Computational Neuroscience
Language: English
Published by Springer Us, 2026
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 208.44
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - This detailed volume explores practical and reproducible computational techniques and pipelines that span the translational neurosciences continuum. The first section of the book focuses on experimental platforms that generate high-dimensional biological data and the computational methodologies required to transform raw signals into mechanistic insights, while the second half transitions from bench to bedside, illustrating how computational methodologies reshape diagnosis, prognosis, and mechanistic inference across the whole pathophysiological spectrum of the nervous system, from normal brain function to neurological diseases. Written for the highly successful Methods in Molecular Biology series, each chapter provides step-by-step workflows, code snippets, tool recommendations, and the practical guidance needed for positive results.Authoritative and up-to-date, Computational Neuroscience serves as both a reference and a catalyst: a reference for reproducible pipelines across diverse subfields, and a catalyst for interdisciplinary collaboration.…
Seller Inventory # 9781071654392
- Title
- Computational Neuroscience
- Author
- Antonio Di Ieva
- Publisher
- Springer Us
- Publication year
- 2026
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 107165439X
- ISBN 13
- 9781071654392
- Item weight
- 785 grams
- Dimensions
- 260x183x23 mm
This detailed volume explores practical and reproducible computational techniques and pipelines that span the translational neurosciences continuum. The first section of the book focuses on experimental platforms that generate high-dimensional biological data and the computational methodologies required to transform raw signals into mechanistic insights, while the second half transitions from bench to bedside, illustrating how computational methodologies reshape diagnosis, prognosis, and mechanistic inference across the whole pathophysiological spectrum of the nervous system, from normal brain function to neurological diseases. Written for the highly successful Methods in Molecular Biology series, each chapter provides step-by-step workflows, code snippets, tool recommendations, and the practical guidance needed for positive results.
Authoritative and up-to-date, Computational Neuroscience serves as both a reference and a catalyst: a reference for reproducible pipelines across diverse subfields, and a catalyst for interdisciplinary collaboration.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This detailed volume explores practical and reproducible computational techniques and pipelines that span the translational neurosciences continuum. The first section of the book focuses on experimental platforms that generate high-dimensional biological data and the computational methodologies required to transform raw signals into mechanistic insights, while the second half transitions from bench to bedside, illustrating how computational methodologies reshape diagnosis, prognosis, and mechanistic inference across the whole pathophysiological spectrum of the nervous system, from normal brain function to neurological diseases. Written for the highly successful Methods in Molecular Biology series, each chapter provides step-by-step workflows, code snippets, tool recommendations, and the practical guidance needed for positive results.
Authoritative and up-to-date, Computational Neuroscience serves as both a reference and a catalyst: a reference for reproducible pipelines across diverse subfields, and a catalyst for interdisciplinary collaboration.
"About the title" may belong to another edition of this title.
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