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Partners: Institut de Neurosciences Cognitives de la Méditerranée. Laboratoire Jean-Alexandre Dieudonné
Topics: Mesoscopic modeling of cortical columns, bifurcations, and imaging. Statistical analysis of spike trains.
Grants: Doeblin Federation (CNRS & Université de Nice-Sophia Antipolis).
Last Minute. Slides for the conference NeuroComp 2008
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Modeling Cortical Activity and Analysing the Brain Neural Code
Neuronal information processing is related to the brain bio-electrical activity. Current neuro imaging techniques allow the measurement of this bio-electrical activity at different time and space scales, from neurons to the brain as a whole (e.g. LFP, ECoG, EEG, MEG). But the analysis of the data coming from these measures requires the parallel development of suitable models. Namely, these models have to be, on the one hand, close enough to phenomenology, taking into account the various type of bio-electrical activity and their scales relations, in order to propose a coherent representation of information processing in the brain (from neurons to neuronal populations, cortical columns, brain area, etc). On the other hand, these models must be well posed and analytically tractable. This requires a constant interaction between neurobiology, modeling and mathematics. In this spirit, this project aims to tackle the following questions, combining results from neuroscience, dynamical systems theory and statistical physics.
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