51 - 60 of 162 results for: PSYCH

An ensemble course with research components for making data-driven music. Improvised and composed pieces make use of large, time-based data sets chronicling humans' digital-life and real-life experiences, and explore how temporal data can be transformed into live musical performances. Data sets will include the Human Screenome Project and the music will go where it goes following the group's ears and instincts. A series of workshops with guest musicians will continue throughout the year and group members will be able to take part beyond the course.

Survey of research on how we make assessments and decisions particularly in situations involving uncertainty. Emphasis will be on instances where behavior deviates from optimality. Overview of recent works examining the neural basis of judgment and decision-making.

Collective and individual traumas are often described as "beyond words", the point in which language loses its ability to depict reality. While facing the unspeakable, psychotherapy and the arts often take a similar stand, trying to transform chaos into a narrative, in search of a meaning. In this course, we will use an interdisciplinary approach to better understand trauma and recovery. We will draw from evidence- based theories dealing with collective trauma and the construction of traumatic narratives. We will then explore the ways in which literature and visual arts struggle to represent collective and individual trauma. While focusing on prominent art works, we will outline the artistic and psychological mechanisms used by artists to enable processing and recovering.

The course is designed to provide students with an opportunity to learn about, build, and apply skills and relationships for equity centered community research partnerships, with a focus on historically marginalized and oppressed communities. Students will learn about identified sites and conduct a needs assessment with a school or organization specific to promoting psychological health, social emotional learning, healthy identity development, and/or education equity. Cardinal Course certified by the Haas Center.

The primate visual system is a fertile ground for understanding the neuroscience underlying intelligent behavior. Indeed, much recent progress in machine learning rests upon fundamental concepts learned from the neurophysiology of vision and computational models developed from visual neuroscience. This course uses a combination of lectures, primary literature reading and computer tutorials to develop key concepts underlying computational approaches to intelligent behavior in visual neuroscience. Topics include optimal observer models, heuristics, Fourier analysis, LN models, normalization, signal detection, drift diffusion, efficient coding, Bayesian inference, visual search, metamers, texture models, population coding and recurrent dynamics. Students are expected to have familiarity with Python and linear algebra. Advanced undergraduates may enroll in this course with instructor consent (see pre-requisites in syllabus).

Can we know what someone is thinking by examining their brain activity? Using knowledge of the human visual system and techniques from machine learning, recent work has shown impressive ability to decode what people are looking at from their brain activity as measured with functional imaging. The course will use a combination of lectures, primary literature readings, discussion and hands-on tutorials to understand this emerging technology from basic knowledge of the perceptual (primarily visual) and other cognitive systems (such as working memory) to tools and techniques used to decode brain activity.Prerequisites: Either Psych 30 or Psych 50 or Consent of Instructor

(Graduate students register for 268.) The scientific study of emotion regulation. Topics: historical antecedents, conceptual foundations, autonomic and neural bases, individual differences, developmental and cultural aspects, implications for psychological and physical health. Focus is on experimentally tractable ideas.

Memory and human cognition. Memory is not a unitary faculty but consists of multiple systems that support learning and remembering, each with its own processing characteristics and neurobiological substrates. This advanced undergraduate seminar will consider recent discoveries about the cognitive and neural architectures of working, declarative, and nondeclarative memory. Required: 45.

Focus is on how politicians and government learn what Americans want and how the public's preferences shape government action; how surveys measure beliefs, preferences, and experiences; how poll results are criticized and interpreted; how conflict between polls is viewed by the public; how accurate surveys are and when they are accurate; how to conduct survey research to produce accurate measurements; designing questionnaires that people can understand and use comfortably; how question wording can manipulate poll results; corruption in survey research.