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Titlebook: Computational Neuroscience; Drozdstoy Stoyanov,Bogdan Draganski,Claus Lamm Book 2023 The Editor(s) (if applicable) and The Author(s), unde

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發(fā)表于 2025-3-21 16:46:22 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Computational Neuroscience
編輯Drozdstoy Stoyanov,Bogdan Draganski,Claus Lamm
視頻videohttp://file.papertrans.cn/233/232867/232867.mp4
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
叢書(shū)名稱Neuromethods
圖書(shū)封面Titlebook: Computational Neuroscience;  Drozdstoy Stoyanov,Bogdan Draganski,Claus Lamm Book 2023 The Editor(s) (if applicable) and The Author(s), unde
描述This volume looks at the latest advancements in imaging neuroscience methods using magnetic resonance imaging (MRI) and electroencephalography (EEG) to study the healthy and diseased brain. The chapters in this book are organized into five parts. Parts One and Two cover an introduction to this field and the latest use of molecular models. Part Three explores neurophysiological methods for assessment, such as quantitative EEG and event-related potentials. Part Four discusses the advances and innovations made in computational anatomy, and Part Five addresses the challenges faced by researchers prior to the computational neuroscience to find wider translational applications in the field of psychiatry and mental health. In the .Neuromethods. series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory.?.Cutting-edge and comprehensive, .Computational Neuroscience. is a valuable tool for researchers in the psychiatry and mental health fields who want to learn more about ways to incorporate computational approaches into utility and validity of clinical methods..
出版日期Book 2023
關(guān)鍵詞molecular assays; Methods for data acquisition; Quantitative EEG; Instrumental psychomotor assessment; Q
版次1
doihttps://doi.org/10.1007/978-1-0716-3230-7
isbn_softcover978-1-0716-3232-1
isbn_ebook978-1-0716-3230-7Series ISSN 0893-2336 Series E-ISSN 1940-6045
issn_series 0893-2336
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

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書(shū)目名稱Computational Neuroscience被引頻次




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Toward the Use of Research and Diagnostic Algorithmic Rules to Assess the Recurrence of Illness and ndicating that they are manifestations of ROI; (b) patients with MDD, BP1, and BP2 can be classified as MDMD or non-MDMD, indicating that MDD/BD/BP1/BP2 do not reflect overall severity; (c) because ROI is a more important indicator in our precision models, the binary diagnoses of MDD/BD/BP1/BP2 are
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The Concept of Event-Related Oscillations: A Spotlight on Extended Applications. The major focus of the chapter is on some less well recognized extended applications of the concept of EROs in neurocognitive research. Specifically, applications to (1) internal information processing, (2) event-related frequency tuning, (3) event-related spatial synchronization, and (4) detectio
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Computational Anatomy Going Beyond Brain Morphometryop short of considering the unresolved issues in voxel-based quantification currently implemented in the data processing and analysis framework of Statistical Parametric Mapping (SPM12). We conclude with an outlook to the future developments and perspectives in computational anatomy, particularly th
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Neuroimaging Methods Investigating Anterior Insula Alterations in Schizophrenia and Mood Disordersl risk. Significant reduction of the gyrification of the AI has been reported as well. On one hand, BD shares common traits with schizophrenia in terms of GMV reductions in AI but the alterations seem to be less extensive. On the other hand, MDD demonstrates shared GMV reductions of AI with BD. Thus
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Utility of Computational Approaches for Precision Psychiatry: Applications to Substance Use Disorderh has been adapted for the study of addictions with the Addictions Neuroclinical Assessment (ANA) framework (Kwako et al., Biol Psychiatry 80:179–189, 2016), which proposes that the assessment of addictions should cover multiple systems and focus on three key neurofunctional domains: . and . Buildin
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Nanomedicine and Nanotoxicologyndicating that they are manifestations of ROI; (b) patients with MDD, BP1, and BP2 can be classified as MDMD or non-MDMD, indicating that MDD/BD/BP1/BP2 do not reflect overall severity; (c) because ROI is a more important indicator in our precision models, the binary diagnoses of MDD/BD/BP1/BP2 are
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