Neural networks: An overview of early research, current frameworks and new challenges
This paper presents a comprehensive overview of modelling, simulation and implementation
of neural networks, taking into account that two aims have emerged in this area: the …
of neural networks, taking into account that two aims have emerged in this area: the …
Simulation of networks of spiking neurons: a review of tools and strategies
We review different aspects of the simulation of spiking neural networks. We start by
reviewing the different types of simulation strategies and algorithms that are currently …
reviewing the different types of simulation strategies and algorithms that are currently …
[PDF][PDF] Computing with spiking neuron networks.
H Paugam-Moisy, SM Bohte - Handbook of natural computing, 2012 - core.ac.uk
Abstract Spiking Neuron Networks (SNNs) are often referred to as the 3rd generation of
neural networks. Highly inspired from natural computing in the brain and recent advances in …
neural networks. Highly inspired from natural computing in the brain and recent advances in …
Low-power event-driven neural computing architecture in neural networks
A neural network includes an electronic synapse array of multiple digital synapses
interconnecting a plurality of digital electronic neurons. Each synapse interconnects an axon …
interconnecting a plurality of digital electronic neurons. Each synapse interconnects an axon …
Exact subthreshold integration with continuous spike times in discrete-time neural network simulations
Very large networks of spiking neurons can be simulated efficiently in parallel under the
constraint that spike times are bound to an equidistant time grid. Within this scheme, the …
constraint that spike times are bound to an equidistant time grid. Within this scheme, the …
A brain-inspired framework for evolutionary artificial general intelligence
M Nadji-Tehrani, A Eslami - IEEE transactions on neural …, 2020 - ieeexplore.ieee.org
From the medical field to agriculture, from energy to transportation, every industry is going
through a revolution by embracing artificial intelligence (AI); nevertheless, AI is still in its …
through a revolution by embracing artificial intelligence (AI); nevertheless, AI is still in its …
A view of neural networks as dynamical systems
B Cessac - International Journal of Bifurcation and Chaos, 2010 - World Scientific
We present some recent investigations resulting from the modeling of neural networks as
dynamical systems, and deal with the following questions, adressed in the context of specific …
dynamical systems, and deal with the following questions, adressed in the context of specific …
Neuromorphic event-driven neural computing architecture in a scalable neural network
An event-driven neural network includes a plurality of inter connected core circuits is
provided. Each core circuit includes an electronic synapse array has multiple digital …
provided. Each core circuit includes an electronic synapse array has multiple digital …
Exact simulation of integrate-and-fire models with synaptic conductances
R Brette - Neural Computation, 2006 - direct.mit.edu
Computational neuroscience relies heavily on the simulation of large networks of neuron
models. There are essentially two simulation strategies:(1) using an approximation method …
models. There are essentially two simulation strategies:(1) using an approximation method …
The decay modes of proton drip-line nuclei with A between 42 and 47
V Borrel, R Anne, D Bazin, C Borcea… - Zeitschrift für Physik A …, 1992 - Springer
Neutron-deficient isotopes with Z= 21 to 26 have been produced as projectile-like fragments
of an intense 58 Ni GANIL beam of 69 MeV/nucleon. The nuclei selected by the upgraded …
of an intense 58 Ni GANIL beam of 69 MeV/nucleon. The nuclei selected by the upgraded …