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» Modeling spiking neural networks
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CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 7 months ago
To which extend is the "neural code" a metric ?
Here is proposed a review of the different choices to structure spike trains, using deterministic metrics. Temporal constraints observed in biological or computational spike train...
Bruno Cessac, Horacio Rostro-González, Juan...
IPPS
2010
IEEE
13 years 5 months ago
Acceleration of spiking neural networks in emerging multi-core and GPU architectures
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...
EAAI
2006
123views more  EAAI 2006»
13 years 7 months ago
Imitation learning with spiking neural networks and real-world devices
This article is about a new approach in robotic learning systems. It provides a method to use a real-world device that operates in real-time, controlled through a simulated recurr...
Harald Burgsteiner
IJCNN
2006
IEEE
14 years 1 months ago
Event modeling of message interchange in stochastic neural ensembles
— We propose a modeling framework based on the event-driven paradigm for populations of neurons which interchange messages. Unlike other strategies our approach is focused on the...
Vicenç Gómez, Andreas Kaltenbrunner,...
ICIC
2007
Springer
14 years 1 months ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...