Computational Neurology and Psychiatry
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Beschreibung
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.
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.
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
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Péter Érdi
Themen in »Computational Neurology and Psychiatry«
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