NDLI: A learning algorithm for computational connected cellular network

Content Provider	IEEE Xplore Digital Library
Author	Li Yuan Mi Basu, M. Fritton, S. Cowin, S.
Copyright Year	2002
Description	Author affiliation: Dept. of Electr. Eng., City Univ. of New York, NY, USA (Li Yuan Mi; Basu, M.)
Abstract	The objective of computational connected cellular network (CCCN) is to model a network of bone cells and study the mechanical loading induced signal communication pattern among them. Our previous study (2000, 2001) has shown that a backpropagation (BP) neural network model can be used to capture the functional relation between the mechanical loading and the amount of bone formation. To emulate the cell-to-cell communication pattern in bone matrix, a new computational connected cellular network (CCCN) learning system has been developed with a structure that closely mimics the actual biological structure of cell-connections in a bone. An error-correcting learning algorithm is proposed for CCCN based on a two-dimensional extension of the backpropagation algorithm. The CCCN is divided into numerous BP networks, whose architecture changes with weights and cell-state updating cycles. The conventional BP learning algorithm can be applied to each BP network. It is convergent because of the constraints enforced by the characteristics of a real bone cell. Application of the CCCN to an animal bone adaptation experiment produces interesting cell communication patterns.
Sponsorship	Asia-Pacific Neural Network Assembly Singapore Neuroscience Assoc. SEAL & FSKD Conference Steering Committees IEEE Neural Networks Soc. Int. Neural Network Soc. Eur. Neural Network Soc. SPIE
Starting Page	503
Ending Page	506
File Size	311945
Page Count	4
File Format	PDF
ISBN	9810475241
DOI	10.1109/ICONIP.2002.1202221
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-11-18
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Nanyang Technological University
Subject Keyword	Computer networks Land mobile radio cellular systems Bones Biomedical computing Biomedical engineering Neural networks Learning systems Animal structures Cells (biology) Mechanical engineering
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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