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A database and deep learning toolbox for noise-optimized, generalized spike inference from calcium imaging.
Rupprecht, Peter; Carta, Stefano; Hoffmann, Adrian; Echizen, Mayumi; Blot, Antonin; Kwan, Alex C; Dan, Yang; Hofer, Sonja B; Kitamura, Kazuo; Helmchen, Fritjof; Friedrich, Rainer W.
Afiliação
  • Rupprecht P; Brain Research Institute, University of Zürich, Zurich, Switzerland. rupprecht@hifo.uzh.ch.
  • Carta S; Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland. rupprecht@hifo.uzh.ch.
  • Hoffmann A; Brain Research Institute, University of Zürich, Zurich, Switzerland.
  • Echizen M; Brain Research Institute, University of Zürich, Zurich, Switzerland.
  • Blot A; Department of Neurophysiology, University of Tokyo, Tokyo, Japan.
  • Kwan AC; Department of Anesthesiology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
  • Dan Y; Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, United Kingdom.
  • Hofer SB; Biozentrum, University of Basel, Basel, Switzerland.
  • Kitamura K; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
  • Helmchen F; Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley CA, USA.
  • Friedrich RW; Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, United Kingdom.
Nat Neurosci ; 24(9): 1324-1337, 2021 09.
Article em En | MEDLINE | ID: mdl-34341584
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Artefatos / Neuroimagem / Aprendizado Profundo / Neurônios Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Nat Neurosci Assunto da revista: NEUROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Artefatos / Neuroimagem / Aprendizado Profundo / Neurônios Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Nat Neurosci Assunto da revista: NEUROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça País de publicação: Estados Unidos