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Publisher Correction: A transcriptomic axis predicts state modulation of cortical interneurons.
Bugeon, Stéphane; Duffield, Joshua; Dipoppa, Mario; Ritoux, Anne; Prankerd, Isabelle; Nicoloutsopoulos, Dimitris; Orme, David; Shinn, Maxwell; Peng, Han; Forrest, Hamish; Viduolyte, Aiste; Reddy, Charu Bai; Isogai, Yoh; Carandini, Matteo; Harris, Kenneth D.
Afiliación
  • Bugeon S; UCL Queen Square Institute of Neurology, University College London, London, UK. s.bugeon@ucl.ac.uk.
  • Duffield J; UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Dipoppa M; UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Ritoux A; Center for Theoretical Neuroscience, Columbia University, New York, NY, USA.
  • Prankerd I; UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Nicoloutsopoulos D; UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Orme D; UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Shinn M; UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Peng H; UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Forrest H; Department of Physics, University of Oxford, Oxford, UK.
  • Viduolyte A; UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Reddy CB; UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Isogai Y; UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Carandini M; UCL Institute of Ophthalmology, University College London, London, UK.
  • Harris KD; Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK.
Nature ; 609(7927): E10, 2022 Sep.
Article en En | MEDLINE | ID: mdl-36008728

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nature Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nature Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido