, the corner-frequency tracks the input frequency. But when the input is broadband, the corner frequency is proportional to contrast. Thus, this inner retina model realizes temporal frequency adaptation as well as contrast gain control.We present CMOS circuit designs for our retina model in this paper as well. Experimental measurements from the fabricated chip, and validation of our analytical results, are presented in the companion paper [Zaghloul and Boahen (2004)].
Keywords
adaptive circuits, neural systems, neuromorphic engineering, prosthetics, vision
Recommended Citation
Zaghloul, K. A., & Boahen, K. A. (2004). Optic Nerve Signals in a Neuromorphic Chip I: Outer and Inner Retina Models. Retrieved from https://repository.upenn.edu/be_papers/14
Date Posted: 09 November 2004
This document has been peer reviewed.
Comments
Copyright 2004 IEEE. Reprinted from IEEE Transactions on Biomedical Engineering, Volume 51, Issue 4, April 2004, pages 657-666.
Publisher URL: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isNumber=28546&puNumber=10
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