Add to ORKGIn this contribution we present an advanced concept of neural hardware that realizes two important features: 1. each neuron possesses membrane potential learnable synaptic weights and delays, threshold, and transfer function, all variable, and 2. each neuron possesses its own communication hardware to realize global communications through fault-tolerant interconnenction multiplexing
A neuron network is a computational model based on structure and functions of biological neural netw...
Artificial neural networks (ANN) have demonstrated performance beyond human capability in challengin...
Algorithms, applications and hardware implementations of neural networks are not investigated in clo...
Future development of neural networks and their applications will be strongly affected by the availa...
This work describes a parallel neural network emulator which combines use of application-specific VL...
Abstract:- Neuromorphic neural networks are of interest both from a biological point of view and in ...
This paper discusses some of the limitations of hardware implementations of neural networks. The aut...
International audienceSpiking neural networks (SNN) are biologically plausible networks. Compared to...
Abstract. This paper presents a hardware implementation of a Time Multiplex-ing Architecture (TMA) t...
Article dans revue scientifique avec comité de lecture.The distributed structure of artificial neura...
International audienceFace to the limitations of the classical computationmodel, neuromorphic system...
This article describes how a NAND memory device is adapted to the implementation of an artificial ne...
Over the past decade a large variety of hardware has been designed to exploit the inherent paralleli...
Hardware implementation of neuromorphic algorithms is hampered by high degrees of connectivity. Func...
In executing tasks involving intelligent information processing, the human brain performs better tha...
A neuron network is a computational model based on structure and functions of biological neural netw...
Artificial neural networks (ANN) have demonstrated performance beyond human capability in challengin...
Algorithms, applications and hardware implementations of neural networks are not investigated in clo...
Future development of neural networks and their applications will be strongly affected by the availa...
This work describes a parallel neural network emulator which combines use of application-specific VL...
Abstract:- Neuromorphic neural networks are of interest both from a biological point of view and in ...
This paper discusses some of the limitations of hardware implementations of neural networks. The aut...
International audienceSpiking neural networks (SNN) are biologically plausible networks. Compared to...
Abstract. This paper presents a hardware implementation of a Time Multiplex-ing Architecture (TMA) t...
Article dans revue scientifique avec comité de lecture.The distributed structure of artificial neura...
International audienceFace to the limitations of the classical computationmodel, neuromorphic system...
This article describes how a NAND memory device is adapted to the implementation of an artificial ne...
Over the past decade a large variety of hardware has been designed to exploit the inherent paralleli...
Hardware implementation of neuromorphic algorithms is hampered by high degrees of connectivity. Func...
In executing tasks involving intelligent information processing, the human brain performs better tha...
A neuron network is a computational model based on structure and functions of biological neural netw...
Artificial neural networks (ANN) have demonstrated performance beyond human capability in challengin...
Algorithms, applications and hardware implementations of neural networks are not investigated in clo...