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» A Feedforward Neural Network based on Multi-Valued Neurons
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IWANN
2001
Springer
13 years 12 months ago
Neuronal Models with Current Inputs
We propose a novel approach based upon a superposition of ‘colored’ and ‘white’ noise to approximate current inputs in neural models. Numerical results show that the novel ...
Jianfeng Feng
FPL
1994
Springer
170views Hardware» more  FPL 1994»
13 years 11 months ago
A Fast FPGA Implementation of a General Purpose Neuron
The implementation of larger digital neural networks has not been possible due to the real-estate requirements of single neurons. We present an expandable digital architecture whic...
Valentina Salapura, Michael Gschwind, Oliver Maisc...
ISNN
2010
Springer
14 years 10 days ago
Visual Selection and Attention Shifting Based on FitzHugh-Nagumo Equations
In this paper, we make some analysis on the FitzHugh-Nagumo model and improve it to build a neural network, and the network is used to implement visual selection and attention shif...
Haili Wang, Yuanhua Qiao, Lijuan Duan, Faming Fang...
EVOW
2001
Springer
14 years 1 days ago
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
Abstract. We describe a set of preliminary experiments to evolve spiking neural controllers for a vision-based mobile robot. All the evolutionary experiments are carried out on phy...
Dario Floreano, Claudio Mattiussi
ESANN
2000
13 years 9 months ago
A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model
Using a nonlinear 15-state helicopter model in 6 DOF, two di erent neural control systems, both acting as rate damping, have been designed and compared. They are both based on the ...
Piero A. Gili, Manuela Battipede