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PSYCH 201: Social Psychology Lecture Series
3.00 Credits
Stanford University
Required of social psychology graduate students. Guest lecturers from Stanford and other institutions. May be repeated for credit. 3 units, not given this year
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PSYCH 201 - Social Psychology Lecture Series
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PSYCH 202: Cognitive Neuroscience
3.00 Credits
Stanford University
Graduate core course. The anatomy and physiology of the brain. Methods: electrical stimulation of the brain, neuroimaging, neuropsychology, psychophysics, single-cell neurophysiology, theory and computation. Neuronal pathways and mechanisms of attention, consciousness, emotion, language, memory, motor control, and vision. Prerequisite: 207 or consent of instructor. 3 units, Spr (McClure, S)
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PSYCH 202 - Cognitive Neuroscience
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PSYCH 204A: Computational Neuroimaging
1.00 - 3.00 Credits
Stanford University
Advanced seminar. For students working with functional magnetic resonance imaging (fMRI). The physiological basis of the signal measured using fMRI. Possibilities for experiment design and interpretation of the signal with respect to other physiological and behavioral measurements. Emphasis is on experimental design, software tools, and pulse sequences for fMRI experiments. 1-3 units, Spr (Wandell, B)
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PSYCH 204A - Computational Neuroimaging
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PSYCH 204B: Computational Neuroimaging:Analysis Methods
3.00 Credits
Stanford University
Neuroimaging methods with focus on data analysis techniques. Basic MR physics and BOLD signals. Methods for neuroimaging data using real and simulated data sets. Topics include: linearity of the fmri signal; time versus space resolution tradeoffs; noise in neuroimaging; correlation analysis; visualization methods; cortical reconstruction, inflation, and flattening; reverse engineering; can cognitive states be predicted from brain activation Prerequisite: consent of instructor. 1-3 units, alternate years, not given this year
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PSYCH 204B - Computational Neuroimaging:Analysis Methods
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PSYCH 205: Foundations of Cognition
3.00 Credits
Stanford University
Topics: attention, memory, language, similarity and analogy, categories and concepts, learning, reasoning, and decision making. Emphasis is on processes that underlie the capacity to think and how these are implemented in the brain and modeled computationally. The nature of mental representations, language and thought, modular versus general purpose design, learning versus nativism. Prerequisite: 207 or consent of instructor. 1-3 units, Win (Ramscar, M)
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PSYCH 205 - Foundations of Cognition
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PSYCH 206: Cortical Plasticity:Perception and Memory
3.00 - 30.00 Credits
Stanford University
Seminar. Topics related to cortical plasticity in perceptual and memory systems including neural bases of implicit memory, recognition memory, visual priming, and perceptual learning. Emphasis is on recent research with an interdisciplinary scope, including theory, behavioral findings, neural mechanisms, and computational models. May be repeated for credit. Recommended: 30, 45. 1-3 units, Win (Grill-Spector, K; Wagner, A)
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PSYCH 206 - Cortical Plasticity:Perception and Memory
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PSYCH 207: Professional Seminar for First-Year Ph.D.Graduate Students
2.00 - 3.00 Credits
Stanford University
Required of and limited to first-year Ph.D. students in Psychology. Major issues in contemporary psychology with historical backgrounds. 2-3 units, Aut (Wandell, B)
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PSYCH 207 - Professional Seminar for First-Year Ph.D.Graduate Students
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PSYCH 208: Advanced Topics in Self-Defense
3.00 - 15.10 Credits
Stanford University
Seminar. Threat to the self and how people deal with them. Readings from social psychological areas including social comparison, selfaffirmation, self-completion, self-discrepancy, shame and guilt, terror management, dimensions of self-worth, self-regulation, selfpresentation, psychophysiology, and moral identity. Enrollment limited to 15. 1-3 units, not given this year
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PSYCH 208 - Advanced Topics in Self-Defense
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PSYCH 209: The Neural Basis of Cognition:A Parallel Distributed Processing Approach
3.00 Credits
Stanford University
The neural basis of perception and attention; memory, learning, and semantic knowledge; language and reading; and action selection, planning, and problem solving. Findings from human behavioral experiments, neurophysiology, functional brain imaging, and the effects of brain disorders on performance; computational models that address these findings from the parallel distributed processing point of view which holds that brain representations are patterns of activity over widely dispersed populations of neurons, that mental processing involves coherent distributed engagement of neurons in these populations, and that learning occurs primarily through the adjustment of the strengths of the connections between the neurons. Corequisite: 209B. 3 units, not given this year
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PSYCH 209 - The Neural Basis of Cognition:A Parallel Distributed Processing Approach
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PSYCH 209A: The Neural Basis of Cognition:A Parallel Distributed Processing Approach
3.00 Credits
Stanford University
Models and data to support the notion that brain representations are patterns of activity over widely dispersed populations of neurons, that mental processing involves coherent distributed engagement of neurons in these populations, and that learning and development occur primarily through the adjustment of the strengths of the connections between the neurons. How models may be used to explain aspects of human cognition, development, and effects of brain damage on cognition. Prerequisites: linear algebra, differential equations, a programming course, and two courses in psychology or neuroscience. 1-4 units, Win (McClelland, J)
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PSYCH 209A - The Neural Basis of Cognition:A Parallel Distributed Processing Approach
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