The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding.

Testolin, Alberto; De Filippo De Grazia, Michele; Zorzi, Marco

Testolin, Alberto; De Filippo De Grazia, Michele; Zorzi, Marco.

Afiliación

Testolin A; Department of General Psychology and Padova Neuroscience Center, University of Padova Padova, Italy.
De Filippo De Grazia M; Department of General Psychology and Padova Neuroscience Center, University of Padova Padova, Italy.
Zorzi M; Department of General Psychology and Padova Neuroscience Center, University of PadovaPadova, Italy; San Camillo Hospital IRCCSVenice, Italy.

Front Comput Neurosci ; 11: 13, 2017.

Article en En | MEDLINE | ID: mdl-28377709

Palabras clave

autoencoders; connectionist modeling; gain modulation; restricted Boltzmann machines; sensorimotor transformations; space coding; sparseness; unsupervised deep learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Comput Neurosci Año: 2017 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

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