NDLI: Consciousness modeling: a neural computing approach

Content Provider	IEEE Xplore Digital Library
Author	Jie Lin Jian-Gang Yang
Copyright Year	2004
Description	Author affiliation: Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China (Jie Lin)
Abstract	A framework for consciousness is introduced based upon traditional artificial neural network models. This astral framework reflects explicit connections between two parts of brain: one global working memory and distributed modular cerebral networks related to specific brain functions. Accordingly, this framework is composed of two layers, physical mnemonic layer and abstract thinking layer, which cooperate together to accomplish information storage and cognition using algorithms of how these interactions contribute to consciousness: (1) the bottom-up-projection process whereby cerebral subsystems group distributed signals into coherent object patterns; (2) the top-down-attention process whereby global workspace selectively responses to highly impressive patterns; and (3) the horizontal resonant learning process whereby global workspace steadily adjusts its network to adapt to environmental changes. Using this framework, various sorts of human brain actions can be explained, leading to a general approach for analyzing brain functions.
Starting Page	3192
Ending Page	3196
File Size	405552
Page Count	5
File Format	PDF
ISBN	0780384032
DOI	10.1109/ICMLC.2004.1378585
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological neural networks Humans Cognition Educational institutions Computer science Electronic mail Artificial intelligence Artificial neural networks Signal processing Resonance
Content Type	Text
Resource Type	Article

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