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ICANN
2007
Springer
14 years 2 months ago
Boosting Unsupervised Competitive Learning Ensembles
Topology preserving mappings are great tools for data visualization and inspection in large datasets. This research presents a combination of several topology preserving mapping mo...
Emilio Corchado, Bruno Baruque, Hujun Yin
NN
2002
Springer
123views Neural Networks» more  NN 2002»
13 years 8 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
2006
Springer
101views Neural Networks» more  NN 2006»
13 years 8 months ago
A robot model of the basal ganglia: Behavior and intrinsic processing
The existence of multiple parallel loops connecting sensorimotor systems to the basal ganglia has given rise to proposals that these nuclei serve as a selection mechanism resolvin...
Tony J. Prescott, Fernando M. Montes Gonzál...
BMCBI
2010
152views more  BMCBI 2010»
13 years 8 months ago
Comparative study of three commonly used continuous deterministic methods for modeling gene regulation networks
Background: A gene-regulatory network (GRN) refers to DNA segments that interact through their RNA and protein products and thereby govern the rates at which genes are transcribed...
Martin T. Swain, Johannes J. Mandel, Werner Dubitz...
JMLR
2010
140views more  JMLR 2010»
13 years 3 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink