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
Full text is not in this repository.
Official URL: http://dx.doi.org/10.1007/978-1-4614-4133-5_10
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:||Middlesex University Schools and Centres > School of Science and Technology > Computer Science|
Middlesex University Schools and Centres > School of Science and Technology > Computer Science > Artificial Intelligence group
|Deposited On:||28 Feb 2012 06:56|
|Last Modified:||08 Oct 2014 11:05|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year