Day / Time
Date(s) - 23/06/2014
14 h 00 min - 15 h 30 min
Ecole de Physique, Auditoire Stueckelberg, 24 quai Ernest-Ansermet
Brain’s distinctive functions arise, in a rather simplistic but powerful model, from connections between neurons at the local level, and connections between brain regions at the global level. The study of the entire network, the connectome, has become a focus of neuroscience research, gaining momentum thanks to our growing ability to investigate how the brain networks evolve during development and lifetime, and to analyse and model how they work. This lecture will focus on the “known unknowns” of current neurosciences, to introduce some research hypotheses aimed at investigating whether novel, non-turing computational mechanisms are available to brain’s neural networks; and to propose a roadmap towards the realisation of models capable of predicting measurable outcomes of the proposed mechanisms to be tested against current models and searched for in neurophysiological data. The lecture will conclude presenting an example of such a convergence of data analysis and simulations in describing brain development and predicting its fundamental rules (http://www.greenbrainproject.org/).