PS
Unit: College of Arts and Sciences
Department: Department of Psychology
Office location and address
485 McCormick Rd
Charlottesville,
Virginia
22903
Biography
Dr. Sederberg will be joining the Psychology Department in the Fall of 2017. His research broadly investigates the successes and failures of human memory with the overarching goal of developing a comprehensive theory of memory formation and retrieval that links behavior to underlying neural mechanisms. His work combines a number of approaches to uncover the neural correlates and develop computational models of the complex dynamics of human memory processes, including multivariate analysis of neural data collected via fMRI and EEG, large-scale behavioral experiments, and computational modeling to guide and interpret his experimental findings.
Publications
Sponsored Awards
Midbrain circuits for perceptual decision-making
Source: U.S. NIH Institute of Neurological Disorders & Str
May 01, 2021 – April 30, 2024
Real-World Episodic Memory
Source: Oculus Vr, LLC
September 01, 2018 – July 18, 2021
Collaborative Research: NCS-FO: Learning Efficient Visual Representations From Realistic Environments Across Time Scales
Source: U.S. NSF - Directorate Computer & Info. Sciences
September 01, 2017 – August 31, 2020
SUPREME: Sensing to Understanding and Prediction Realized via an Experiment and Modeling Ecosystem
Source: OHIO STATE UNIVERSITY, THE
September 01, 2017 – March 29, 2019
Courses
Credits: 1–4
This course provides the opportunity to offer a new topic in the subject area of psychology.
Credits: 2–3
An original experimental project is undertaken in which each student is responsible for the design and operation of the experiment. S/U grading. May be repeated for credit. Prerequisite: 14 credits of psychology and instructor permission.
Credits: 3
This course aims to provide faculty-supervised research experience. A faculty mentor should be identified before enrollment. S/U grading. May be repeated for credit. Prerequisites: Faculty supervisor permission.
Credits: 3
Students in Neuroscience major are expected to participate in active research, supervised by a faculty research mentor. The course grade is based on 10 hours/week lab work toward achieving term goals that are determined individually at the beginning of the term. Students are expected to submit a Term Plan one month after the first day of classes and a Progress Report two weeks before the last day of classes.
Credits: 3
This class provides a hands-on introduction to applied data science in Psychology and Neuroscience with Python. Students will learn to design and code experiments, collect and process data, and analyze and visualize results, all with freely-available, cross-platform, open-source Python libraries. Advanced topics will include applications of optimization, machine learning, and statistics libraries.
Credits: 3
Topical Offerings in Psychology
A two-semester course in which the student prepares a thesis under the supervision of a departmental faculty member. The thesis may be based on empirical research conducted by the student or a critical review or theoretical analysis of existing findings.
Credits: 3
This class will provide the foundation necessary to start thinking mechanistically about how neural function gives rise to cognition. Although the focus will be on problems in psychology and neuroscience, the material will have potential for broad application and will cover topics including computational modeling, artificial intelligence, and machine learning.
Credits: 3
This course provides the opportunity to offer a new topic in the subject area of psychology.
Credits: 1
This course is designed for capstone project teams to meet in groups, with advisors, and with clients to advance work on their projects.
Credits: 1–2
This course is designed for capstone project teams to meet in groups, with advisors, and with clients to advance work on their projects.
Credits: 3
This class provides a hands-on introduction to applied data science in Psychology and Neuroscience with Python. Students will learn to design and code experiments, collect and process data, and analyze and visualize results, all with freely-available, cross-platform, open-source Python libraries. Advanced topics will include applications of optimization, machine learning, and statistics libraries.
Credits: 1–4
This course provides the opportunity to offer a new topic in the subject area of psychology.
Credits: 1–12
For master's research, taken before a thesis director has been selected.
Credits: 1–12
Independent laboratory research undertaken with advisor. Satisfactory/Unsatisfactory and can be repeated. Instructor permission required.
Credits: 1–12
Independent laboratory research undertaken with advisor. Graded and can be repeated. Instructor permission required.
Credits: 1–12
For doctoral research, taken before a dissertation director has been selected.
Credits: 1–12
For doctoral dissertation, taken under the supervision of a dissertation director.