Sciweavers

24 search results - page 1 / 5
» Training Spiking Neuronal Networks With Applications in Engi...
Sort
View
TNN
2008
85views more  TNN 2008»
13 years 4 months ago
Training Spiking Neuronal Networks With Applications in Engineering Tasks
In this paper, spiking neuronal models employing means, variances, and correlations for computation are introduced. We present two approaches in the design of spiking neuronal netw...
Phill Rowcliffe, Jianfeng Feng
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 4 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
13 years 11 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
IJON
2000
78views more  IJON 2000»
13 years 4 months ago
Model-free detection of synchrony in neuronal spike trains, with an application to primate somatosensory cortex
Synchronized neuronal ring has been reported in many neural systems and may play a role in the representation of sensory stimuli and the modi cation of sensory representations by ...
Arup Roy, Peter N. Steinmetz, Ken O. Johnson, Erns...
ISCAS
2006
IEEE
90views Hardware» more  ISCAS 2006»
13 years 10 months ago
Feature competition in a spike-based winner-take-all VLSI network
— Recurrent networks and hardware analogs that perform a winner-take-all computation have been studied extensively. This computation is rarely demonstrated in a spiking network o...
Shih-Chii Liu, Matthias Oster