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Catalogue Tag Display
Catalogue Tag Display
MARC 21
Computational modelling of the brain: modelling approaches to cells, circuits and networks
Tag
Description
020
$a9783030894382
082
$a612.820113
099
$a572.788 GIU
100
$aGiugliano, Michele
245
$aComputational modelling of the brain$hM$bmodelling approaches to cells, circuits and networks$cedited by Michele Giugliano, Mario Negrello, Daniele Linaro
260
$aCham$bSpringer$c2022
300
$axii, 359 pages$bill.$c26 cm.
440
$aAdvances in experimental medicine and biology. Cellular neuroscience, neural circuits and systems neuroscience$v1359
520
$a
This volume offers an up-to-date overview of essential concepts and modern approaches to computational modelling, including the use of experimental techniques related to or directly inspired by them. The book introduces, at increasing levels of complexity and with the non-specialist in mind, state-of-the-art topics ranging from single-cell and molecular descriptions to circuits and networks. Four major themes are covered, including subcellular modelling of ion channels and signalling pathways at the molecular level, single-cell modelling at different levels of spatial complexity, network modelling from local microcircuits to large-scale simulations of entire brain areas and practical examples. Each chapter presents a systematic overview of a specific topic and provides the reader with the fundamental tools needed to understand the computational modelling of neural dynamics. This book is aimed at experimenters and graduate students with little or no prior knowledge of modelling who are interested in learning about computational models from the single molecule to the inter-areal communication of brain structures. The book will appeal to computational neuroscientists, engineers, physicists and mathematicians interested in contributing to the field of neuroscience. Chapters 6, 10 and 11 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
700
$aNegrello, Mario
700
$aLinaro Daniele
856
$u
https://doi.org/10.1007/978-3-030-89439-9
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