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NN
2006
Springer
140views Neural Networks» more  NN 2006»
13 years 4 months ago
Neural mechanism for stochastic behaviour during a competitive game
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...
Alireza Soltani, Daeyeol Lee, Xiao-Jing Wang
NN
2006
Springer
13 years 4 months ago
SOM's mathematics
- Since the discovery of the SOMs by T. Kohonen, many results have been found in order to get a better description of their behaviour. Most of them are very convincing but from a m...
Jean-Claude Fort
NN
2006
Springer
128views Neural Networks» more  NN 2006»
13 years 4 months ago
Topographic map formation of factorized Edgeworth-expanded kernels
We introduce a new learning algorithm for topographic map formation of Edgeworth-expanded Gaussian activation kernels. In order to avoid the rapid increase in kernel parameters, a...
Marc M. Van Hulle
NN
2006
Springer
234views Neural Networks» more  NN 2006»
13 years 4 months ago
Attention in natural scenes: Neurophysiological and computational bases
How does attention operate in natural scenes? We show that the receptive fields of inferior temporal cortex neurons that implement object representations become small and located ...
Edmund T. Rolls, Gustavo Deco
NN
2006
Springer
13 years 4 months ago
Rapid decision threshold modulation by reward rate in a neural network
Optimal performance in two-alternative, free response decision making tasks can be achieved by the drift-diffusion model of decision making - which can be implemented in a neural ...
Patrick Simen, Jonathan D. Cohen, Philip Holmes
NN
2006
Springer
13 years 4 months ago
Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making
The basal ganglia (BG) coordinate decision making processes by facilitating adaptive frontal motor commands while suppressing others. In previous work, neural network simulations ...
Michael J. Frank
NN
2006
Springer
108views Neural Networks» more  NN 2006»
13 years 4 months ago
Performance analysis of LVQ algorithms: A statistical physics approach
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
Anarta Ghosh, Michael Biehl, Barbara Hammer
NN
2006
Springer
218views Neural Networks» more  NN 2006»
13 years 4 months ago
Modeling attention to salient proto-objects
Selective visual attention is believed to be responsible for serializing visual information for recognizing one object at a time in a complex scene. But how can we attend to objec...
Dirk Walther, Christof Koch
NN
2006
Springer
13 years 4 months ago
Self-organizing neural networks to support the discovery of DNA-binding motifs
Identification of the short DNA sequence motifs that serve as binding targets for transcription factors is an important challenge in bioinformatics. Unsupervised techniques from t...
Shaun Mahony, Panayiotis V. Benos, Terry J. Smith,...
NN
2006
Springer
13 years 4 months ago
Missing data imputation through GTM as a mixture of t-distributions
The Generative Topographic Mapping (GTM) was originally conceived as a probabilistic alternative to the well-known, neural networkinspired, Self-Organizing Maps. The GTM can also ...
Alfredo Vellido