Welcome and thanks for stopping by!
I am a cognitive scientist. Some prominent foci of my research are:
Relational reasoning, analogy-making, and high-level cognition. I am particularly interested how such high-level tasks, which require role-filler binding, can be implemented in biologically realistic neural networks. In the words of my former advisor John Anderson (and Allen Newell before him),
How can the human mind occur in the physical universe?
My specific interest is in human -- that is, relational -- cognition.
Visual cognition, particularly the extraction and encoding of relations among two or more objects in a visual scene. Again, I am particularly interested in biologically plausible models of the underlying neural mechanisms.
Visual perceptual learning, spatial vision, and neural-network models thereof.
Cognitive architectures, specifically ACT-R, Leabra, and Nengo.
Methodologically, research in the CogMod/CCN Lab involves a combination of behavioral and psychophysical experimentation, mathematical and computational modeling, eyetracking and pupillometry. Typically, the papers that we publish involve both empirical data and computational models thereof. We also use and develop sophisticated models to analyze the behavioral data collected in the lab or in collaboration with other labs.
My professional web page contains a complete list of publications, PDF reprints, open-source software, syllabi for the courses that I teach, and many other resources.
To prospective students: Our lab is looking to accept up to 2 graduate students for the incoming class of 2017.The Prospective Students page on the lab website can help you determine whether our lab is a place for you and, if so, provides tips on how to apply. Students with background in mathematics, computer science, engineering, and/or philosophy are especially encouraged to apply. The deadline is Nov 30. The Research page on the lab website contains more detailed and up-to-date information on our current projects. Check it out!
* Petrov, A. (2013). Associative Memory-Based Reasoning: A Computational Model of Analogy-Making in a Decentralized Multi-Agent Cognitive Architecture. Saarbrücken, Germany: Lambert Academic Publishing. ISBN 978-3-659-26248-7.
Selected Journal Articles
Alex Petrov's Proffesional Home Page
Laboratory for Cognitive Modeling and Computational Cognitive Neuroscience
Memory and Cognition
Intro to Cognitive Science
Center for Cognitive and Brain Sciences