A central challenge in neuroscience is understanding how information is represented and processed in the brain. In the UConn Statistical Neuroscience Lab we address this challenge by developing computational tools to describe and decipher neural activity. Our work focuses on 1) modeling neural dynamics, interactions, and adaptation and 2) linking neural data with perception, behavior, and learning.
For more information see our Publications.
Join the Lab!
We're currently looking for undergraduate and graduate students interested in data science, computational neuroscience, and/or statistical analysis of neural data. Contact Professor Stevenson for more information.
|PSYC 5104||Foundations of Research in the Psychological Sciences I|
|PSYC 5270||Statistical Analysis of Neural Data|
|PSYC 2100WQ||Principles of Research in Psychology|
|PSYC 5270||Measuring and Modeling Neural Activity|
University of Connecticut
Department of Psychological Sciences
CV // Google Scholar // NeuroTree
406 Babbidge Road, Unit 1020
Storrs, CT 06269-1020
Office: BOUS 112 // Lab: BOUS 383 // Map