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
Link To Document :
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