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136
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JMLR
2010
151views more  JMLR 2010»
14 years 10 months ago
Understanding the difficulty of training deep feedforward neural networks
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
Xavier Glorot, Yoshua Bengio
84
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ICANN
2007
Springer
15 years 10 months ago
Neurotransmitter Fields
Neurotransmitter fields differ from neural fields in the underlying principle that the state variables are not the neuron action potentials, but the chemical concentration of neuro...
Douglas S. Greer
137
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CCIA
2006
Springer
15 years 7 months ago
Tactical modularity for evolutionary animats
In this paper, we use a massive modular architecture for the generation of complex behaviours in complex robots within the evolutionary robotics framework. We define two different ...
Ricardo A. Téllez, Cecilio Angulo
131
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ESANN
2004
15 years 5 months ago
Reducing connectivity by using cortical modular bands
The way information is represented and processed in a neural network may have important consequences on its computational power and complexity. Basically, information representatio...
Julien Vitay, Nicolas P. Rougier, Fréd&eacu...
148
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ICANN
2010
Springer
15 years 1 months ago
Learning in a Unitary Coherent Hippocampus
Abstract. A previous paper [2] presented a model (UCPF-HC) of the hippocampus as a unitary coherent particle filter, which combines the classical hippocampal roles of associative m...
Charles W. Fox, Tony J. Prescott