Cambridge Handbook of Intelligence and Cognitive Neuroscience
-10%
portes grátis
Cambridge Handbook of Intelligence and Cognitive Neuroscience
Haier, Richard J.; Karama, Sherif; Barbey, Aron K.
Cambridge University Press
11/2021
600
Mole
Inglês
9781108727723
15 a 20 dias
Descrição não disponível.
Part I. Fundamental Issues: 1. Defining and Measuring Intelligence - The Psychometrics and Neuroscience of G Thomas R. Coyle; 2. Network Neuroscience Methods for Studying Intelligence Kirsten Hilger and Olaf Sporns; 3. Imaging the Intelligence of Humans Kenia Martinez and Roberto Colom; 4. Research Consortia and Large-Scale Data Repositories for Studying Intelligence Budhachandra Khundrakpam, J B Poline, and Alan Evans; Part II. Theories, Models, and Hypotheses: 5. Evaluating the Weight of the Evidence - Cognitive Neuroscience Theories of Intelligence Matthew J. Euler and Ty L. McKinney; 6. Human Intelligence and Network Neuroscience Aron K. Barbey; 7. It's About Time - Toward a Longitudinal Cognitive Neuroscience of Intelligence Rogier A. Kievit and Ivan L. Simpson-Kent; 8. A Lifespan Perspective on the Cognitive Neuroscience of Intelligence Joseph P. Hennessee and Denise C. Park; 9. Predictive Intelligence for Learning and Optimization - Multidisciplinary Perspectives from Social, Cognitive and Affective Neuroscience Christine Ahrends, Peter Vuust, and Morten L. Kringelbach; Part III. Neuroimaging Methods and Findings: 10. Structural and Diffusion-Weighted Imaging of Intelligence Erhan Genc and Christoph Fraenz; 11. Structural Neuroimaging of Intelligence Differences Stefan Drakulich and Sherif Karama; 12. Functional Brain Imaging of Intelligence Ulrike Basten and Christian J. Fiebach; 13. An Integrated, Dynamic Functional Connectome Underlies Intelligence Jessica R. Cohen and Mark D'Esposito; 14. Biochemical Correlates of Intelligence Rex E. Jung and Marwa O. Chohan; 15. Good Sense and Good Chemistry: Neurochemical Correlates of Cognitive Performance Assessed in Vivo through Magnetic Resonance Spectroscopy Naftali Raz, Jeffrey A. Stanley; Part IV. Predictive Modeling Approaches: 16. Predicting Individual Differences in Cognitive Ability from Brain Imaging and Genetics Kevin M Anderson and Avram J Holmes; 17. Predicting Cognitive-Ability Differences from Genetic and Brain-Imaging Data Emily A. Willoughby and James J. Lee; Part V. Translating Research on the Neuroscience of Intelligence into Action: 18. Enhancing Cognition Michael I. Posner and Mary K. Rothbart; 19. Patient-Based Approaches to Understanding Intelligence and Problem-Solving Shira Cohen-Zimerman, Carola Salvi, and Jordan Grafman; 20. Implications of Biological Research on Intelligence for Education and Public Policy Kathryn Asbury and Diana Fields; 21. Vertical and Horizontal Levels of Analysis in the Study of Human Intelligence Robert J. Sternberg; 22. How Intelligence Research Can Inform Education and Public Policy Jonathan Wai and Drew H. Bailey.
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Part I. Fundamental Issues: 1. Defining and Measuring Intelligence - The Psychometrics and Neuroscience of G Thomas R. Coyle; 2. Network Neuroscience Methods for Studying Intelligence Kirsten Hilger and Olaf Sporns; 3. Imaging the Intelligence of Humans Kenia Martinez and Roberto Colom; 4. Research Consortia and Large-Scale Data Repositories for Studying Intelligence Budhachandra Khundrakpam, J B Poline, and Alan Evans; Part II. Theories, Models, and Hypotheses: 5. Evaluating the Weight of the Evidence - Cognitive Neuroscience Theories of Intelligence Matthew J. Euler and Ty L. McKinney; 6. Human Intelligence and Network Neuroscience Aron K. Barbey; 7. It's About Time - Toward a Longitudinal Cognitive Neuroscience of Intelligence Rogier A. Kievit and Ivan L. Simpson-Kent; 8. A Lifespan Perspective on the Cognitive Neuroscience of Intelligence Joseph P. Hennessee and Denise C. Park; 9. Predictive Intelligence for Learning and Optimization - Multidisciplinary Perspectives from Social, Cognitive and Affective Neuroscience Christine Ahrends, Peter Vuust, and Morten L. Kringelbach; Part III. Neuroimaging Methods and Findings: 10. Structural and Diffusion-Weighted Imaging of Intelligence Erhan Genc and Christoph Fraenz; 11. Structural Neuroimaging of Intelligence Differences Stefan Drakulich and Sherif Karama; 12. Functional Brain Imaging of Intelligence Ulrike Basten and Christian J. Fiebach; 13. An Integrated, Dynamic Functional Connectome Underlies Intelligence Jessica R. Cohen and Mark D'Esposito; 14. Biochemical Correlates of Intelligence Rex E. Jung and Marwa O. Chohan; 15. Good Sense and Good Chemistry: Neurochemical Correlates of Cognitive Performance Assessed in Vivo through Magnetic Resonance Spectroscopy Naftali Raz, Jeffrey A. Stanley; Part IV. Predictive Modeling Approaches: 16. Predicting Individual Differences in Cognitive Ability from Brain Imaging and Genetics Kevin M Anderson and Avram J Holmes; 17. Predicting Cognitive-Ability Differences from Genetic and Brain-Imaging Data Emily A. Willoughby and James J. Lee; Part V. Translating Research on the Neuroscience of Intelligence into Action: 18. Enhancing Cognition Michael I. Posner and Mary K. Rothbart; 19. Patient-Based Approaches to Understanding Intelligence and Problem-Solving Shira Cohen-Zimerman, Carola Salvi, and Jordan Grafman; 20. Implications of Biological Research on Intelligence for Education and Public Policy Kathryn Asbury and Diana Fields; 21. Vertical and Horizontal Levels of Analysis in the Study of Human Intelligence Robert J. Sternberg; 22. How Intelligence Research Can Inform Education and Public Policy Jonathan Wai and Drew H. Bailey.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
