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» Neural methods for non-standard data
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NN
2006
Springer
100views Neural Networks» more  NN 2006»
13 years 4 months ago
Exploratory analysis of climate data using source separation methods
Alexander Ilin, Harri Valpola, Erkki Oja
NN
2000
Springer
127views Neural Networks» more  NN 2000»
13 years 4 months ago
Neural modeling and functional brain imaging: an overview
This article gives an overview of the different functional brain imaging methods, the kinds of questions these methods try to address and some of the questions associated with fun...
Barry Horwitz, Karl J. Friston, John G. Taylor
IDA
2010
Springer
13 years 2 months ago
Multi-dimensional data construction method with its application to learning from small-sample-sets
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Hsiao-Fan Wang, Chun-Jung Huang
NC
2007
129views Neural Networks» more  NC 2007»
13 years 3 months ago
Sorting of neural spikes: When wavelet based methods outperform principal component analysis
Sorting of the extracellularly recorded spikes is a basic prerequisite for analysis of the cooperative neural behavior and neural code. Fundamentally the sorting performance is deļ...
Alexey N. Pavlov, Valeri A. Makarov, Ioulia Makaro...
AISS
2010
107views more  AISS 2010»
13 years 1 months ago
A Simple Wavelet Method for Automated Detection of Epileptic Neural Spikes in Electroencephalogram
In clinical diagnosis process of epilepsy, the physicians rely on tedious visual screening of long time recorded electroencephalograms (EEG) for detection and localization of impo...
Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee,...