Date/Time
Date(s) - 10/11/2022
2:00 pm - 4:00 pm
Our colloquium speaker this week is Dr. Keisuke Fukuda from the University of Toronto Mississauga.
Abstract
Visual working memory (VWM) allowsus to maintain a small amount of task-relevant information in mind so that wecan use them to guide our behavior. Although past studies have successfullycharacterized its capacity limit and representational quality duringmaintenance, the consequence of its usage for task-relevant behaviors has beenlargely unknown. In this talk, I will demonstrate that VWM representations getdistorted when they are used for perceptual comparisons with new visual inputs,especially when the inputs are subjectively similar to the VWM representations.Furthermore, I will show that this similarity-induced memory bias (SIMB) occursfor both simple (e.g., color, shape) and complex stimuli (e.g., real-worldobjects, faces) that are perceptually encoded and retrieved from long-termmemory. Given the observed versatility of the SIMB, its implication for othermemory distortion phenomena (e.g., distractor-induced distortion,misinformation effect) will be discussed.
Short biography sent to us by Dr. Fukuda
I received my Bachelor ofScience at the University of Oregon (Major: Psychology, Minor: Mathematics) in2006. I also completed my Masters and Ph.D. at the University of Oregon underthe supervision of Dr. Edward Vogel and Dr. Edward Awh. Subsequently, I spentfour years as a postdoctoral scholar at Vanderbilt University working with Dr.Geoffrey Woodman and Dr. Jeffrey Schall. In 2016, I joined the Psychologydepartment of the University of Toronto Mississauga as an assistantprofessor. My research focuses on our ability to select goal-relatedinformation from a plethora of irrelevant information (selective attention),represent and manipulate the selected information (working memory), and storeand retrieve the information later in time (long-term memory). While we arequite good at processing information in a goal-oriented manner, we are notperfect at it. My research seeks to uncover why and how we are notperfect by combining experimental psychophysics with humanelectrophysiological recordings (e.g., scalp EEG, ERP), computational modeling,and individual differences approach. I am also interested in assisting andimproving human information processing by translating the findings andtechniques in cognitive psychology and neuroscience.
Psychology Building 155
Live stream: https://tinyurl.com/pnbcolloquia