The Multidimensional Brain

Integrative & Computational Neuroscience


Head : Daniel E. Shulz

Vice-Head : Alain Destexhe


The department of Integrative & Computational Neuroscience (ICN) is engaged in an interdisciplinary and multi-scale study of the brain to identify computational principles and neurophysiological mechanisms in thalamo-cortical networks, governing the emergence of high-level brain functions, like perception and learning. ICN is composed of six research teams collectively studying the synaptic and neuronal mechanisms of cortical and subcortical sensory processing and perception, sensori-motor integration and dynamics of internally-generated brain states (e.g. wakefulness, sleep).


The research at ICN is centered on 3 linked scientific issues.

- 1) The synaptic and neuronal mechanisms involved in cortical and subcortical sensory information processing (audition, touch, vision) and perception, and their plasticity.

- 2) The impact of internally generated brain states (like attention, wakefulness or sleep) on subcortical and cortical sensory processing and cognitive abilities.

- 3) The neuronal mechanisms of sensori-motor integration and learning and of motor behavior (including brain-machine interfaces).


ICN teams use experimental, computational and theoretical approaches in an integrated and interdisciplinary context combining Neuroscience, Physics, Mathematics and Informatics at multiple scales (cell, network, behavior) and organization levels (micro, meso and macro-scales).


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