Overview
- Reports on computational studies of brain and mind disease
- Describes computational models and their use in practice
- Includes background information on the biology of the diseases
- With take-home messages for both neurologists and computer scientists
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Bio-/Neuroinformatics (SSBN, volume 6)
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Table of contents (15 chapters)
Keywords
- Neurocomputational Models
- Brain Decision-Making
- Models of Mood
- Modeling Neural Circuits
- Brain Connectivity
- Models of Synaptic Plasticity
- Neural Mass Model
- EEG Data
- Causality Analysis
- High-Frequency Oscillations
- Seizure Prediction Models
- Dynamic Causal Modeling (DCM)
- Bayesian Model Selection
- Spiking Models
- Volume Transmission
- Models of Attachment
- Cerebellar Networks
- Models of Action Selection
About this book
This book presents the latest research in computational methods for modeling and simulating brain disorders. In particular, it shows how mathematical models can be used to study the relationship between a given disorder and the specific brain structure associated with that disorder. It also describes the emerging field of computational psychiatry, including the study of pathological behavior due to impaired functional connectivity, pathophysiological activity, and/or aberrant decision-making. Further, it discusses the data analysis techniques that will be required to analyze the increasing amount of data being generated about the brain. Lastly, the book offers some tips on the application of computational models in the field of quantitative systems pharmacology. Mainly written for computational scientists eager to discover new application fields for their model, this book also benefits neurologists and psychiatrists wanting to learn about new methods.
Editors and Affiliations
Bibliographic Information
Book Title: Computational Neurology and Psychiatry
Editors: Péter Érdi, Basabdatta Sen Bhattacharya, Amy L. Cochran
Series Title: Springer Series in Bio-/Neuroinformatics
DOI: https://doi.org/10.1007/978-3-319-49959-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-49958-1Published: 09 February 2017
Softcover ISBN: 978-3-319-84284-4Published: 18 July 2018
eBook ISBN: 978-3-319-49959-8Published: 25 January 2017
Series ISSN: 2193-9349
Series E-ISSN: 2193-9357
Edition Number: 1
Number of Pages: VI, 448
Number of Illustrations: 38 b/w illustrations, 119 illustrations in colour
Topics: Computational Intelligence, Simulation and Modeling, Neurosciences, Mathematical Models of Cognitive Processes and Neural Networks