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
Explore more from The Transmitter
Nuclear location helps control gene activity during brain development
A study of developing human brain tissue suggests that genes switch on more strongly when they move from the nucleus’s edge toward structures that contain proteins involved in making and processing RNA.
Nuclear location helps control gene activity during brain development
A study of developing human brain tissue suggests that genes switch on more strongly when they move from the nucleus’s edge toward structures that contain proteins involved in making and processing RNA.
Five-year-old human brain organoids aged on schedule
The cultured spheres typically mimic only prenatal development, but the five-year-old ones grown in Paola Arlotta’s lab acquired postnatal features.
Five-year-old human brain organoids aged on schedule
The cultured spheres typically mimic only prenatal development, but the five-year-old ones grown in Paola Arlotta’s lab acquired postnatal features.
Marco Facchin explores the ever-shifting landscape of neuroscience theory and philosophy
Computational explanations of cognition, though powerful, aren't the only game in town.
Marco Facchin explores the ever-shifting landscape of neuroscience theory and philosophy
Computational explanations of cognition, though powerful, aren't the only game in town.