Computational Neuroscience


Research center

1 avenue de la Terrasse1 avenue de la Terrasse
91190 Gif-sur-Yvette
Daniel Shulz


Université Paris Sud
ED158 - 3C
Université Pierre et Marie Curie


Phone: 33-1-69-82-34-35
UPR 3293
IDEX NeuroSaclay


high-conductance state
in vivo
computational models


Dehghani, N., Peyrache, A., Telenczuk, B., Le Van Quyen, M., Halgren, E., Cash, S.S., Hatsopoulos, N.G. and Destexhe, A. Dynamic balance of excitation and inhibition in human and monkey neocortex.  Nature Scientific Reports 6: 23176, 2016.  DOI: 10.1038/srep23176

Zerlaut, Y. and Destexhe, A. Enhanced responsiveness and low-level awareness in stochastic network states.  Neuron 7: 1002-1009, 2017. DOI: 10.1016/j.neuron.2017.04.001

Telenczuk, B., Dehghani, N., Le Van Quyen, M., Cash, S., Halgren, E., Hatsopoulos, N.G. and Destexhe, A. Local field potentials primarily reflect inhibitory neuron activity in human and monkey cortex.  Nature Scientific Reports 7: 40211, 2017.  DOI: 10.1038/srep40211

Barbieri, F., Trauchessec, V.. Caruso, L., Trejo Rosillo, J., Telenczuk, B., Paul, E., Bal, T., Destexhe, A., Fermon, C., Pannetier-Lecoeur, M. and Ouanounou, G. Local recording of biological magnetic fields using Giant Magneto Resistance-based micro-probes.  Nature Scientific Reports 6: 39330, 2016.  DOI: 10.1038/srep39330

Le Van Quyen, M., Muller, L., Telenczuk, B., Cash, S.S., Halgren, E., Hatsopoulos, N.G., Dehghani, N. and Destexhe, A. High-frequency oscillations in human and monkey neocortex during the wake-sleep cycle.  Proc. Natl. Acad. Sci. USA 113: 9363-9368, 2016.  DOI: 10.1073/pnas.1523583113

Fields of research

Computational neurosciences / neural theory

Research Theme

Integrative properties of neocortical neurons in high-conductance states.
In awake animals, neurons of cerebral cortex are in a "high-conductance" (HC) state, characterized by a sustained, irregular and very noisy spike discharges. Neurons have very special integrative properties during such states, in particular regarding the integration of excitatory and inhibitory inputs. Studying this complex integrative dynamics requires a tight association between in vivo, in vitro and computational techniques. HC states are measured intracellularly in vivo in anesthetized animals, and these measurements are then integrated into computational models to recreate such states numerically. These models are then used in "dynamic-clamp" in vitro experiments, in which computational models interact directly with living neurons recorded intracellularly. This back-and-forth dynamics between techniques in vivo, in vitro and in computo allows us to re-create HC states in vitro and benefit from this preparation to reconstruct the transfer ("input-output") function of the neuron during HC states. This information is necessary to understand the dynamics of information processing during active states of cerebral cortex.

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