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NN
2000
Springer
128views Neural Networks» more  NN 2000»
9 years 5 months ago
A recurrent neural network for solving linear projection equations
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
Youshen Xia, Jun Wang
NN
2000
Springer
148views Neural Networks» more  NN 2000»
9 years 5 months ago
Anxiety-like behavior in rats: a computational model
This work describes a neural network model of the rat exploratory behavior in the elevated plus-maze, a test used to study anxiety. It involves three parameters: drive to explore;...
Cristiane Salum, Silvio Morato, Antônio C. R...
NN
2000
Springer
123views Neural Networks» more  NN 2000»
9 years 5 months ago
Visual cortical mechanisms of perceptual grouping: interacting layers, networks, columns, and maps
The visual cortex has a laminar organization whose circuits form functional columns in cortical maps. How this laminar architecture supports visual percepts is not well understood...
William D. Ross, Stephen Grossberg, Ennio Mingolla
NN
2000
Springer
134views Neural Networks» more  NN 2000»
9 years 5 months ago
Generic modeling of chemotactic based self-wiring of neural networks
The proper functioning of the nervous system depends critically on the intricate network of synaptic connections that are generated during the system development. During the netwo...
Ronen Segev, Eshel Ben-Jacob
NN
2000
Springer
165views Neural Networks» more  NN 2000»
9 years 5 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
NN
2000
Springer
161views Neural Networks» more  NN 2000»
9 years 5 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys
NN
2000
Springer
150views Neural Networks» more  NN 2000»
9 years 5 months ago
Multi-step-ahead prediction using dynamic recurrent neural networks
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
NN
2000
Springer
142views Neural Networks» more  NN 2000»
9 years 5 months ago
Towards a neural network based therapy for hallucinatory disorders
Pattern completion in a neural network model of the thalamus and a biologically plausible model of synaptic plasticity are the key concepts used in this paper for analyzing some c...
Javier Ropero Peláez
NN
2000
Springer
151views Neural Networks» more  NN 2000»
9 years 5 months ago
Information complexity of neural networks
Mark A. Kon, Leszek Plaskota
NN
2000
Springer
145views Neural Networks» more  NN 2000»
9 years 5 months ago
Best approximation by Heaviside perceptron networks
In Lp-spaces with p [1, ) there exists a best approximation mapping to the set of functions computable by Heaviside perceptron networks with n hidden units; however for p (1, ) ...
Paul C. Kainen, Vera Kurková, Andrew Vogt
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