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» Sensor Errors Prediction Using Neural Networks
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BIOADIT
2004
Springer
15 years 3 months ago
Movement Generation and Control with Generic Neural Microcircuits
Abstract. Simple linear readouts from generic neural microcircuit models can be trained to generate and control basic movements, e.g., reaching with an arm to various target points...
Prashant Joshi, Wolfgang Maass
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 3 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
ESANN
2003
14 years 11 months ago
Autonomous learning algorithm for fully connected recurrent networks
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre
IPSN
2007
Springer
15 years 4 months ago
Robust system multiangulation using subspace methods
Sensor location information is a prerequisite to the utility of most sensor networks. In this paper we present a robust and low-complexity algorithm to self-localize and orient se...
Joshua N. Ash, Lee C. Potter
NN
2002
Springer
14 years 9 months ago
Opponent interactions between serotonin and dopamine
Anatomical and pharmacological evidence suggests that the dorsal raphe serotonin system and the ventral tegmental and substantia nigra dopamine system may act as mutual opponents....
Nathaniel D. Daw, Sham Kakade, Peter Dayan