Recurrent networks with soft-thresholding nonlinearities for lightweight coding.

Kafashan, MohammadMehdi; Ching, ShiNung

Kafashan, MohammadMehdi; Ching, ShiNung.

Afiliação

Kafashan M; Department of Electrical and Systems Engineering, Washington University in St. Louis, One Brookings Drive, Campus Box 1042, MO 63130, United States; Department of Neurobiology, Harvard Medical School, 220 Longwood Ave, Boston, MA 02115, United States. Electronic address: kafashan@ese.wustl.edu.
Ching S; Department of Electrical and Systems Engineering, Washington University in St. Louis, One Brookings Drive, Campus Box 1042, MO 63130, United States; Division of Biology and Biomedical Sciences, Washington University in St. Louis, One Brookings Drive, Campus Box 1042, MO 63130, United States. Electronic address: shinung@ese.wustl.edu.

Neural Netw ; 94: 212-219, 2017 Oct.

Article em En | MEDLINE | ID: mdl-28806715

Assuntos

Redes Neurais de Computação; Aprendizado de Máquina não Supervisionado

Palavras-chave

Efficient sparse coding; Neural networks; Proximal gradient descent; Short-term memory; Unsupervised learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Aprendizado de Máquina não Supervisionado Tipo de estudo: Prognostic_studies Idioma: En Revista: Neural Netw Assunto da revista: NEUROLOGIA Ano de publicação: 2017 Tipo de documento: Article

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