Silicon retina for motion computation

Author

Andreou, Andreas G. ; Strohbehn, Kim ; Jenkins, R.E.

Author_Institution

Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA

fYear

1991

fDate

11-14 Jun 1991

Firstpage

1373

Abstract

An analog VLSI processor for motion computation is presented. It is based on the Hassenstein-Reichardt-Poggio model for information processing in the visual system of the fly. The authors show how neural network models can be mapped on silicon integrated circuits for performing tasks that can not be handled efficiently by digital computing machinery. The design is based on current-mode subthreshold MOS circuits using device-level design and exploiting the translinear property of the MOS transistor. Experimental results from fabricated chips are presented

Keywords

MOS integrated circuits; VLSI; analogue circuits; elemental semiconductors; neural nets; silicon; Hassenstein-Reichardt-Poggio model; Si retina; analog VLSI processor; current-mode subthreshold MOS circuits; device-level design; information processing; motion computation; neural network models; translinear property; visual system; Analog computers; Computer networks; Digital integrated circuits; Information processing; Integrated circuit modeling; Neural networks; Retina; Silicon; Very large scale integration; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1991., IEEE International Sympoisum on

Print_ISBN

0-7803-0050-5

Type

conf

DOI

10.1109/ISCAS.1991.176627

Filename

176627