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» Neural Dynamics with Stochasticity
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IJON
2006
71views more  IJON 2006»
14 years 11 months ago
A neurocomputational model of stochastic resonance and aging
Stochastic resonance (SR) is fundamental to physical and biological processes. Here, we use a stochastic gain-tuning model to investigate interactions between aging-related increa...
Shu-Chen Li, Timo von Oertzen, Ulman Lindenberger
ICASSP
2009
IEEE
15 years 6 months ago
A new stochastic estimator for tremor frequency tracking
An important parameter in analysis of physiological tremor is the diagnosis and study of neurological disorders. The instantaneous tremor frequency (ITF) is an important parameter...
Alp Kucukelbir, Azadeh Kushki, Konstantinos N. Pla...
CIARP
2006
Springer
15 years 1 months ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...
WSC
1998
15 years 1 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 3 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone