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IJON
2002
85views more  IJON 2002»
9 years 9 months ago
Learning statistically efficient features for speaker recognition
We apply independent component analysis (ICA) for extracting an optimal basis to the problem of finding efficient features for a speaker. The basis functions learned by the algori...
Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh
IJON
2002
45views more  IJON 2002»
9 years 9 months ago
Evolving field models for inhibition effects in early vision
Christian Igel, Werner von Seelen, Wolfram Erlhage...
IJON
2002
51views more  IJON 2002»
9 years 9 months ago
Scaling a slow-wave sleep cortical network model using NEOSIM
F. W. Howell, Maxim Bazhenov, P. Rogister, Terrenc...
IJON
2002
100views more  IJON 2002»
9 years 9 months ago
A computational neuroscience account of visual neglect
On the basis of a computational and neurodynamical model, we investigate a cognitive impairment in stroke patients termed visual neglect. The model is based on the "biased co...
Dietmar Heinke, Gustavo Deco, Josef Zihl, Glyn W. ...
IJON
2002
65views more  IJON 2002»
9 years 9 months ago
A general framework for neurobiological modeling: an application to the vestibular system
The otolith organs in the vestibular system are excellent detectors of linear accelerations. However, any measurement of linear acceleration is ambiguous between a tilt in a gravi...
Chris Eliasmith, M. Brandon Westover, Charles H. A...
IJON
2002
98views more  IJON 2002»
9 years 9 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
IJON
2002
83views more  IJON 2002»
9 years 9 months ago
Modeling temporal combination selective neurons of the songbird
Some neurons in the nucleus HVc of the songbird respond vigorously to sequences of syllables as they appear in the bird's own song (such as AB), but they respond weakly or no...
Patrick J. Drew, L. F. Abbott
IJON
2002
103views more  IJON 2002»
9 years 9 months ago
RBF networks training using a dual extended Kalman filter
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...
Iulian B. Ciocoiu
IJON
2002
69views more  IJON 2002»
9 years 9 months ago
From single-trial EEG to brain area dynamics
We here present a new technique for visualizing the temporal dynamics of brain area activation and interaction at high-temporal resolution. We
Arnaud Delorme, Scott Makeig, Michèle Fabre...
IJON
2002
112views more  IJON 2002»
9 years 9 months ago
Kernel methods: a survey of current techniques
Kernel methods have become an increasingly popular tool for machine learning tasks such as classi
Colin Campbell
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