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» Computational Properties of Probabilistic Neural Networks
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IWANN
2001
Springer
15 years 2 months ago
A Realistic Computational Model of the Local Circuitry of the Cuneate Nucleus
Abstract. Intracellular recordings obtained under cutaneous and lemniscal stimulation show that the afferent fibers can establish excitatory and inhibitory synaptic connections w...
Eduardo Sánchez Vila, Senén Barro, J...
NN
2006
Springer
14 years 9 months ago
Propagation and control of stochastic signals through universal learning networks
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
Kotaro Hirasawa, Shingo Mabu, Jinglu Hu
ACS
2004
14 years 9 months ago
A Categorical Approach to Threshold Agent Networks
Threshold agent networks (TANs) constitute a discretized modification of threshold (also known as neural) networks that are appropriate for modeling computer simulations. In this p...
George Voutsadakis
66
Voted
ESANN
2006
14 years 11 months ago
Cluster detection algorithm in neural networks
Complex networks have received much attention in the last few years, and reveal global properties of interacting systems in domains like biology, social sciences and technology. O...
David Meunier, Hélène Paugam-Moisy
73
Voted
IEEEICCI
2003
IEEE
15 years 2 months ago
Signal Classification through Multifractal Analysis and Complex Domain Neural Networks
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...
Witold Kinsner, V. Cheung, K. Cannons, J. Pear, T....