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» Neural networks for computational neuroscience
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142
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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
16 years 7 days ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
157
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CATA
2000
15 years 7 months ago
Neocognitron for rotated pattern recognition
Ideally computer pattern recognition systems should be insensitive to scaling, translation, distortion and rotation. Many neural network models have been proposed to address this ...
Michael Tran, Siddheswar Ray, Ronald Pose
IJCNN
2007
IEEE
16 years 11 days ago
Encoding Complete Body Models Enables Task Dependent Optimal Behavior
— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...
Oliver Herbort, Martin V. Butz
IJCNN
2006
IEEE
16 years 3 days ago
Complex Phase Synchronization in an Array of Oscillators Coupled by Time-Varying Resistor
— In recent years, many people have been trying to develop some applications to information processing by exploiting oscillatory phenomena in neural networks. Bifurcation and sta...
Yoko Uwate, Yoshifumi Nishio
IJCNN
2000
IEEE
15 years 10 months ago
Biologically Inspired Neural Controllers for Motor Control in a Quadruped Robot
This paper presents biologically inspired neural controllers for generating motor patterns in a quadruped robot. Sets of arti cial neural networks are presented which provide 1 p...
Aude Billard, Auke Jan Ijspeert