Neural circuits for programmable analog MOS VLSI implementation

Author

Salam, Fathi M A ; Wang, Yiwen

Author_Institution

Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA

fYear

1989

fDate

14-16 Aug 1989

Firstpage

240

Abstract

Neural circuits that have the same dynamic properties as gradient continuous-time feedback neural nets are presented. These neural circuits are governed by a set of gradient dynamic equations, and in addition they are implementable via all MOS elements. Consequently, these neural circuits are suitable for analog MOS VLSI implementation

Keywords

MOS integrated circuits; VLSI; analogue circuits; feedback; neural nets; dynamic properties; gradient continuous-time feedback neural nets; gradient dynamic equations; implementation; neural circuits; programmable analog; Feedback circuits; Integrated circuit interconnections; Joining processes; MOSFET circuits; Neurofeedback; Neurons; Operational amplifiers; Semiconductor device modeling; Very large scale integration; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on

Conference_Location

Champaign, IL

Type

conf

DOI

10.1109/MWSCAS.1989.101838

Filename

101838

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1963069