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IJON
2008
118views more  IJON 2008»
13 years 10 months ago
Incremental extreme learning machine with fully complex hidden nodes
Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden nodes, IEEE Trans. Neural Networks 17(4) (2006) 879
Guang-Bin Huang, Ming-Bin Li, Lei Chen, Chee Kheon...
IJON
2006
63views more  IJON 2006»
13 years 10 months ago
Smoothing and thresholding in neuronal spike detection
We discuss spike detection for noisy neuronal data. Robust spike detection techniques are especially important for probes which have fixed electrode sites that cannot be independe...
Nhamo Mtetwa, Leslie S. Smith
IJON
2006
71views more  IJON 2006»
13 years 10 months ago
Maximization of statistical moments for blind separation of sources revisited
In this paper we revisit a classic HOS-based BSS criterion, namely the maximization of the higher-order moments of the estimated sources. The main contributions of this paper are:...
Susana Hornillo-Mellado, Rubén Martí...
IJON
2007
95views more  IJON 2007»
13 years 10 months ago
A biophysical neural accumulator model of decision making in an antisaccade task
A biophysical cortico-colicular model of saccade initiation based on competitive integration of planned and reactive cortical saccade decision signals in the intermediate layer of...
Vassilis Cutsuridis, Ioannis Kahramanoglou, Nikola...
IJON
2006
111views more  IJON 2006»
13 years 10 months ago
Dynamic pruning algorithm for multilayer perceptron based neural control systems
Generalization ability of neural networks is very important and a rule of thumb for good generalization in neural systems is that the smallest system should be used to fit the tra...
Jie Ni, Qing Song