From physiological principles to computational models of the cortex

Jérémy Fix 1 Nicolas P. Rougier 1 Frédéric Alexandre 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Understanding the brain goes through the assimilation of an increasing amount of biological data going from single cell recording to brain imaging studies and behavioral analysis. The description of cognition at these three levels provides us with a grid of analysis that can be exploited for the design of computational models. Beyond data related to specific tasks to be emulated by models, each of these levels also lays emphasis on principles of computation that must be obeyed to really implement biologically inspired computations. Similarly, the advantages of such a joint approach are twofold: Computational models are a powerful tool to experiment brain theories and assess them on the implementation of realistic tasks, such as visual search tasks. They are also a way to explore and exploit an original formalism of asynchronous, distributed and adaptive computations with such precious properties as self-organisation, emergence, robustness and more generally abilities to cope with an intelligent interaction with the world.
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Article dans une revue
Journal of Physiology - Paris, Elsevier, 2007, Neuro-Computation: From Sensorimotor Integration to Computational Frameworks, 101 (1-3), pp.32-39. 〈10.1016/j.jphysparis.2007.10.009〉
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Dernière modification le : jeudi 11 janvier 2018 - 06:19:48
Document(s) archivé(s) le : mardi 21 septembre 2010 - 17:47:47

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Jérémy Fix, Nicolas P. Rougier, Frédéric Alexandre. From physiological principles to computational models of the cortex. Journal of Physiology - Paris, Elsevier, 2007, Neuro-Computation: From Sensorimotor Integration to Computational Frameworks, 101 (1-3), pp.32-39. 〈10.1016/j.jphysparis.2007.10.009〉. 〈inria-00166536v2〉

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