Jeremy R. Manning
Associate Professor
Appointments
Associate Professor of Psychological and Brain Sciences
Area of Expertise
cognitive neuroscience,
learning and memory,
computational neuroscience,
education technology,
natural language processing,
methods,
neuroimaging
Biography
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.
Education
Postdoctoral Fellowship, Princeton University, 2015
Ph.D., University of Pennsylvania, 2011
B.S., Brandeis University, 2006
Taught Courses
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.
Manning JR, Notaro GM, Chen E, Fitzpatrick PC (2022) Fitness tracking reveals task-specific associations between memory, mental health, and exercise. Scientific Reports: 12(13822): doi.org/10.1038/s41598-022-17781-0.
Owen LLW, Chang TH, Manning JR (2021) High-level cognition during story listening is reflected in high-order dynamic correlations in neural activity patterns. Nature Communications, 12(5728): doi.org/10.1038/s41467-021-25876-x.
Manning JR (2021) Episodic memory: mental time travel or a quantum 'memory wave' function? Psychological Review, 128(4): 711—725.
Chang LJ, Jolly E, Cheong JH, Rapuano K, Greenstein N, Chen P-HA, Manning JR (2021) Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience. Science Advances, 7(17): doi.org/10.1126/sciadv.abf7129.
Heusser AC, Fitzpatrick PC, Manning JR (2021) Geometric models reveal behavioral and neural signatures of transforming naturalistic experiences into episodic memories. Nature Human Behaviour: https://doi.org/10.1038/s41562-021-01051-6.
Owen LLW, Muntianu TA, Heusser AC, Daly P, Scangos KW, Manning JR (2020) A Gaussian process model of human electrocorticographic data. Cerebral Cortex, 30(10): 5333—5345.
Heusser AC, Ziman K, Owen LW, Manning JR (2018) HyperTools: A Python toolbox for gaining geometric insights into high-dimensional data. Journal of Machine Learning Research, 18(152): 1 - 6.