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1 - 10 of 95 results for: PSYCH

PSYCH 202: Cognitive Neuroscience

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: For psychology graduate students, or consent of instructor.
Terms: Spr | Units: 3

PSYCH 203F: Intergroup Communication Facilitation (CSRE 103F, PSYCH 103F)

Are you interested in strengthening your skills as a facilitator or section leader? Interested in opening up dialogue around identity within your community or among friends? This course will provide you with facilitation tools and practice, but an equal part of the heart of this class will come from your own reflection on the particular strengths and challenges you may bring to facilitation and how to craft a personal style that works best for you. This reflection process is ongoing, for the instructors as well as the students.
Terms: Aut | Units: 2

PSYCH 204A: Human Neuroimaging Methods

This course introduces the student to human neuroimaging using magnetic resonance scanners. The course is a mixture of lectures and hands-on software tutorials. The course begins by introducing basic MR principles. Then various MR measurement modalities are described, including several types of structural and functional imaging methods. Finally algorithms for analyzing and visualizing the various types of neuroimaging data are explained, including anatomical images, functional data, diffusion imaging (e.g., DTI) and magnetization transfer. Emphasis is on explaining software methods used for interpreting these types of data.
Terms: Win | Units: 3

PSYCH 204B: Computational Neuroimaging: Data Analyses and Experimental Designs

This course provides an in-depth survey and understanding of modern computational approaches to design and analyses of neuroimaging data. The course is a mixture of lectures and projects geared to give the student an understanding of the possibilities as well as limitations of different computational approaches. Topics include: signal and noise in MRI; general linear modeling; fMRI-adaptation; multivoxel pattern analyses; decoding and encoding algorithms; modeling population receptive fields. Required: Psych 204A; Recommended: Cognitive Neuroscience, Stats
Terms: Spr | Units: 1-3

PSYCH 205: Foundations of Cognition

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. Open to Psychology PhD students only.
Terms: Spr | Units: 3

PSYCH 206: Cortical Plasticity: Perception and Memory

Seminar. Topics related to cortical plasticity in perceptual and memory systems including neural bases of implicity 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
Last offered: Winter 2018

PSYCH 207: Professional Seminar for First-Year Ph.D. Graduate Students

Required of and limited to first-year Ph.D. students in Psychology. Major issues in contemporary psychology with historical backgrounds.
Terms: Aut | Units: 3

PSYCH 209: Neural Network Models of Cognition

Neural Network models of cognitive and developmental processes and the neural basis of these processes, including contemporary deep learning models. This is a small, hands-on, discussion intensive class in which students read, comment on, and discuss readings about fundamental mathematical and computational principles of neural networks and larn about classical and contemporary applications. Students also carry out exercises in the first four weeks, then undertake projects during the last six weeks of the quarter. Intended for students with computer programming ability, familiarity with differential equations, linear algebra and probability theory, and one or more courses in cognition, cognitive development or cognitive/systems neuroscience. Instructor consent required.
Terms: Win | Units: 4

PSYCH 211: Developmental Psychology

Prerequisite: 207 or consent of instructor.
Terms: Win | Units: 3

PSYCH 213: Affective Science

This seminar is the core graduate course on affective science. We consider definitional issues, such as differences between emotion and mood, as well as issues related to the function of affect, such as the role affect plays in daily life. We review autonomic, neural, genetic, and expressive aspects of affective responding. Later in the course we discuss the role of affect in cognitive processing, specifically how affective states direct attention and influence memory, as well as the role of affect in decision making. We will also discuss emotion regulation and the strategic control of emotion; the cultural shaping of emotional experience and regulation; disorders of emotion; and developmental trajectories of experience and control from early to very late life. Meetings are discussion based. Attendance and active participation are required. Prerequisite: 207 or consent of instructor.
Terms: Win | Units: 3
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