1173 search results - page 120 / 235 » Neural networks for computational neuroscience |
174
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CVPR
1997
IEEE
16 years 8 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
153
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ISCAS
2006
IEEE
16 years 10 days ago
2006
IEEE
Abstract—We describe a neuromorphic chip with a twolayer excitatory-inhibitory recurrent network of spiking neurons that exhibits localized clusters of neural activity. Unlike ot...
192
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CEC
2009
IEEE
16 years 1 months ago
2009
IEEE
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
168
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FPL
2009
Springer
15 years 11 months ago
2009
Springer
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
167
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IWANN
2001
Springer
15 years 10 months ago
2001
Springer
It is presented in this paper a new approach to the problem of feature extraction. The approach is based on the edge detection, where a set of feature vectors is taken from the sou...