A crucial part of neuroscience is understanding how function has its foundation in anatomy. This course traces neuroanatomical pathways through the central nervous system. It emphasizes the primate brain, especially the human brain. The course covers how nuclei, ganglia, and layered structures such as cortex are arranged physically in the brain, the fiber pathways by which they connect to each other, and how this connectivity relates to their function. The material will encompass systems within the brain stem, sensory systems, motor systems, higher cognitive systems, and the interconnectivity and interaction of these systems.

An intensive introduction to fundamental topics in neuroscience, including neuronal excitability, synaptic physiology, neural networks, and circuits that mediate perception, action, emotion, and memory. We will examine neuroscience at scales ranging from single neurons, to the activity of small sets of neurons, to the organization of brain and behavior. The course will address broad questions including: How does information enter the brain? What neural pathways transmit these signals? How is information processed and used to construct an internal model of reality? How does the brain choose and execute the correct behavioral response?

Much of what we know about the brain systems underlying perception, attention, memory, and language has been first derived from patients with brain lesions or other brain pathology. Despite our advances in functional brain imaging the study of clinical cases in neuropsychology is still important to determine the causal role of certain brain regions in contributing to a given cognitive process.

Advanced seminar that reflects current research on brain and behavior.

The study of human nature from the viewpoint of psychological science. Topics range from the biological bases of human perception, thought and action to the social-psychological determinants of individual and group behavior. This course can be used to satisfy the science and technology with laboratory general education requirement.

Survey of different types of psychological disorders and different models of explanation. Students will come to understand the conflicting viewpoints and treatment approaches that characterize the clinical field, and will understand what is presently known and unknown about psychopathology.

Babies, who look like helpless blobs, are capable of impressive feats of learning. 3-year-olds, who can't cross the street alone, know an astounding amount of information about their environments. We will focus on landmark studies that elucidate how children's biology, cognition, language, and social experiences interact to set the stage for what we do and who we are. Is the baby's world a 'blooming, buzzing confusion', or do babies enter the world prepared to make sense of their environments? How can we understand the collaboration between nature and nurture during development?

The course will survey discoveries and progress made over the past 50 years of research, from classic experimental findings and fundamental theoretical principles to the cutting edge of research that lies increasingly at the interface of psychology with neuroscience (neural mechanisms underlying cognitive processes), computer science (artificial intelligence and machine learning), and mathematics (formal models of complex processes). Topics will include perception, attention, memory, decision making, reasoning, problem solving, language, and cognitive control.

This course covers foundations of the research process for experimental Psychology: reviewing and evaluating published journal articles, refining new research questions, conducting pilot studies, creating stimuli, sequencing experiments for optimal control and data quality, analyzing data, and communicating scientific methods and results clearly, effectively, and professionally in APA style. Lectures survey time-tested excellent methods, and labs provide opportunities to recreate interesting experiments and innovate, building toward an original research final project.

Principles of psychology relevant to the theory and practice of education. Through selected readings, discussion, and classroom observations, students study theories of development, learning, cognition (including literacy), and motivation, as well as individual and group differences in these areas; assessment; and the social psychology of the classroom. The course focuses on how learning by children and adolescents at the elementary, middle, and secondary school levels is influenced by their own characteristics and experiences and the various contexts in which they learn: family, school, community and culture.

The objective of this course is to provide advanced students in cognitive science, psychology, and computer science with the skills to develop computational models of human cognition. Computational modeling is one of the central methods in cognitive science research, and can help to provide insight into how people solve the challenging problems posed by everyday life, as well as how to bring computers closer to human performance for some of these problems. The course will explore three ways in which researchers have attempted to formalize cognition-symbolic approaches, neural networks, and probability and statistics.

This course examines how social, behavioral and cultural factors influence human behavior and the conceptualization of mental health and psychopathology, with a focus on current, controversial topics. Students will examine the ways their understanding of mental and physical health and well-being are shaped by their own values and assumptions, as well as societal constructs and structures such as the health care system. The class is designed to promote cultural competence in diagnosis, treatment and research strategies.

This seminar explores parallels between human cognition and ideas in probability and statistics, with an emphasis on statistical machine learning. Minds and machines face similar computational problems, meaning that we can develop new hypotheses about human cognition by seeing how those problems are solved in computer science and statistics and find new challenges for AI and machine learning by studying human cognition.

Cognitive Proseminar: Introduction to graduate level cognitive psychology and cognitive neuroscience for first year graduate students in psychology. Course serves as the basis for more advanced graduate courses on specific topics in this area.

This graduate-level course covers the statistical and computational foundations of psychological methods. It is required for all first-year Ph.D. students in Psychology. Specific topics include probability theory, design-based causal inference, regression analysis, and the basics of multilevel modeling. In this course, we use R, R Markdown, and Git/GitHub.

Psychological methods keep evolving: psychology researchers constantly adopt new statistical methods, computational tools, and research practices. This course covers the latest advances in research methods in psychological science through a series of lectures, tutorials, and seminars. Lectures are generally given by a guest speaker who introduces methodological and statistical issues relevant to psychology research. Tutorials provide students with the necessary computational skills to build reproducible and transparent research programs. Finally, students discuss timely topics in psychological methods in the context of seminars.

Current research and issues in cognition, perception, and learning. Seminar participants present ongoing research and discuss current topics of interest in the literature.

An advanced seminar that considers current research in social psychology. Contemporary research conducted by the seminar participants is discussed.

Examination of issues in the responsible conduct of scientific research, including the definition of scientific misconduct, mentoring, authorship, peer review, grant practices, use of humans and of animals as subjects, ownership of data, and conflict of interest.

An introduction to the main issues and research findings underlying decision-making and judgment under uncertainty. The focus is on the contrast between the normative theory of judgment and choice, and the psychological principles that guide decision behavior, often producing biases and errors. Among other topics, we will consider political, medical, and financial decision-making, poverty, negotiations, and the law, along with the implications of the findings for the rational agent model typically assumed in economics, throughout the social sciences, and in policy making.

A course required for and limited to students in the Joint Degree program in Social Policy. Two major areas of psychology make important contributions to the study of social policy and inequality. The first is social psychology, which focuses on inter-group relations, interpersonal perception, stereotyping, racism, aggression, justice and fairness. The second domain involves the fields of social-cognition, judgment and decision making, areas of research that study human information processing in a way that is not about individual differences, and often not social.