My early research examined neural mechanisms of sensory-based recollections. I have also become interested in understanding how memory operates under varying demands on attention, and how we arrive at decisions that are based on our memories and perceptions. The lab has been studying perceptual decision making in order to identify neural signals related to different stages of the decision process. We have recently been building from our early research in this area to study how memory, attention, and decision-making abilities change in healthy aging.
I received my degree from Washington University in St. Louis. After moving around a bit (Binghamton University and Stanford University)I arrived at Georgia Tech in 2001. I'm a member of the Cognition and Brain Science, Cognitive Aging, and Quantitative Psychology areas of the department.
Dr. Christopher Stanzione is an Educational Psychologist who is interested in the scientific study of human learning. He focuses on how students best acquire new skills and knowledge as they learn, and helps develop and refine instructional methods and materials to enhance the classroom learning experience. Moreover, Dr. Stanzione is interested in studying language and cognitive development in both at-risk and deaf and hard-of-hearing children.
The main focus of Dr. Weiss’ research is on understanding the experience of working, especially in an immediate, first person sense. This includes interest in emotional states, focus of attention, episodic structures of personal experience, and sense of self and agency at work.
More information can be found on the website of the Work Experience Lab.
My overarching goal is to ensure that technology is developed with the end user in mind. All aspects of design, implementation, adoption, and use of a system or device can be enhanced by considering the perceptual, cognitive, and social needs and abilities of those who will use it. Research in my Sonification Lab focuses on three main areas:
Historically, most of the work in my lab has centered around cognitive aging: What happens to people's minds as they grow older? Much of my meta-analytic work on boils down to the question of the dimensionality of cognitive aging: Does it all go together when it goes? Our current experimental work on aging focuses on cognitive control.
The fundamental premise of my work is that computational models from cognitive psychology and cognitive science can be adapted to provide testable process models of decision-making phenomena and optimized to support the decision-making of professionals. I direct the Decision Processes Laboratory (DPL). The DPL utilizes a range of experimental methodologies (behavioral, eye-tracking, EEG) and computational techniques (statistical, mathematical, neural networks) to investigate decision-making phenomena.
My area of expertise is in the cognitive neuroscience of aging. My specialties include the application of functional and structural neuroimaging methods to understand cognitive and brain aging as well as behavioral endocrinology. I have devoted much of my career to the study of the effects of steroid hormones on behavior and brain function. Among my contributions to this field are studies assessing the effect of gonadal steroids on spatial cognition, hemispheric asymmetry and interhemispheric communication.
My research examines the role of motivation and self-regulation in work and achievement settings. Past projects include work on how goals affect resource allocation during learning and performance and the role of self-regulation in job search and reemployment following job loss.
I am broadly interested in high-level aspects of perceptual decision-making. My research attempts to elucidate the brain mechanisms that influence what we perceive, as well as build computational models that explain current findings and lead to novel testable predictions. Specific topics include: the role of the prefrontal cortex in modulating the perceptual process, the computational principles behind attention and expectation, the mechanisms that allow us metacognitive insight into the accuracy of our perceptual decisions, and Bayesian models of perception as inference.