Title :
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
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;
Conference_Titel :
Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
Conference_Location :
Champaign, IL
DOI :
10.1109/MWSCAS.1989.101838
