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NN
2002
Springer
161views Neural Networks» more  NN 2002»
9 years 2 months ago
AANN: an alternative to GMM for pattern recognition
The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...
B. Yegnanarayana, S. P. Kishore
NN
2002
Springer
137views Neural Networks» more  NN 2002»
9 years 2 months ago
Acetylcholine in cortical inference
Acetylcholine (ACh) plays an important role in a wide variety of cognitive tasks, such as perception, selective attention, associative learning, and memory. Extensive experimental...
Angela J. Yu, Peter Dayan
NN
2002
Springer
226views Neural Networks» more  NN 2002»
9 years 2 months ago
Data visualisation and manifold mapping using the ViSOM
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...
Hujun Yin
NN
2002
Springer
125views Neural Networks» more  NN 2002»
9 years 2 months ago
Neuromodulation of decision and response selection
We present a model for the attentional neuromodulation of decision and selection processes. The model assumes that phasic responses in the brain nucleus Locus Coeruleus modulate, ...
Marius Usher, Eddy J. Davelaar
NN
2002
Springer
136views Neural Networks» more  NN 2002»
9 years 2 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
NN
2002
Springer
224views Neural Networks» more  NN 2002»
9 years 2 months ago
Optimal design of regularization term and regularization parameter by subspace information criterion
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
Masashi Sugiyama, Hidemitsu Ogawa
NN
2002
Springer
123views Neural Networks» more  NN 2002»
9 years 2 months ago
Neuromodulation and plasticity in an autonomous robot
In this paper we implement a computational model of a neuromodulatory system in an autonomous robot. The output of the neuromodulatory system acts as a value signal, modulating wi...
Olaf Sporns, William H. Alexander
NN
2002
Springer
9 years 2 months ago
Dopamine-dependent plasticity of corticostriatal synapses
Knowledge of the effect of dopamine on corticostriatal synaptic plasticity has advanced rapidly over the last 5 years. We consider this new knowledge in relation to three factors ...
John N. J. Reynolds, Jeffery R. Wickens
NN
2002
Springer
115views Neural Networks» more  NN 2002»
9 years 2 months ago
A self-organising network that grows when required
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow
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