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The SIAM series on Mathematical Neuroscience publishes mathematically grounded work on neural models at all scales. The series includes tutorials, research monographs, and advanced undergraduate and graduate textbooks.  Ancillary material (code, video, slides, data sets, etc.) is welcome.

Daniele Avitabile, Vrije Universiteit Amsterdam
Mathieu Desroches, Inria Center at Université Côte d'Azur
Serafim Rodrigues, Basque Center for Applied Mathematics

Acquisitions Editors:
Elizabeth Greenspan
Paula Callaghan

Editorial Board:
Richard Bertram, Florida State University
Stephen Coombes, University of Nottingham 
Susanne Ditlevsen, University of Copenhagen
Gregory Faye, Université de Toulouse - CNRS
Alain Goriely, University of Oxford 
Kathryn Hess, EPFL
Juergen Jost, Max Planck Institute 
Zachary P. Kilpatrick, University of Colorado Boulder
Vivien Kirk, University of Auckland 
Jonathan Rubin, University of Pittsburgh 
Wilhelm Stannat, TU Berlin 
Lai-Sang Young, Courant Institute of Mathematical Sciences