DocumentCode :
1064702
Title :
Machine intelligence-toward an artificial brain
Author :
Conrad, Michael
Author_Institution :
Wayne State Univ., Detroit, MI, USA
Volume :
25
Issue :
11
fYear :
1992
Firstpage :
79
Lastpage :
80
Abstract :
An artificial brain project in which conceptual models are specified algorithmically is discussed. The feature that distinguishes the approach used in this project from connectionist neural models is its vertical abstraction of brain structure and function. The models comprise multiple local networks of neurons, each of which is a complex network of molecular and chemical processes. The memory manipulation system and reference neuron mechanism used in this approach are described. The development of simulation models for the different conceptual components and the assessment of these models are reviewed.
Keywords :
artificial intelligence; brain models; neural nets; artificial brain; brain structure; chemical processes; conceptual models; machine intelligence; memory manipulation system; molecular processes; multiple local networks; neurons; reference neuron mechanism; simulation models; vertical abstraction; Artificial intelligence; Biological system modeling; Biology computing; Brain; Evolution (biology); Machine intelligence; Neurons;
fLanguage :
English
Journal_Title :
Computer
Publisher :
ieee
ISSN :
0018-9162
Type :
jour
DOI :
10.1109/2.166421
Filename :
166421
Link To Document :
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