THE ANALOGIC CELLULAR NEURAL-NETWORK AS A BIONIC EYE

Citation
F. Werblin et al., THE ANALOGIC CELLULAR NEURAL-NETWORK AS A BIONIC EYE, International journal of circuit theory and applications, 23(6), 1995, pp. 541-569
Citations number
55
Categorie Soggetti
Engineering, Eletrical & Electronic
ISSN journal
00989886
Volume
23
Issue
6
Year of publication
1995
Pages
541 - 569
Database
ISI
SICI code
0098-9886(1995)23:6<541:TACNAA>2.0.ZU;2-Z
Abstract
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 senso ry organs,, algorithmically, in a stored programme of a CNN universal machine, through the use of artificial analogic programmes, The term b ionic is defined in a rigorous way: it is a nonlinear, dynamic, spatio temporal 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 thi s 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 par adigm and the CNN universal machine architecture and (3) the general p rinciples of retinal modelling in CNN, Next we describe new CNN circui t and template design innovations that can be used to implement physio logical functions in the retina and other sensory organs using the CNN universal machine. Finally we show how to combine given retinal funct ional 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 gene rating functions that go far beyond biological capabilities. Several b ionic retina functions, different topographic modalities and analogic CNN algorithms can then be combined to form the analogic CNN bionic ey e. The qualitative aspects of the models, especially the range of dyna mics and accuracy considerations in VLSI optoelectronic implementation s, are outlined, Finally, application areas of the bionic eye and poss ibilities of constructing innovative devices based on this invention ( such as the bionic eyeglass or the visual mouse) are described.