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Computational modelling of the brain: modelling approaches to cells, circuits and networks

Computational modelling of the brain: modelling approaches to cells, circuits and networks
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Field name Details
Dewey Class 612.820113
Title Computational modelling of the brain (M) : modelling approaches to cells, circuits and networks / edited by Michele Giugliano, Mario Negrello, Daniele Linaro
Author Giugliano, Michele
Added Personal Name Negrello, Mario
Linaro Daniele
Publication Cham : Springer , 2022
Physical Details xii, 359 pages : ill. ; 26 cm.
Series Advances in experimental medicine and biology. Cellular neuroscience, neural circuits and systems neuroscience ; 1359
ISBN 9783030894382
Summary Note 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.:
Internet Site https://doi.org/10.1007/978-3-030-89439-9
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Barcode Shelf Location Collection Volume Ref. Branch Status Due Date
0000000044630 572.788 GIU General   SISSA . . Available .  
. Catalogue Record 52496 ItemInfo Beginning of record . Catalogue Record 52496 ItemInfo Top of page .

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