Results for PSYCH

An introduction to the science of how people think, feel, and behave. We will explore such topics as intelligence, perception, memory, happiness, personality, culture, social influence, development, emotion, and mental illness. Students will learn about classic and cutting edge research, a range of methods, and discover how psychology informs our understanding of what it means to be human, addresses other fields, and offers solutions to important social problems. Psych 1 fulfills the SI Way, and, effective Autumn 2018, the SMA Way. For more information on PSYCH 1, visit http://psychone.stanford.edu. Please note that section assignments will be done through Canvas in the first week of class.

Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of hypotheses, t-tests, correlation, and regression. Possible topics: analysis of variance and chi-square tests, computer statistical packages.

Kindness - the ability to understand each other, the instinct to care for each other, and the desire to help each other - is among our most powerful natural resources. It supports cooperation, fosters relationships, improves health, and overwrites hatred. Kindness is also challenging, especially in the modern world. More than ever, individuals are isolated, anonymous, and independent: qualities that make it harder to truly see each other and easier to succumb to indifference and even cruelty. As technology mediates more of our interactions and tribal signifiers occupy more of our identity, kindness erodes. And yet we have options. A growing number of social scientists are now experimenting in re-building kindness, using everything from virtual reality to meditation to literature to old-fashioned friendship. Their efforts demonstrate that through directed effort, people can become kinder. This class will explore the nature of kindness, the challenges modernity has placed in front of it, and the many ways scientists and practitioners are stimulating kindness. Though drawing mainly from psychology, we will tour sociology, conflict resolution, technology, the humanities, and neuroscience as well. The class will also grapple with central questions about human nature -most importantly, to what extent can we change ourselves into the people we¿d like to become? Finally, we will meld science with personal narrative and exercises meant to not only explore kindness-building as a research concept, but as a part of our own lives.

How does a child, born without beliefs or expectations about race, grow up to be racist? To address this complicated question, this seminar will introduce you to some of the psychological theories on the development of racial stereotyping, prejudice, and discrimination. Together, these theories highlight how cognitive, social, and motivational factors contribute to racist thinking. We will engage thoughtfully and critically with each topic through reflection and discussion. Occasionally, I will supplement the discussion and class activities with a brief lecture, in order to highlight the central issues, concepts, and relevant findings. We will share our own experiences, perspectives, and insights, and together, we will explore how racist thinking takes root. Come to class with an open mind, a willingness to be vulnerable, and a desire to learn from and with your peers. Students with diverse opinions and perspectives are encouraged to enroll.

(Formerly SYMSYS 100). An overview of the interdisciplinary study of cognition, information, communication, and language, with an emphasis on foundational issues: What are minds? What is computation? What are rationality and intelligence? Can we predict human behavior? Can computers be truly intelligent? How do people and technology interact, and how might they do so in the future? Lectures focus on how the methods of philosophy, mathematics, empirical research, and computational modeling are used to study minds and machines. Students must take this course before being approved to declare Symbolic Systems as a major. All students interested in studying Symbolic Systems are urged to take this course early in their student careers. The course material and presentation will be at an introductory level, without prerequisites. If you have any questions about the course, please email symsys1staff@gmail.com.

How does our brain give rise to our abilities to perceive, act and think? Survey of the basic facts, empirical evidence, theories and methods of study in cognitive neuroscience exploring how cognition is instantiated in neural activity. Representative topics include perceptual and motor processes, decision making, learning and memory, attention, reward processing, reinforcement learning, sensory inference and cognitive control.

TA training for Intro to Cognitive Neuroscience: preparing for sections, grading assignments, reviewing and answering questions in Canvas online forums and supporting office hours and review sections. Enrollment limited to teaching assistants for Psych 50: Intro to Cognitive Neuroscience. May be repeat for credit

How does the human mind develop in the first few years of life? What do babies know, how do they learn, and what methods do scientists use to address these questions? This course will introduce theories of development and key empirical findings in developmental psychology, with a focus on intellectual development in infancy and early childhood. Recommended: PSYCH 1

Guided observation of children age 2-5 at Bing Nursery School. Corequisite: 60.

How do we measure personality and emotion? What parts of your personality and emotions are set at birth? What parts of your personality and emotions are shaped by your sociocultural context? Can your personality and emotions make you sick? Can you change your personality and emotions? These are questions we begin to address in this introductory course on personality and emotion. Prerequisite: Psych 1.

Social ecological perspective on health emphasizing how individual health behavior is shaped by social forces. Topics include: biobehavioral factors in health; health behavior change; community health promotion; and psychological aspects of illness, patient care, and chronic disease management. Prerequisites: HUMBIO 3B or PSYCH 1 or consent of the instructor

Interdisciplinary. Challenges to and solutions for the young from increased human life expectancy: health care, financial markets, families, work, and politics. Guest lectures from engineers, economists, geneticists, and physiologists.

How does fiction make us better at reading minds? Why do some TV shows get us to believe two contradictory things at once? And can cognitive biases be a writer's best friend? We'll think about these and other questions in the light of contemporary neuroscience and experimental psychology, with the help of Song of Solomon (Toni Morrison), Madame Bovary (Gustave Flaubert), season 1 of Westworld (Lisa Joy / Jonathan Nolan), and short readings from writers like Louise Glück, Jorge Luis Borges, Virginia Woolf, and Marcel Proust. We'll also ask what we see when we read; whether the language we speak affects the way we think; and why different people react differently to the same book. Plus: is free will a fiction, or were you just forced to say that?

This course will provide an introduction to the methods used in psychological science. Topics discussed in the course will include: the nature of theories and experimentation in psychology, causal inference and experimentation, the role of measurement in psychological science, the design of experiments, sampling, strategies for data collection, study reporting, and data visualization. Prerequisite: Psych 10 or equivalent.

Classic and contemporary psychological interventions; the role of psychological factors in social reforms for social problems involving healthcare, the workplace, education, intergroup, relations, and the law. Topics include theories of intervention, the role of laboratory research, evaluation, and social policy.

Supervised experience with young children at Bing Nursery School. 3 units require 4 hours per week in Bing classrooms throughout the quarter; 4 units require 7 hours per week; 5 units require 10.5 hours per week. Seminar on developmental issues in the Bing teaching/learning environment. Recommended: 60 or 146, or consent of instructor.

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.

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.

Two quarter practicum exposes students to multiple phases of research by participating in a laboratory focusing on social behavior in adulthood and old age. Review of current research; participation in ongoing data collection, analysis, and interpretation. Prerequisites: 1, research experience, and consent of instructor. May be repeated for credit.

How do we address racial bias and inequities? What role do our institutions play in creating, maintaining, and magnifying those inequities? What role do we play? In this course, we will examine racial bias and inequality in our neighborhoods, schools, workplaces, healthcare facilities, and criminal justice system. In every domain, we will focus our attention on the tools and interventions that can be used to mitigate bias and decrease racial disparities. This course will be conducted as a seminar and meets the WIM requirement. Enrollment is restricted; interested students should complete an application for permission at: https://stanforduniversity.qualtrics.com/jfe/form/SV_aaBEFK34KHMjVbg. Instructor will be in contact if selected.

Pedagogical training focused on teaching introductory psychology: creating engaging and inclusive lesson plans and activities, providing helpful feedback to students, responding to student feedback, and supporting student learning in 1:1 and small group interactions. Students create and iterate section activities, conduct and reflect on peer feedback, and produce a statement of teaching philosophy in their second quarter. Limited to current undergraduate PSYCH 1 Teaching Fellows. May be repeated for credit.

Join SPARQ (Social Psychological Answers to Real-world Questions) as a research assistant and help with projects addressing real-world issues.

Student involvement in an interdisciplinary center aimed at changing the culture of human aging using science and technology. May be repeated for credit.

Independent study. May be repeated for credit. Prerequisite: consent of instructor.

Independent study. May be repeated for credit. Prerequisites: 1, 10, and consent of instructor.

The Honors Program in Psychology is designed for Psychology majors who wish to pursue a full year of intensive supervised independent research during their senior year. Students in the program will acquire a broad background in psychology as well as a deep background in their chosen area. In the fall quarter, we will focus on career development, acquiring valuable research skills, and on discussing our research projects. In the winter quarter, we will focus on reading and discussing research papers that are relevant for our projects. In the spring quarter, we will focus on how to present our research in writing, as well as in poster and oral presentations.

Satisfies INS requirements for curricular practical training (CPT). May be repeated for credit. Prerequisites: consent of adviser.

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.

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.

Prerequisite: 207 or consent of instructor.

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.

Social psychology from the context of society and culture. The interdependence of psychological and sociocultural processes: how sociocultural factors shape psychological processes, and how psychological systems shape sociocultural systems. Theoretical developments to understand social issues, problems, and polity. Works of Baldwin, Mead, Asch, Lewin, Burner, and contemporary theory and empirical work on the interdependence of psychology and social context as constituted by gender, ethnicity, race, religion, and region of the country and the world.

Current topics in memory as explored through computational models addressing experimental findings and physiological and behavioral investigations. Topics include: episodic and statistical learning; impact of prior knowledge on new learning; and the role of MTL structures in learning and memory. May be repeated for credit.

In this course we will discuss current issues in the study of major depression, including the epidemiology and phenomenology of depression and other affective disorders, psychological and biological theories of depression, gender differences in depression, cognitive and social functioning of depressed persons, findings from neuroimaging studies of depression, depression in children, risk factors for depression, issues involving suicide, and implications of the NIMH RDoC initiative for the study of depression and other psychiatric diagnostic categories.

Classic and contemporary psychological interventions; the role of psychological factors in social reforms for social problems involving healthcare, the workplace, education, intergroup, relations, and the law. Topics include theories of intervention, the role of laboratory research, evaluation, and social policy.

May be repeated for credit. Prerequisite: consent of instructors. Restricted to Developmental graduate students.

Participant presentations. May be repeated for credit. Prerequisite: graduate standing in psychology or neuroscience program.

We will read a selection of recent papers from psychology, computer science, and other fields. We will aim to understand: How human-like are state of the art artificial intelligence systems? Where can AI be better informed by recent advances in cognitive science? Which ideas from modern AI inspire new approaches to human intelligence? Specific topics will be announced prior to the beginning of term. "Registration is limited to graduate students except by instructor consent. Please write to mcfrank@stanford.edu with a one-paragraph justification if you are an undergraduate interested in registering"

The last ten years has seen a watershed in the development of large-scale neural networks in artificial intelligence. At the same time, computational neuroscientists have discovered a surprisingly robust mapping between the internal components of these networks and real neural structures in the human brain. In this class we will discuss a panoply of examples of such "convergent man-machine evolution", including: feedforward models of sensory systems (vision, audition, somatosensation); recurrent neural networks for dynamics and motor control; integrated models of attention, memory, and navigation; transformer models of language areas; self-supervised models of learning; and deep RL models of decision and planning. We will also delve into the methods and metrics for comparing such models to real-world neural data, and address how unsolved open problems in AI (that you can work on!) will drive forward novel neural models. Some meaningful background in modern neural networks is highly advised (e.g. CS229, CS230, CS231n, CS234, CS236, CS 330), but formal preparation in cognitive science or neuroscience is not needed (we will provide this).

This course offers an introduction to advanced topics in statistics with the focus of understanding data in the behavioral and social sciences. It is a practical course in which learning statistical concepts and building models in R go hand in hand. The course is organized into three parts: In the first part, we will learn how to visualize, wrangle, and simulate data in R. In the second part, we will cover topics in frequentist statistics (such as multiple regression, logistic regression, and mixed effects models) using the general linear model as an organizing framework. We will learn how to compare models using simulation methods such as bootstrapping and cross-validation. In the third part, we will focus on Bayesian data analysis as an alternative framework for answering statistical questions. Please view course website: https://psych252.github.io/. Open to graduate students only. Requirement: Psych 10/Stats 60 or equivalent

For students who are already or are planning to become involved in research on social construal and the role that it plays in a variety of phenomena, notably the origin and escalation of conflict.

Traditional psychological experiments have been performed at small scale: with relatively few participants, reporting on relatively restricted sets of conditions, designed to adjudicate a small number of situation-specific hypotheses. However a confluence of important developments -- from the replication crisis, to the advent of online experimental platforms, to the flowering of modern artificial intelligence -- has made it increasingly evident that psychological science can (and probably should) be done at a larger scale, and in a more systematic fashion, than ever before. In this seminar, we will discuss the meaning and purpose of scale, as it pertains not only to experiment size, but also ecological realness and validity of stimuli and conditions, and the richness of measurement instruments. We will survey recent works of "psychology at scale" from a wide variety of domains, including perception, memory, decision making, language, and social interaction. We will also discuss and develop design principles and best practices for modern psychological experiments ? principles that enable both learning from, and contributing back to, psychology-adjacent areas such as artificial intelligence, neuroscience, and statistical science.

May be repeated for credit. Prerequisite: graduate standing in Psychology.

Intermediate-level research undertaken with members of departmental faculty. Prerequisite: consent of instructor.nn (Staff)

Intermediate-level research undertaken with Prof. Wandell for EE students. Prerequisite: consent of instructor.

Enrollment limited to teaching assistants in selected Psychology courses. May be repeated for credit.

Pedagogical training focused on teaching introductory psychology: creating engaging and inclusive lesson plans and activities, providing helpful feedback to students, responding to student feedback, and supporting student learning in 1:1 and small group interactions. Second quarter focuses on designing and iterating section activities, giving and receiving peer feedback on teaching, and reflecting on teaching practices. Limited to current graduate PSYCH 1 Teaching Fellows. May be repeated for credit.

For students interested in research in political science, psychology, or communication. Methodological techniques for studying political attitudes and behaviors. May be repeated for credit.

This seminar will focus on advanced topics in the field of emotion regulation.Meetings will be discussion based.