Emily S. Finn is assistant professor of psychological and brain sciences at Dartmouth College, where she directs the Functional Imaging and Naturalistic Neuroscience (FINN) Lab. Finn has pioneered techniques such as functional connectome fingerprinting and connectome-based predictive modeling for predicting individual behaviors from functional brain connectivity. Her current work is focused on how within- and between-individual variability in brain activity relates to appraisal of ambiguous information under naturalistic conditions such as watching movies or listening to stories.
Emily S. Finn
Assistant professor of psychological and brain sciences
Dartmouth College
From this contributor
To improve big data, we need small-scale human imaging studies
By insisting that every brain-behavior association study include hundreds or even thousands of participants, we risk stifling innovation. Smaller studies are essential to test new scanning paradigms.
To improve big data, we need small-scale human imaging studies
By
Emily S. Finn
15 April 2024 | 7 min read
Explore more from The Transmitter
Autism program chief among National Institutes of Health layoffs
The termination is one of more than 1,000 employee cuts at the U.S. agency this week.
Autism program chief among National Institutes of Health layoffs
The termination is one of more than 1,000 employee cuts at the U.S. agency this week.
By
Rachel Zamzow
21 February 2025 | 3 min read
This paper changed my Life: Bill Newsome reflects on a quadrilogy of classic visual perception studies
The 1970s papers from Goldberg and Wurtz made ambitious mechanistic studies of higher brain functions seem feasible.
This paper changed my Life: Bill Newsome reflects on a quadrilogy of classic visual perception studies
The 1970s papers from Goldberg and Wurtz made ambitious mechanistic studies of higher brain functions seem feasible.
By
Bill Newsome
21 February 2025 | 6 min read
Science must step away from nationally managed infrastructure
Scientific data and independence are at risk. We need to work with community-driven services and university libraries to create new multi-country organizations that are resilient to political interference.
Science must step away from nationally managed infrastructure
Scientific data and independence are at risk. We need to work with community-driven services and university libraries to create new multi-country organizations that are resilient to political interference.
By
Dan Goodman
20 February 2025 | 7 min read