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» Modeling spiking neural networks
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NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 7 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...
IJCSS
2007
122views more  IJCSS 2007»
13 years 7 months ago
Artificial Neural Network Type Learning with Single Multiplicative Spiking Neuron
In this paper, learning algorithm for a single multiplicative spiking neuron (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural netwo...
Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem K...
IJCNN
2007
IEEE
14 years 2 months ago
Predicting Spike Activity in Neuronal Cultures
be regarded as an abstraction of the underlying effective network connectivity, i.e. its functional connectivity. Although similar functional connectivity models have been describe...
Tayfun Gürel, Ulrich Egert, Steffen Kandler, ...
JUCS
2007
122views more  JUCS 2007»
13 years 7 months ago
Spiking Neural P Systems with Astrocyte-Like Control
: Spiking neural P systems are computing models inspired from the way the neurons communicate by means of spikes, electrical impulses of identical shapes. In this note we consider ...
Gheorghe Paun
IJON
2007
93views more  IJON 2007»
13 years 7 months ago
How much can we trust neural simulation strategies?
Despite a steady improvement of computational hardware, results of numerical simulation are still tightly bound to the simulation tool and strategy used, and may substantially var...
Michelle Rudolph, Alain Destexhe