Computational neurology and psychiatry / Péter Érdi, Basabdatta Sen Bhattacharya, Amy L. Cochran, editors.
Contributor(s): Bhattacharya, Basabdatta Sen,, editor literario
| Cochran, Amy L.,, editor literario | Érdi, Péter,, editor literario
Material type: 
E-bookSeries: (Springer series in bio-/neuroinformatics, 2193-9349 ; volume 6).Publisher: Cham, Switzerland : Springer, 2017Description: 1 recurso en línea.ISBN: 3319499599; 9783319499598.Subject: Neurociencia computacionalOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Madrid Digital Acceso Electrónico (UEM) | FCBS | FCAD | QP357.5 C667 2017 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.20022942 |
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| QP357.5 2022 EB Encyclopedia of Computational Neuroscience | QP357.5 2022 EB Machine Learning in Clinical Neuroscience Foundations and Applications | QP357.5 2023 EB Introducing Computation to Neuroscience : Selected Papers of George Gerstein | QP357.5 C667 2017 EB Computational neurology and psychiatry | QP357.5 ES Neuroinformatics | QP357.5 ES The Neuroscientist | QP357.5 E539 2015 EB Encyclopedia of Computational Neuroscience |
SpringerLink Springer Engineering eBooks 2017 English+International
From the Content -- Introduction -- Outgrowing Neurological Diseases: Microcircuits, Conduction Delay and Dynamic Diseases -- Extracellular Potassium and Focal Seizures? Insight From in Silico Study -- Time Series and Interactions: Data Processing in Epilepsy Research.
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.
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