DocumentCode
423987
Title
CHIMERA: creating a new generation chip by brain guidance
Author
Taylor, J.G.
Author_Institution
Dept. of Math., King´´s Coll., London, WC, UK
Volume
3
fYear
2004
fDate
25-29 July 2004
Firstpage
1989
Abstract
We present an outline for an adaptive chip architecture, based on general principles of global brain processing. The chip composed of sets of single neurons, which are initially grouped into columns, and these further grouped into modules. The overall architecture of the chip is based on the attention control system of the brain, together with its division into posterior low-level processing and classifying modules (of SOM type) and high-level cognitive modules (of recurrent type). Various balances and neuron complexity is discussed, as further aspects of the processing styles to be used (causal learning laws, salience maps and emotionality, working memory structures, inhibitory competition, neuromodulators).
Keywords
adaptive systems; brain; learning (artificial intelligence); neural chips; recurrent neural nets; self-organising feature maps; CHIMERA chip; adaptive chip architecture; brain guidance; control system; global brain processing; high level cognitive modules; learning laws; neuromodulators; neuron complexity; posterior low level processing; recurrent neural net; self organising map; Adaptive control; Concurrent computing; Control systems; Humans; Intelligent robots; Neurons; Pressure control; Real time systems; Speech; Synchronization;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1380920
Filename
1380920
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