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 :
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