9780262045049 - Elements of Functional Magnetic Resonance Imaging di Wager, Tor; Lindquist, Martin A. (19 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Condizione: new. Paperback. A comprehensive, accessible treatment of fMRI neuroimaging, covering conceptual foundations, technical details, and contemporary applications.The growing prevalence of neuroimaging, particularly fMRI, poses a challenge. As an inherently technical enterprise, it requires a synthesis of biological, computational, statistical, and psychological expertise that spans many fields. Providing a much-needed comprehensive treatment of the subject designed for practitioners working with neuroimaging data as well as non-specialists, this textbook introduces the fundamentals of how fMRI works and the principles that underlie it. Tor Wager and Martin Lindquist begin with a broad conceptual overview of what neuroimaging can and cannot say about the mind and behavior before moving to in-depth coverage of technical and mathematical detail. Topics include MRI physics and data acquisition, physiology, experimental design, preprocessing, general linear models, effect sizes and power, brain connectivity, multivariate statistical models, graph theory and network analysis, causal models and directed connectivity, predictive models and biomarkers, and machine learning and deep learning applications of artificial intelligence.Gives readers the conceptual tools to evaluate neuroimaging findingsDetails standard statistical methods, advanced analytic techniques, and cutting-edge methods using machine learning and AICovers fundamental topics in physics, data acquisition, and experimental designHas applications in psychology, neuroscience, economics, medicine, statistics, engineering, law, political science, journalism, and marketing Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: Brand New. 9.00x7.00 inches. In Stock.

Condizione: New.

Condizione: NEW.

Paperback. Condizione: New.

paperback. Condizione: New.

Condizione: New.

Condizione: New. 2026. paperback. . . . . .

Condizione: new.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. A comprehensive, accessible treatment of fMRI neuroimaging, covering conceptual foundations, technical details, and contemporary applications.The growing prevalence of neuroimaging, particularly fMRI, poses a challenge. As an inherently technical enterprise, it requires a synthesis of biological, computational, statistical, and psychological expertise that spans many fields. Providing a much-needed comprehensive treatment of the subject designed for practitioners working with neuroimaging data as well as non-specialists, this textbook introduces the fundamentals of how fMRI works and the principles that underlie it. Tor Wager and Martin Lindquist begin with a broad conceptual overview of what neuroimaging can and cannot say about the mind and behavior before moving to in-depth coverage of technical and mathematical detail. Topics include MRI physics and data acquisition, physiology, experimental design, preprocessing, general linear models, effect sizes and power, brain connectivity, multivariate statistical models, graph theory and network analysis, causal models and directed connectivity, predictive models and biomarkers, and machine learning and deep learning applications of artificial intelligence.Gives readers the conceptual tools to evaluate neuroimaging findingsDetails standard statistical methods, advanced analytic techniques, and cutting-edge methods using machine learning and AICovers fundamental topics in physics, data acquisition, and experimental designHas applications in psychology, neuroscience, economics, medicine, statistics, engineering, law, political science, journalism, and marketing Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condizione: New.

Condizione: New. Tor D. Wager is the Diana L. Taylor Distinguished Professor in Neuroscience at Dartmouth College and Director of Dartmouth&rsquos Cognitive and Affective Neuroscience laboratory, the Dartmouth Brain Imaging Center, and the Dartmouth Center for Cogni.

Paperback. Condizione: New.

Taschenbuch. Condizione: Neu. Neuware - A comprehensive, accessible treatment of fMRI neuroimaging, covering conceptual foundations, technical details, and contemporary applications.The growing prevalence of neuroimaging, particularly fMRI, poses a challenge. As an inherently technical enterprise, it requires a synthesis of biological, computational, statistical, and psychological expertise that spans many fields. Providing a much-needed comprehensive treatment of the subject designed for practitioners working with neuroimaging data as well as non-specialists, this textbook introduces the fundamentals of how fMRI works and the principles that underlie it. Tor Wager and Martin Lindquist begin with a broad conceptual overview of what neuroimaging can and cannot say about the mind and behavior before moving to in-depth coverage of technical and mathematical detail. Topics include MRI physics and data acquisition, physiology, experimental design, preprocessing, general linear models, effect sizes and power, brain connectivity, multivariate statistical models, graph theory and network analysis, causal models and directed connectivity, predictive models and biomarkers, and machine learning and deep learning applications of artificial intelligence.- Gives readers the conceptual tools to evaluate neuroimaging findings- Details standard statistical methods, advanced analytic techniques, and cutting-edge methods using machine learning and AI- Covers fundamental topics in physics, data acquisition, and experimental design- Has applications in psychology, neuroscience, economics, medicine, statistics, engineering, law, political science, journalism, and marketing.

Paperback. Condizione: new. Paperback. A comprehensive, accessible treatment of fMRI neuroimaging, covering conceptual foundations, technical details, and contemporary applications.The growing prevalence of neuroimaging, particularly fMRI, poses a challenge. As an inherently technical enterprise, it requires a synthesis of biological, computational, statistical, and psychological expertise that spans many fields. Providing a much-needed comprehensive treatment of the subject designed for practitioners working with neuroimaging data as well as non-specialists, this textbook introduces the fundamentals of how fMRI works and the principles that underlie it. Tor Wager and Martin Lindquist begin with a broad conceptual overview of what neuroimaging can and cannot say about the mind and behavior before moving to in-depth coverage of technical and mathematical detail. Topics include MRI physics and data acquisition, physiology, experimental design, preprocessing, general linear models, effect sizes and power, brain connectivity, multivariate statistical models, graph theory and network analysis, causal models and directed connectivity, predictive models and biomarkers, and machine learning and deep learning applications of artificial intelligence.Gives readers the conceptual tools to evaluate neuroimaging findingsDetails standard statistical methods, advanced analytic techniques, and cutting-edge methods using machine learning and AICovers fundamental topics in physics, data acquisition, and experimental designHas applications in psychology, neuroscience, economics, medicine, statistics, engineering, law, political science, journalism, and marketing Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.