Concept

Redresseur (réseaux neuronaux)

Publications associées (114)

Neural metabolism in vivo

Neural Metabolism In Vivo strives to offer a comprehensive and fundamental overview of cerebral metabolism by presenting leading-edge in vivo multimodal technology and its application in assessing neural activity, energy metabolism and neurotransmission in ...

Springer2012

Models of 802.11 Multi-Hop Networks: Theoretical Insights and Experimental Validation

Patrick Thiran, Olivier Dousse, Adel Aziz, Mathilde Durvy

Wireless Multi-Hop CSMA/CA Networks are challenging to analyze. On the one hand, their dynamics are complex and rather subtle effects may severely affect their performance. Yet, understanding these effects is critical to operate upper layer protocols, such ...

2011

Application of Artificial Neural Network to Predict Survival Time for Patients with Bladder Cancer

Rafal Tomasz Dlugosz

This paper presents an application of an artificial neural network to determine survival time of patients with a bladder cancer. Different learning methods have been investigated to find a solution, which is most optimal from a computational complexity poi ...

Springer-Verlag2009

Stiffness degradation and life prediction of adhesively- bonded joints for fiber-reinforced polymer composites

Thomas Keller, Anastasios Vassilopoulos, Ye Zhang

Adhesively-bonded joints, including double- and stepped- lap joints (DLJs and SLJs), were experimentally investigated under cyclic tensile loading. The joints were composed of pultruded GFRP laminates and epoxy adhesive. A critical stiffness was found for ...

2008

Parasites lead to evolution of robustness against gene loss in host signaling networks

Marcel Salathé

Many biological networks can maintain their function against single gene loss. However, the evolutionary mechanisms responsible for such robustness remain unclear. Here, we demonstrate that antagonistic host-parasite interactions can act as a selective pre ...

Nature / European Molecular Biology Organization2008

Contextual suppression and protection in schizophrenic patients

Michael Herzog, Maya Roinishvili

INTRODUCTION: Contextual processing is often strongly deteriorated in schizophrenic patients as found, for example, in higher cognitive as well as lower visual paradigms. In visual detection tasks, impoverished contextual facilitation was attributed to abe ...

Springer Verlag2008

Hierarchical Neural Networks Feature Extraction for LVCSR system

Hynek Hermansky, Fabio Valente

This paper investigates the use of a hierarchy of Neural Networks for performing data driven feature extraction. Two different hierarchical structures based on long and short temporal context are considered. Features are tested on two different LVCSR syste ...

2007

Hierarchical Neural Networks Feature Extraction for LVCSR system

Hynek Hermansky, Fabio Valente

IDIAP2007

Interferences in the Transformation of Reference Frames during a Posture Imitation Task

Aude Billard, Eric Sauser

We present a biologically-inspired neural model addressing the problem of transformations across frames of reference in a posture imitation task. Our modeling is based on the hypothesis that imitation is mediated by two concurrent transformations selective ...

2007

Spiking Neuron Networks A survey

Spiking Neuron Networks (SNNs) are often referred to as the 3rd generation of neural networks. They derive their strength and interest from an accurate modelling of synaptic interactions between neurons, taking into account the time of spike emission. SNNs ...

IDIAP2006

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