National audience
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2009 (v1)Conference paperUploaded on: December 4, 2022
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2011 (v1)Journal article
This paper presents a numerical analysis of the role of asymptotic dynamics in the design of hardware-based implementations of the generalised integrate-and-fire (gIF) neuron models. These proposed implementations are based on extensions of the discrete-time spiking neuron model, which was introduced by Soula et al., and have been implemented...
Uploaded on: December 3, 2022 -
2009 (v1)Journal article
This paper addresses two questions in the context of neuronal networks dynamics, using methods from dynamical systems theory and statistical physics: (i) How to characterize the statistical properties of sequences of action potentials ("spike trains") produced by neuronal networks? and; (ii) what are the effects of synaptic plasticity on these...
Uploaded on: December 4, 2022 -
October 8, 2008 (v1)Conference paper
Here is proposed a review of the different choices to structure spike trains, using deterministic metrics. Temporal constraints observed in biological or computational spike trains are first taken into account The relation with existing neural codes (rate coding, rank coding, phase coding, ..) is then discussed. To which extend the ``neural...
Uploaded on: December 4, 2022 -
January 18, 2010 (v1)Conference paper
We review recent results dealing with the analysis of spike train statistics in neural networks models, using methods from dynamical systems (thermodynamic formalism). We discuss why Gibbs distributions are natural candidates and present some consequences at the theoretical and algorithmic level.
Uploaded on: December 2, 2022 -
2009 (v1)Conference paper
International audience
Uploaded on: December 4, 2022 -
October 8, 2008 (v1)Conference paper
We introduce a mathematical framework where the statistics of spikes trains, produced by neural networks evolving under synaptic plasticity, can be analysed.
Uploaded on: December 4, 2022 -
2009 (v1)Conference paper
National audience
Uploaded on: December 3, 2022 -
2009 (v1)Conference paper
We consider the deterministic evolution of a time-discretized spiking network of neurons with connection weights having delays, modeled as a discretized neural network of the generalized integrate and fire (gIF) type. The purpose is to study a class of algorithmic methods allowing to calculate the proper parameters to reproduce exactly a given...
Uploaded on: December 3, 2022 -
June 25, 2017 (v1)Conference paper
In the last years, virtual reality technology has experienced a boost in affordability, and an increasingly number of applications have emerged proposing new immersive 360 degrees visual content. To make this content accessible for low vision people, one should adopt the same strategies as in traditional displays, i.e., use dedicated image...
Uploaded on: February 28, 2023