Presentation 1999/10/29
Right-Brain Computing Integrated Circuits for Intelligent Information Processing
Tadashi SHIBATA, Masakazu Yagi, Masayoshi Adachi,
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Abstract(in English) Despite the enormous power of present-day computers, digital systems can not respond to real-world events in real time. Biological systems built with very slow chemical transistors, however, are very fast in such tasks like seeing, recognizing, and taking actions. The paper will discuss what we can learn from biological systems and how we can implement the principle using the state-of-the-art silicon technology. An intelligent LSI system based on the psychological model of a brain is proposed. The system stores the past experience in the non-volatile vast analog memory and recall the-most-similar event to a current input using the association processor working in the analog/digitalmerged decision making principle.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Association Processor / Neuron MOS / Vector Quantization / Motion Picture Compression / CDMA matched filter / Medical Radiograph Analysis / Pattern Recognition
Paper # ICD99-191
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Conference Date 1999/10/29(1days)
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Registration To Integrated Circuits and Devices (ICD)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Right-Brain Computing Integrated Circuits for Intelligent Information Processing
Sub Title (in English)
Keyword(1) Association Processor
Keyword(2) Neuron MOS
Keyword(3) Vector Quantization
Keyword(4) Motion Picture Compression
Keyword(5) CDMA matched filter
Keyword(6) Medical Radiograph Analysis
Keyword(7) Pattern Recognition
1st Author's Name Tadashi SHIBATA
1st Author's Affiliation Department of Frontier Informatics, School of Frontier Science()
2nd Author's Name Masakazu Yagi
2nd Author's Affiliation Department of Information and Communication Engineering
3rd Author's Name Masayoshi Adachi
3rd Author's Affiliation Department of Electronic Engineering The University of Tokyo
Date 1999/10/29
Paper # ICD99-191
Volume (vol) vol.99
Number (no) 399
Page pp.pp.-
#Pages 8
Date of Issue