Drexel Laboratory for Adaptive Cognition

Latest news


Dean's Seminar: How the Human Mind Thrives in an Uncertain World

On Wednesday, October 30th from 3:30–5:00pm Dr. Sims will present as part of the Dean's Seminar series in the College of Arts and Sciences. This talk will present a high-level overview of the fundamental questions and issues that drive the research in the Drexel Laboratory for Adaptive Cognition. All are welcome to attend! See here for details.

Drexel Laboratory for Adaptive Cognition founded

Dr. Chris R. Sims has joined the faculty in the Applied Cognitive and Brain Sciences program within the Department of Psychology at Drexel University. Dr. Sims comes to Drexel from the University of Rochester, where he completed a post-doctoral research fellowship in the Department of Brain and Cognitive Sciences.

Seeking new graduate students!

Dr. Sims is currently seeking Ph.D. students to begin in the Fall term of 2014. If you are a talented undergraduate with a passion for studying the human mind you are encouraged to contact Dr. Sims by email. Our research lab is especially interested in individuals with an interest or background in applying quantitative and computational methods to understand human cognition. See the research descriptions on this site for an idea of ongoing projects and possibilities.

Seeking part-time research assistant!

The Drexel Laboratory for Adaptive Cognition is looking for a part-time undergraduate research assistant to join the laboratory, beginning October 2013. If you are considering graduate work in cognitive science or psychology and would like to get first-hand research experience please contact Dr. Sims.

Drexel Laboratory for Adaptive Cognition


At the most basic level, our laboratory is interested in answering the following question: How is the brain able to efficiently accomplish complex goals in an uncertain world?

This fundamental question spans multiple areas of cognitive science: decision-making, learning from feedback, perception, and motor control. Even a seemingly simple task like reaching to pick up a glass of water involves solving tremendous challenges: the brain must compensate for time-delayed and uncertain sensory signals, and process this information extremely rapidly to control a noisy and error-prone motor system. Similarly, when we look at a photograph and try to remember some particular detail, we face a complex challenge as the capacity of visual memory is severely limited. Therefore the brain faces a decision regarding what visual information to attend to, what to ignore, and how best to store it in memory in order to achieve our goals. These examples illustrate that low-level perception, memory, and basic motor control all involve complex forms of decision-making under uncertainty. Our laboratory is interested in understanding these processes.

In everyday life, the incredible complexity of the problems solved by the brain is hidden from our awareness. Oftentimes, it is only when we try to replicate the breadth and robustness of human performance in a computational model is the extent of the mind's complexity apparent. Computational models of human cognition serve an important role in all of the research carried out in our laboratory. They serve as an explicit statement of a scientific theory, but they can also generate novel predictions that can be tested experimentally. In many cases, human performance exceeds that of any existing algorithm (for example, in categorizing images or recognizing faces). By studying human behavior and building computational models of cognition, we can also advance the state of the art in engineering and applied sciences.

Recent and ongoing research projects in the lab focus on:

If you are interested in becoming involved in our research, please feel free to contact us.