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Titlebook: Computational Neurology and Psychiatry; Péter Érdi,Basabdatta Sen Bhattacharya,Amy L. Coch Book 2017 Springer International Publishing AG

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发表于 2025-3-21 17:37:33 | 显示全部楼层 |阅读模式
书目名称Computational Neurology and Psychiatry
编辑Péter Érdi,Basabdatta Sen Bhattacharya,Amy L. Coch
视频videohttp://file.papertrans.cn/233/232860/232860.mp4
概述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 messag
丛书名称Springer Series in Bio-/Neuroinformatics
图书封面Titlebook: Computational Neurology and Psychiatry;  Péter Érdi,Basabdatta Sen Bhattacharya,Amy L. Coch Book 2017 Springer International Publishing AG
描述.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..
出版日期Book 2017
关键词Neurocomputational Models; Brain Decision-Making; Models of Mood; Modeling Neural Circuits; Brain Connec
版次1
doihttps://doi.org/10.1007/978-3-319-49959-8
isbn_softcover978-3-319-84284-4
isbn_ebook978-3-319-49959-8Series ISSN 2193-9349 Series E-ISSN 2193-9357
issn_series 2193-9349
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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发表于 2025-3-21 23:18:26 | 显示全部楼层
Outgrowing Neurological Diseases: Microcircuits, Conduction Delay and Childhood Absence Epilepsy,rtunities to identify the mechanisms for dynamic changes in the nervous system. Many of these diseases are channelopathies. The computational challenge is to understand how a constantly present molecular defect in an ion channel can give rise to paroxysmal changes in neurodynamics. The most common o
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Time Series and Interactions: Data Processing in Epilepsy Research, of neural data has opened a new era of brain research, where new data analysis methods are needed to take full advantage of the available data. Seizure zones, for example, were traditionally localized manually, using the extremely good pattern matching or mismatch recognition skills of the human br
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Oscillatory Neural Models of the Basal Ganglia for Action Selection in Healthy and Parkinsonian Casost common pathology: Parkinson’s disease (PD). The chapter begins with a review of the basal ganglia and PD, which briefly describes the anatomical structure and connectivity as well as typical dynamics of neuronal activity which is mostly oscillatory. Also we provide a short review of computationa
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Attachment Modelling: From Observations to Scenarios to Designs,ulation of Attachment Theory. It does this by reconceptualising it as a cognitive architecture that can operate within multi-agent simulations. This is relevant to computational psychiatry because attachment phenomena are broad in scope and range from healthy everyday interactions to psychopathology
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