Jeremy R. Manning
Associate Professor of Psychological and Brain Sciences
I am a computational cognitive neuroscientist trained in computer science and neuroscience. My lab studies learning, memory, and brain network dynamics, with a special interest in developing personalized learning and teaching tools.
Contact
Department(s)
Psychological and Brain Sciences
Education
- Postdoctoral Fellowship, Princeton University, 2015
- Ph.D., University of Pennsylvania, 2011
- B.S., Brandeis University, 2006
Selected Publications
Owen LLW, Manning JR (2024). High-level cognition is supported by information-rich but compressible brain activity patterns. Proceedings of the National Academy of Sciences, USA: in press.
Xu X, Zhu Z, Zheng X, Manning JR (2024) The psychological arrow of time drives temporal asymmetries in inferring unobserved past and future events. Nature Communications: in press.
Fitzpatrick PC, Heusser AC, Manning JR (2024). Text embedding models yield high-resolution insights into conceptual knowledge from short multiple-choice quizzes. PsyArXiv: 10.31234/osf.io/dh3q2.
Manning (2023) Identifying stimulus-driven activity patterns in multi-patient intracranial recordings. In Axmacher N, Ed. Intracranial EEG for Cognitive Neuroscience. New York, NY: Springer. Chapter 48.