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IJCNN
2006
IEEE
15 years 4 months ago
In-Place Learning for Positional and Scale Invariance
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue
ISBI
2008
IEEE
15 years 11 months ago
Axonal bouton modeling, detection and distribution analysis for the study of neural circuit organization and plasticity
We propose a novel method for axonal bouton modeling and automated detection in populations of labeled neurons, as well as bouton distribution analysis for the study of neural cir...
Abhay Mavalankar, Amina Chebira, Christina A. Hall...
JOCN
2010
129views more  JOCN 2010»
14 years 8 months ago
Arabic Morphology in the Neural Language System
■ There are two views about morphology, the aspect of language concerned with the internal structure of words. One view holds that morphology is a domain of knowledge with a spe...
Sami Boudelaa, Friedemann Pulvermüller, Olaf ...
ISNN
2007
Springer
15 years 4 months ago
Neural Networks Training with Optimal Bounded Ellipsoid Algorithm
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
José de Jesús Rubio, Wen Yu
66
Voted
BC
2005
65views more  BC 2005»
14 years 10 months ago
A field-theoretic approach to understanding scale-free neocortical dynamics
Amesoscopicfield-theoreticapproachiscompared with neural network and brain imaging approaches to understanding brain dynamics. Analysis of high spatiotemporal resolution rabbit ele...
Walter J. Freeman