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» Optimal spontaneous activity in neural network modeling
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ICANN
2009
Springer
15 years 1 months ago
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
Alexander Hans, Steffen Udluft
ESOA
2006
15 years 1 months ago
A Decentralised Car Traffic Control System Simulation Using Local Message Propagation Optimised with a Genetic Algorithm
This paper describes a car traffic control simulation realised in a decentralised way by message propagations: congested nodes (roads intersections) send speed-up or slow-down mess...
Martin Kelly, Giovanna Di Marzo Serugendo
NN
2006
Springer
14 years 10 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
JSW
2008
123views more  JSW 2008»
14 years 10 months ago
Component-oriented Reliability Analysis and Optimal Version-upgrade Problems for Open Source Software
The current software development environment has been changing into new development paradigms such as concurrent distributed development environment and the so-called open source p...
Yoshinobu Tamura, Shigeru Yamada
ICANN
2005
Springer
15 years 3 months ago
Image Segmentation by Complex-Valued Units
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
Cornelius Weber, Stefan Wermter