Artificial Retina Using A Hybrid Neural Network With Spatial Transform Capability
Abstract
This paper covers the design and programming of a hybrid (digital/analog) neural network to function as an artificial retina with the ability to perform a spatial discrete cosine transform. We describe the structure of the circuit, which uses an analog cell that is interlinked using a programmable digital array. The paper is broken into three main parts. First, we present the results of a Matlab simulation. Then we show the circuit simulation in Spice. This is followed by a demonstration of the practical device. This system has intentionally separated components with the specialty analog circuits being separated from the readily available digital field programmable gate array (FPGA) components. Further development includes the use of rapid manufacture-able organic electronics used for the analog components. The planned uses for this platform include crowd development of software that uses the underlying pulse based processing. The development package will include simulators in the form of Matlab and Spice type software platforms.
Keywords
Cite
@article{arxiv.1811.10126,
title = {Artificial Retina Using A Hybrid Neural Network With Spatial Transform Capability},
author = {Richard Wood and Alexander McGlashan and C. B. Moon and W. Y. Kim},
journal= {arXiv preprint arXiv:1811.10126},
year = {2018}
}
Comments
16 pages, 20 figures