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© 2017

Mathematical and Theoretical Neuroscience

Cell, Network and Data Analysis

  • Giovanni Naldi
  • Thierry Nieus

Benefits

  • Offers a survey on recent hot topics in computational neuroscience

  • Includes state of the art chapters (within a huge literature)

  • Provides recent applications using big data and modelling

Book

Part of the Springer INdAM Series book series (SINDAMS, volume 24)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Iolanda Morana Roccasalvo, Silvestro Micera, Pier Nicola Sergi
    Pages 45-59
  3. Shyam Diwakar, Chaitanya Nutakki, Sandeep Bodda, Arathi Rajendran, Asha Vijayan, Bipin Nair
    Pages 61-85
  4. Diego Fasoli, Anna Cattani, Stefano Panzeri
    Pages 87-98
  5. Aytül Gökçe, Stephen Coombes, Daniele Avitabile
    Pages 111-121
  6. Marta Favali, Giovanna Citti, Alessandro Sarti
    Pages 123-133
  7. Benedetta Franceschiello, Alessandro Sarti, Giovanna Citti
    Pages 135-149
  8. Nunzio Alberto Borghese
    Pages 151-160
  9. Daniele Orlandi, Alberto Redolfi, Jérôme Revillard, David Manset, Stefan Teipel, Giovanni B. Frisoni
    Pages 161-176
  10. Eero Satuvuori, Irene Malvestio, Thomas Kreuz
    Pages 201-222
  11. Ioannis Delis, Arno Onken, Stefano Panzeri
    Pages 223-237
  12. Alberto Sorrentino, Michele Piana
    Pages 239-253

About this book

Introduction

This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis in neuroscience with applications. The following subjects are considered: mathematical modelling in Neuroscience, analytical  and numerical topics;  statistical analysis in Neuroscience; Neural Networks; Theoretical Neuroscience. The book is addressed to researchers involved in mathematical models applied to neuroscience.

Keywords

Computational Neurosciences Theoretical Neurosciences Biophysics of neuron Biological neural network dynamics Applications of Mathematics

Editors and affiliations

  • Giovanni Naldi
    • 1
  • Thierry Nieus
    • 2
  1. 1.Environment Science and PolicyUniversity of MilanMilanItaly
  2. 2.Department of Biomedical and Clinical SciencesUniversity of MilanMilanItaly

About the editors

Prof. Giovanni Naldi studied Mathematics at the University of Pavia and at the University of Milan, where he also received his PhD in Applied Mathematics. He is currently a full professor of Numerical Analysis at the University of Milan and the director of the ADAMSS (ADvanced Applied Mathematical and Statistical Sciences) Center at the same University. His research work mainly focuses on the numerical analysis of partial differential equations, wavelet-based methods; multiscale models, non-linear evolution phenomena, biomathematics, and computational neuroscience. He has supervised eight doctoral theses and is the author of more than 60 papers. 

Prof. Thiery Nieus received his PhD in Applied Mathematics at the Department of Mathematics F. Enriques in Milan (Italy). His research focuses on the computations performed by neuronal networks. His work involves the analysis and modeling of multiscale data, ranging from single synapses to population recordings. In September 2016 he joined Marcello Massimini’s laboratory (University of Milan, Italy), working on computational models of the thalamocortical circuit and on complexity measures of TMS/EEG data.

Bibliographic information