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

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.

Model Type: Connectionist Network

Simulation Environment: MATLAB

Implementer(s): Raudies, Florian [florian.raudies at gmail.com]

References:

Raudies F, Zilli EA, Hasselmo ME. (2014). Deep belief networks learn context dependent behavior. PloS one 9 [PubMed]