Computational Modelling of the Brain: Modelling Approaches to Cells, Circuits and Networks

This book provides an up-to-date overview of computational modelling of neural dynamics, covering topics from single-cell to network levels, with a focus on experimental techniques and practical applications. It is aimed at experimenters and graduate students with little or no prior knowledge of modelling.

Format: Hardback
Length: 359 pages
Publication date: 27 April 2022
Publisher: Springer Nature Switzerland AG

This comprehensive volume provides a timely and up-to-date exploration of fundamental concepts and cutting-edge methodologies in computational modelling, encompassing the utilization of experimental techniques that are either directly inspired by or related to these approaches. The book adeptly introduces state-of-the-art topics, catering to both non-specialists and experts, spanning from single-cell and molecular descriptions to circuits and networks.

Four central themes are meticulously addressed, encompassing the intricate subcellular modelling of ion channels and signalling pathways at the molecular level, the comprehensive single-cell modelling across diverse spatial complexities, the intricate network modelling that ranges from local microcircuits to large-scale simulations of entire brain areas, and practical examples that underscore the practical applications of computational modelling in neuroscience.

Within each chapter, a systematic overview is presented, offering the reader a foundational understanding of the computational modelling of neural dynamics. This book is specifically designed to cater to experimenters and graduate students with limited or no prior knowledge of modelling, who are eager to delve into the realm of computational models, ranging from single molecules to inter-areal communication within brain structures.

The appeal of this book extends to computational neuroscientists, engineers, physicists, and mathematicians who are passionate about contributing to the field of neuroscience. Chapters 6, 10, and 11 are graciously made available open access through a Creative Commons Attribution 4.0 International License, accessible via the link: link.springer.com.

Weight: 896g
Dimension: 254 x 178 (mm)
ISBN-13: 9783030894382
Edition number: 1st ed. 2022