Dr. Axel Hutt

INRIA CR Nancy - Grand Est
Head of team Neurosys
Batiment C - C045
615, rue du Jardin Botanique
54602 Villers-les-Nancy Cedex
Tel.: +33 (0)3 54 95 85 86
Fax: +33 (0)3 83 55 25 73
email: a x e l . h u t t A T i n r i a . f r


* paper on quenching of oscillatory instability by additive noise accepted by Europhysics Letters (June 2013)

* paper on non-conscious priming (experiments+theory) accepted for publication in Attention, Perception & Psychophysics (July 2013)

* paper on traveling fronts in neural fields accepted by Journal Mathematical Neuroscience (July 2013)

* Scholarpedia article on General Anaesthesia accepted (July 2013)

* paper on effects of anaesthetics on different cortical layers in area V1 and prefrontal cortex (September 2013)

Upcoming events

Research projects

ERC Starting Grant project MATHANA

The project aims to develop neural population models describing phenomena observed in general anaesthesia.

Mutual synchronization in multivariate biomedical time series

This part of my work deals with synchronization of measured neural activity data mostly obtained during cognitive experiments or in motor tasks for monkeys. The data types are event-related potentials and fields (ERP/ERF), evoked potentials and Local Field Potentials. The focus of the work is the development of numerical algorithms, which detect mutual synchronization and mutual phase synchronization in single data sets. Since the neural activity is highly non-statationary in time, the methods extract an instantaneous degree of synchronization.

Modeling of neuronal network activity subject to delay and noise

This part of my work deals with continuous neuronal networks, which are extended in the spatial domain. The theoretical studies investigate and the spatio-temporal activity and networks with respect to effects of propagation delay, feedback delay and random fluctuations (noise). The investigated models consider excitatory and inhibitory neurons, excitatory and inhibitory synapses and various types of spatial connectivities.

Neural models of general anaesthesia

This work aims to model neural activity during general anaesthesia in order to explain the significant EEG signals observed in experiments. The underlying model considers excitatory and inhibitory neurons, excitatory and inhibitory synapses and various types of spatial connectivities and finite axonal conduction speed.

Effect of additive noise on nonlinear systems

The work performs a centre manifold analysis in the presence of random fluctuations with and without delays demonstrating a shift of stability subjected to additive noise.


Talks and Posters

Brief CV

Former events


Student projects


Editorial work

Computer problems and some solutions

Updated: July 2013