45 citations · 102 across the 8 of their papers we have counts for
8 papers
Teaching and learning in the age of artificial intelligence
Margarida Romero, Laurent Heiser, Alexandre Lepage +29
As part of the Digital Working Group (GTnum) #Scol_IA "Renewal of digital practices and creative uses of digital and AI" we are pleased to present the white paper "Teaching and lea…
AI in the media and creative industries
Giuseppe Amato, Malte Behrmann, Frédéric Bimbot +16
Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in…
Entropy-based parametric estimation of spike train statistics
J. C. Vasquez, B. Cessac, T. Viéville
We consider the evolution of a network of neurons, focusing on the asymptotic behavior of spikes dynamics instead of membrane potential dynamics. The spike response is not sought a…
How Gibbs distributions may naturally arise from synaptic adaptation mechanisms. A model-based argumentation
B. Cessac, H. Rostro, J. C. Vasquez +1
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 st…
To which extend is the "neural code" a metric ?
Bruno Cessac, Horacio Rostro-González, Juan-Carlos Vasquez +1
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…
Introducing numerical bounds to improve event-based neural network simulation
Bruno Cessac, Olivier Rochel, Thierry Viéville
Although the spike-trains in neural networks are mainly constrained by the neural dynamics itself, global temporal constraints (refractoriness, time precision, propagation delays,…