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Springer INdAM Series

Mathematical and Theoretical Neuroscience

Cell, Network and Data Analysis

Editors: Naldi, Giovanni, Nieus, Thierry (Eds.)

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  • 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
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  • ISBN 978-3-319-68297-6
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About this book

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.

About the authors

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.

Table of contents (15 chapters)

Table of contents (15 chapters)
  • From Single Neuron Activity to Network Information Processing: Simulating Cortical Local Field Potentials and Thalamus Dynamic Regimes with Integrate-and-Fire Neurons

    Pages 1-23

    Mazzoni, Alberto

  • Computational Modeling as a Means to Defining Neuronal Spike Pattern Behaviors

    Pages 25-43

    Venkadesh, Siva (et al.)

  • Chemotactic Guidance of Growth Cones: A Hybrid Computational Model

    Pages 45-59

    Roccasalvo, Iolanda Morana (et al.)

  • Mathematical Modelling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions

    Pages 61-85

    Diwakar, Shyam (et al.)

  • Bifurcation Analysis of a Sparse Neural Network with Cubic Topology

    Pages 87-98

    Fasoli, Diego (et al.)

Buy this book

eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-319-68297-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-68296-9
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $109.99
price for USA in USD
  • ISBN 978-3-030-09828-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Mathematical and Theoretical Neuroscience
Book Subtitle
Cell, Network and Data Analysis
Editors
  • Giovanni Naldi
  • Thierry Nieus
Series Title
Springer INdAM Series
Series Volume
24
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-68297-6
DOI
10.1007/978-3-319-68297-6
Hardcover ISBN
978-3-319-68296-9
Softcover ISBN
978-3-030-09828-5
Series ISSN
2281-518X
Edition Number
1
Number of Pages
IX, 253
Topics

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