Maximal connectivity and constraints in the human brain
Book chapter
Belavkin, R. 2012. Maximal connectivity and constraints in the human brain. in: Pardalos, P., Coleman, T. and Xanthopoulos, P. (ed.) Optimization and data analysis in biomedical informatics New York Springer.
| Chapter title | Maximal connectivity and constraints in the human brain |
|---|---|
| Authors | Belavkin, R. |
| 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. |
| Research Group | Artificial Intelligence group |
| Book title | Optimization and data analysis in biomedical informatics |
| Editors | Pardalos, P., Coleman, T. and Xanthopoulos, P. |
| Publisher | Springer |
| Place of publication | New York |
| Series | Fields Institute Communications |
| ISBN | |
| Electronic | 9781461441335 |
| Hardcover | 9781461441328 |
| ISSN | 1069-5265 |
| Publication dates | |
| Online | 01 Jan 2012 |
| 20 Jul 2012 | |
| Publication process dates | |
| Deposited | 28 Feb 2012 |
| Output status | Published |
| Digital Object Identifier (DOI) | https://doi.org/10.1007/978-1-4614-4133-5_10 |
| Language | English |
| Journal | Fields Institute Communications: Workshop on Optimization and Data Analysis in Biomedical Informatics |
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