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NECO
2007
150views more  NECO 2007»
15 years 5 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
NECO
2007
258views more  NECO 2007»
15 years 5 months ago
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
Razvan V. Florian
NETWORK
2007
234views more  NETWORK 2007»
15 years 5 months ago
Surveillance Wireless Sensor Networks: Deployment Quality Analysis
Surveillance wireless sensor networks are deployed at perimeter or border locations to detect unauthorized intrusions. For deterministic deployment of sensors, the quality of depl...
Ertan Onur, Cem Ersoy, Hakan Deliç, Lale Ak...
NN
2007
Springer
15 years 5 months ago
Perception through visuomotor anticipation in a mobile robot
Several scientists suggested that certain perceptual qualities are based on sensorimotor anticipation: for example, the softness of a sponge is perceived by anticipating the sensa...
Heiko Hoffmann
PAAPP
2007
109views more  PAAPP 2007»
15 years 5 months ago
Relation rule mining
\Web users are nowadays confronted with the huge variety of available information sources whose content is not targeted at any specific group or layer. Recommendation systems aim...
Mehdi Adda, Rokia Missaoui, Petko Valtchev
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