Editorial: Reproducibility and Rigour in Computational Neuroscience
Editorial: Reproducibility and Rigour in Computational Neuroscience
S. Crook,Andrew P. Davison,R. McDougal,H. Plesser
TLDR
This paper aims to demonstrate the efforts towards in-situ applicability of EMMARM, the objective of which is to provide real-time information about the “habitats” of Neuroscience and Medicine.
Abstract
1 School of Mathematical and Statistical Sciences, School of Life Sciences, Arizona State University, Tempe, AZ, United States, Department of Integrative and Computational Neuroscience, Paris-Saclay Institute of Neuroscience, CNRS/Université Paris-Saclay, Gif-sur-Yvette, France, Department of Biostatistics and Center for Medical Informatics, Yale University, New Haven, CT, United States, 4 Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway, 5 Institute of Neuroscience and Medicine (INM-6), Jülich Research Centre, Jülich, Germany