معرفی
Anna Schapiro is an Associate Professor at the University of Pennsylvania's Department of Psychology within the School of Arts and Sciences. She holds a B.S. in Symbolic Systems from Stanford University and a Ph.D. in Psychology and Neuroscience from Princeton University. Her research focuses on understanding how structured knowledge is extracted from environmental regularities, integrating neural network modeling with empirical methods (fMRI, EEG, behavior). Key areas include memory consolidation, hippocampal-cortical interactions, and sleep's role in learning.
Education:
- B.S., Symbolic Systems, Stanford University
- Ph.D., Psychology and Neuroscience, Princeton University
Research Interests: Memory systems, neural network models of learning, sleep's impact on memory stabilization, and how hippocampal-cortical interactions shape knowledge representation. Recent work emphasizes category learning, temporal regularities, and the adaptive consolidation of weakly-learned information during rest and sleep.
Advising & Lab: Current advisees include Alexander Gordienko, Dhairyya Singh, Marlie Tandoc, and Zhenglong Zhou. The lab includes postdocs (e.g., Ashley Williams, Brynn Sherman) and research specialists (e.g., Paige Sevchik, Claudia Gonciulea), focusing on interdisciplinary approaches to cognitive and neural mechanisms of learning.
Publications Trends: Recent articles highlight hippocampal contributions to category learning, sleep-dependent memory consolidation, and the role of temporal regularities in shaping neural representations. Her work bridges computational models with experimental findings to advance theories of complementary learning systems in the brain.
