320 citations
- Centre National de la Recherche ScientifiqueFR54 papers
- InsermFR49 papers
- Sorbonne UniversitéFR42 papers
- Université Pierre-et-Marie-CurieFR16 papers
- Centre hospitalier national d'ophtalmologie des Quinze-VingtsFR15 papers
- ESPCI ParisFR14 papers
- Institut LangevinFR14 papers
- Université Paris Sciences et LettresFR14 papers
- Université Paris CitéFR11 papers
- École Normale Supérieure - PSLFR10 papers
- Laboratoire de Physique de l'Ecole Normale SupérieureFR6 papers
- Institute of Science and Technology AustriaAT5 papers
7 papers · 1 filter
Pulsatile microvascular blood flow imaging by short-time Fourier transform analysis of ultrafast laser holographic interferometry
L. Puyo, I. Ferezou, A. Rancillac +5
We report on wide-field imaging of pulsatile microvascular blood flow in the exposed cerebral cortex of a mouse by holographic interferometry. We recorded interferograms of laser l…
HFirst: A Temporal Approach to Object Recognition
Garrick Orchard, Cedric Meyer, Ralph Etienne-Cummings +3
This paper introduces a spiking hierarchical model for object recognition which utilizes the precise timing information inherently present in the output of biologically inspired as…
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh +1
Deep convolutional neural networks (DCNNs) have attracted much attention recently, and have shown to be able to recognize thousands of object categories in natural image databases.…
STICK: Spike Time Interval Computational Kernel, A Framework for General Purpose Computation using Neurons, Precise Timing, Delays, and Synchrony
Xavier Lagorce, Ryad Benosman
There has been significant research over the past two decades in developing new platforms for spiking neural computation. Current neural computers are primarily developed to mimick…
Learning Maximum Entropy Models from finite size datasets: a fast Data-Driven algorithm allows sampling from the posterior distribution
Ulisse Ferrari
Maximum entropy models provide the least constrained probability distributions that reproduce statistical properties of experimental datasets. In this work we characterize the lear…
Dynamical arrest with zero complexity: the unusual behavior of the spherical Blume Emery Griffiths disordered model
Corrado Rainone, Ulisse Ferrari, Matteo Paoluzzi +1
The short- and long-time dynamics of model systems undergoing a glass transition with apparent inversion of Kauzmann and dynamical arrest glass transition lines is investigated. Th…