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Mathematicians help to unlock brain function
Date:5/3/2013

growth of a neural network has ever been observed," added Dr Nicosia.

"Although we don't know which biological factors are responsible for the change in the growth pattern, we were able to reproduce the pattern using a simple economical model of synaptic formation. This result can pave the way to a deeper understanding of how neural networks grow in more complex organisms."

The Complex Networks group at Queen Mary is headed by Professor Vito Latora. Aside from theoretical research about the structure and function of complex networks, the group is working on the characterisation of multi-layer brain networks, aimed at reconciling and integrating different brain signals to produce a more informative picture of the human brain.


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Contact: Neha Okhandiar
n.okhandiar@qmul.ac.uk
020-788-27927
Queen Mary, University of London
Source:Eurekalert

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