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» Computational model for amygdala neural networks
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ICANN
2005
Springer
15 years 7 months ago
Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks
Abstract. The paper presents a new version of a GMDH type algorithm able to perform an automatic model structure synthesis, robust model parameter estimation and model validation i...
Tatyana I. Aksenova, Vladimir Volkovich, Alessandr...
TCS
2008
15 years 1 months ago
Modeling spiking neural networks
A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematica...
Ioannis D. Zaharakis, Achilles D. Kameas
IWANN
2005
Springer
15 years 7 months ago
Real-Time Spiking Neural Network: An Adaptive Cerebellar Model
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
Christian Boucheny, Richard R. Carrillo, Eduardo R...
ESANN
2007
15 years 3 months ago
Adaptive Global Metamodeling with Neural Networks
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
Dirk Gorissen, Wouter Hendrickx, Tom Dhaene
ICANN
2007
Springer
15 years 5 months ago
Text-Independent Speaker Authentication with Spiking Neural Networks
This paper presents a novel system that performs text-independent speaker authentication using new spiking neural network (SNN) architectures. Each speaker is represented by a set ...
Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasa...