4 papers
Using an expert deviation carrying the knowledge of climate data in usual clustering algorithms
Emmanuel Biabiany, Vincent Page, Didier Bernard +1
In order to help physicists to expand their knowledge of the climate in the Lesser Antilles, we aim to identify the spatio-temporal configurations using clustering analysis on wind…
Indisputable facts when implementing spiking neuron networks
Bruno Cessac, Hélène Paugam-Moisy, Thierry Viéville
In this article, our wish is to demystify some aspects of coding with spike-timing, through a simple review of well-understood technical facts regarding spike coding. The goal is t…
Learning and discrimination through STDP in a top-down modulated associative memory
Anthony Mouraud, Hélène Paugam-Moisy
This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuropsychology…
DAMNED: A Distributed and Multithreaded Neural Event-Driven simulation framework
Anthony Mouraud, Didier Puzenat, Hélène Paugam-Moisy
In a Spiking Neural Networks (SNN), spike emissions are sparsely and irregularly distributed both in time and in the network architecture. Since a current feature of SNNs is a low…