My research work is at the interface between physics and
neuroscience. I use techniques from statistical physics and nonlinear
dynamics to understand the behavior of neural systems. I have studied in
particular:
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Stochastic dynamics and signal transmission properties of single neurons
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Synchronization properties of cortical networks
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Short term and long term memory in local cortical circuits
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Hippocampus and head direction cell system
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Learning in the cerebellum
For more details, see my research page or read
my papers
Selected recent publications:
- A Roxin, N Brunel and D Hansel (2005),
The role of delays in shaping
the spatio-temporal dynamics of neuronal activity in large networks ,
Physical Review Letters, 94, 238103 (Supplementary information)
- N Brunel, V Hakim, P Isope, JP Nadal, B Barbour
(2004), Optimal Information Storage and the
Distribution of Synaptic Weights; Perceptron versus Purkinje Cell
, Neuron, 43, 745-57 (Supplementary information)
- N Fourcaud-Trocmé, D Hansel, C van Vreeswijk and N
Brunel (2003), How spike generation mechanisms determine the neuronal response
to fluctuating inputs,
Journal of Neuroscience, 23, 11628-11640