Mathematical Modelling of the Human Brain II: From Glymphatics to Deep Learning
Author:   Jørgen S. Dokken ,  Kent-Andre Mardal ,  Marie E. Rognes ,  Lars Magnus Valnes
Publisher:   Springer Nature Switzerland AG
Volume:   7
ISBN:  

9783032006783


Pages:   150
Publication Date:   11 January 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Our Price $100.29 Quantity:  
Pre-Order

Share |

Mathematical Modelling of the Human Brain II: From Glymphatics to Deep Learning


Overview

This open access book revolves around predictive mathematical modelling and simulation of brain multiphysics with an emphasis on cerebrospinal fluid flow and solute transport in and around the human brain. The book consists of 10 self-contained and relatively short chapters, each offering a rapid introduction to a key problem or topic, supported by open source software. Readers will gain insights into state-of-the-art mathematical tools and techniques for modelling and simulation of brain multiphysics ranging from classical finite element approaches, network-based modelling techniques and deep neural networks. The target audiences are researchers in applied mathematics, scientific computing, biophysics, bioengineering or computational neuroscience interested in a compact introduction to image-based computational modeling of brain multiphysics and cutting-edge available tools.

Full Product Details

Author:   Jørgen S. Dokken ,  Kent-Andre Mardal ,  Marie E. Rognes ,  Lars Magnus Valnes
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Volume:   7
ISBN:  

9783032006783


ISBN 10:   3032006783
Pages:   150
Publication Date:   11 January 2026
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1 From brain physiology to brain physics.- 2 Meshing the intracranial compartments: Cerebellum, cerebrum, brainstem and cerebrospinal fluid.- 3 Segmenting, meshing and modeling CSF spaces.- 4 The pulsating brain: An interface-coupled fluid-poroelasticinteraction model of the cranial cavity.- 5 Quantifying cerebrospinal fluid tracer concentration in the brain.- 6 Signal increase ratio prediction with CNNs.- 7 Estimating molecular transport parameters using inverse PDEmodels.- 8 Two-compartment modeling of tracer transport in the brain.- 9 An introduction to identifying velocity fields from contrast imaging via PDE-constrained optimization. 10 An introduction to network models of neurodegenerative diseases.

Reviews

Author Information

Tab Content 6

Author Website:  

Countries Available

All regions
Latest Reading Guide

NOV RG 20252

 

Shopping Cart
Your cart is empty
 Shopping cart
Mailing List

 

Sign up now