PDF-Introductionwe know little about neural basis of problematic patterns

Corresponding authorGatcha Kim Department of Sociology School of Social Sciences Sungkyunkwan University Korea Tel 8227600025 Email The stimulus and timing of the GoNoGo task Volum. Greene and Joseph M Paxton Department of Psychology Harvard University 33 Kirkland Street Cambridge MA 02138 Edited by Marcus E Raichle Washington University School of Medicine St Louis MO and approved June 11 2009 received for review January 7 2009 Chase Simon B Eickhoff Angela R Laird and Lee Hogarth Background The capacity of drug cues to elicit drugseeking behavior is believed to play a fundamental role in drug dependence yet the neurofunctional basis of human drug cuereactivity is not full I E57472ects of 24 h of sleep deprivation on waking human regional brain activity MARIA THOMAS HELEN SING GREGORY BELENKY HENRY HOLCOMB HELEN MAYBERG ROBERT DANNALS HENRY WAGNER JR DAVID THORNE KATHRYN POPP LAURA ROWLAND AMY WELSH SHARON BAL What’s new here?. Comparison with genetics. Triage concerns about . neuroimaging. Two examples of problematic applications. fMRI. lie detection. SPECT imaging for psychiatric diagnosis. Concluding thoughts. Presented by: Vanessa Wong. Corbetta. et al.. Introduction to spatial neglect. Inability to pay attention to space. Most common cause is stroke. Caused by focal injury to . temporoparietal. cortex . & Chung-. Chieh. . Hung. Section H: OTHER . DISORDERS. PROBLEMATIC INTERNET . USE (PIU). Adapted by Jane Pei-Chen Chang . Chapter H.6 . Companion . PowerPoint . Presentation. The . “IACAPAP Textbook of Child and Adolescent Mental Health” is . Theories of Message Processing. Classic Models of Persuasion:. Cognitive Dissonance Theory. Developed by Festinger. Individuals have a need for . consistency. between attitudes and behaviors. When we behave in inconsistent ways, we feel discomfort. Banafsheh. . Rekabdar. Biological Neuron:. The Elementary Processing Unit of the Brain. Biological Neuron:. A Generic Structure. Dendrite. Soma. Synapse. Axon. Axon Terminal. Biological Neuron – Computational Intelligence Approach:. Peter Andras. School of Computing and Mathematics. Keele University. p.andras@keele.ac.uk. Overview. High-dimensional functions and low-dimensional manifolds. Manifold mapping. Function approximation over low-dimensional projections. To model a complex wavy function we need a lot of data.. Modeling a wavy function with high order polynomials is inherently ill-conditioned. . With a lot of data we normally predict function values using only nearby values. We may fit several local surrogates as in figure.. . Rekabdar. Biological Neuron:. The Elementary Processing Unit of the Brain. Biological Neuron:. A Generic Structure. Dendrite. Soma. Synapse. Axon. Axon Terminal. Biological Neuron – Computational Intelligence Approach:. and. Expert Systems. ARTIFICIAL INTELLIGENCE (AI). is the science of. R. L . . Being able . to. Ability to. solve a . problem. Comparing a DSS to Artificial Intelligence. Decision Support System (DSS). and Unsupervised Learning. Chapter 5, . Anastasio. Learning objectives. :. explain the difference between “sparse” and “distributed” neuronal encoding. explain the difference in purpose between Hopfield networks and two-layer neural networks. Chieh. . Hung. Section H: OTHER . DISORDERS. PROBLEMATIC INTERNET . USE (PIU). Adapted by Jane Pei-Chen Chang . Chapter H.6 . Companion . PowerPoint . Presentation. The . “IACAPAP Textbook of Child and Adolescent Mental Health” is .