The conception of the CNN universal machine has led quite naturally to the invention of the analogic CNN bionic eye (henceforth referred to simply as the bionic eye). the basic idea is to combine the elementary functions, the building blocks, of the retina and other 2 1/2 D sensory organs, algorithmically, in a stored programme of a CNN universal machine, through the use of artificial analogic programmes. the term bionic is defined in a rigorous way: it is a nonlinear, dynamic, spatiotemporal biological model implemented in a stored programme electronic (optoelectronic) device; this device is in our case the analogic CNN universal machine (or chip).
The aim of this paper is to report on this new invention, particularly to electronic and computer engineers, in a tutorial way.
We begin by summarizing (1) the biological aspects of the range of retinal function (the retinal universe), (2) the CNN paradigm and the CNN universal machine architecture and (3) the general principles of retinal modelling in CNN. Next we describe new CNN circuit and template design innovations that can be used to implement physiological functions in the retina and other sensory organs using the CNN universal machine. Finally we show how to combine given retinal functional elements implemented in the CNN universal machine with analogic algorithms to form the bionic retina. the resulting system can be used not only for simulating biological retinal function but also for generating functions that go far beyond biological capabilities. Several bionic retina functions, different topographic modalities and analogic CNN algorithms can then be combined to form the analogic CNN bionic eye. the qualitative aspects of the models, especially the range of dynamics and accuracy considerations in VLSI optoelectronic implementations, are outlined. Finally, application areas of the bionic eye and possibilities of constructing innovative devices based on this invention (such as the bionic eyeglass or the visual mouse) are described.
[1]
Janusz A. Starzyk,et al.
A unified decomposition approach for fault location in large analog circuits
,
1984
.
[2]
Chin-Long Wey,et al.
Fault prediction process for large analogue circuit networks
,
1989
.
[3]
J.W. Bandler,et al.
Fault diagnosis of analog circuits
,
1985,
Proceedings of the IEEE.
[4]
R. Yarlagadda,et al.
Active RC network synthesis using nullators and norators
,
1972
.
[5]
Elisaveta D. Gadzheva,et al.
Nullator-norator approach for diagnosis and fault prediction in analog circuits
,
1994,
Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.