DocumentCode
303283
Title
VLSI design for real-time signal processing based on biologically realistic neural models
Author
Tsai, Richard H. ; Sheu, Bing J. ; Berger, Theodore W.
Author_Institution
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Volume
2
fYear
1996
fDate
3-6 Jun 1996
Firstpage
676
Abstract
The hippocampus region of the brain system performs cognitive functions of learning and memory. A VLSI design of a hippocampal model has been proposed and two mixed analog-digital chips which use analog circuits for parallel computing and digital circuits for interconnection were designed and fabricated by the MOSIS service. The objectives of this research effort is to incorporate adequate biological constraints into the microelectronic chips and systems. (i) to provide a basis for realizing a massively parallel, hardware model with which to study the dynamics of biological neural networks, and (ii) so that the well-known signal processing capabilities of the nervous system can be more readily applied to the solution of real-world problems
Keywords
VLSI; brain models; mixed analogue-digital integrated circuits; neural chips; neurophysiology; physiological models; signal processing; MOSIS service; VLSI design; analog circuits; biologically realistic neural models; brain system; cognitive functions; digital circuits; hippocampus region; learning; memory; microelectronic chips; mixed analog-digital chips; nervous system; parallel computing; real-time signal processing; Analog circuits; Analog-digital conversion; Biological system modeling; Biomedical signal processing; Digital circuits; Hippocampus; Integrated circuit interconnections; Parallel processing; Signal design; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1996., IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-7803-3210-5
Type
conf
DOI
10.1109/ICNN.1996.548977
Filename
548977
Link To Document