ModelDB: Deep belief network learns context dependent behavior (Raudies, Zilli, Hasselmo 2014)

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Deep belief network learns context dependent behavior (Raudies, Zilli, Hasselmo 2014)

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Accession:194883

We tested a rule generalization capability with a Deep Belief Network (DBN), Multi-Layer Perceptron network, and the combination of a DBN with a linear perceptron (LP). Overall, the combination of the DBN and LP had the highest success rate for generalization.
Reference:
1 . Raudies F, Zilli EA, Hasselmo ME (2014) Deep belief networks learn context dependent behavior. PLoS One 9:e93250 [PubMed]

Model Information (Click on a link to find other models with that property)

Model Type:	Connectionist Network;
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Simulation Environment:	MATLAB;
Model Concept(s):
Implementer(s):	Raudies, Florian [florian.raudies at gmail.com];