Maximal connectivity and constraints in the human brain

Belavkin, Roman V. (2012) Maximal connectivity and constraints in the human brain. In: Optimization and data analysis in biomedical informatics. Pardalos, Panos M. and Coleman, Thomas F. and Xanthopoulos, Petros, eds. Fields Institute Communications (63). Springer, New York, pp. 191-198. ISBN 9781461441335

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Abstract

We represent neural networks by directed graphs and consider the problem of maximal connectivity with constraints. This problem is motivated by some conflicting objectives in the design of biological neural networks. Inequalities and equations derived are tested on data and numerical estimates for parameters of a human brain. Results support an intuition that human brain is maximally connected subject to constraints on in- and out- degrees.

Item Type: Book Section
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
Item ID: 8401
Useful Links:
Depositing User: Dr Roman Belavkin
Date Deposited: 28 Feb 2012 06:56
Last Modified: 13 Oct 2016 14:23
URI: http://eprints.mdx.ac.uk/id/eprint/8401

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