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NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 6 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...
WCE
2007
13 years 8 months ago
Dynamic Behaviour and Significance of Neuron Networks with Varying Degrees of Random Coupling
—Networks of coupled dynamical systems exhibit many interesting behaviours such as spatio-temporal chaos, pattern formation and synchronization. Such networks can be used to mode...
Bijilash Babu, Marissa Condon
NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 5 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
BC
2008
86views more  BC 2008»
13 years 7 months ago
Firing patterns in the adaptive exponential integrate-and-fire model
For simulations of large spiking neuron networks, an accurate, simple and versatile single-neuron modeling framework is required. Here we explore the versatility of a simple two-eq...
Richard Naud, Nicolas Marcille, Claudia Clopath, W...
PADS
2005
ACM
14 years 19 days ago
Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model
Neural systems are composed of a large number of highly-connected neurons and are widely simulated within the neurological community. In this paper, we examine the application of ...
Collin J. Lobb, Zenas Chao, Richard M. Fujimoto, S...