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» The Recurrent Control Neural Network
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NECO
2010
103views more  NECO 2010»
14 years 8 months ago
Population Models of Temporal Differentiation
Temporal derivatives are computed by a wide variety of neural circuits, but the problem of performing this computation accurately has received little theoretical study. Here we sy...
Bryan P. Tripp, Chris Eliasmith
BIOSYSTEMS
2007
123views more  BIOSYSTEMS 2007»
15 years 1 months ago
Real time computation: Zooming in on population codes
Information processing in nervous systems intricately combines computation at the neuronal and network levels. Many computations may be envisioned as sequences of signal processin...
Olivier Rochel, Netta Cohen
TSMC
2008
140views more  TSMC 2008»
15 years 1 months ago
Adaptive Feedback Control by Constrained Approximate Dynamic Programming
A constrained approximate dynamic programming (ADP) approach is presented for designing adaptive neural network (NN) controllers with closed-loop stability and performance guarante...
S. Ferrari, J. E. Steck, R. Chandramohan
NN
2002
Springer
113views Neural Networks» more  NN 2002»
15 years 1 months ago
Control of exploitation-exploration meta-parameter in reinforcement learning
In reinforcement learning (RL), the duality between exploitation and exploration has long been an important issue. This paper presents a new method that controls the balance betwe...
Shin Ishii, Wako Yoshida, Junichiro Yoshimoto
ESOA
2006
15 years 5 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