About

As we experience the world, our brains encode statistical regularities among events and their outcomes as probabilistic “beliefs.” We rely on these beliefs to organize new information, optimize behavior, and navigate an uncertain world. When signals weaken and uncertainty grows, we come to rely on our beliefs with greater and greater weight.

​Our lab seeks to understand how socioecological environments influence belief formation and how these beliefs are then integrated with sensory information to influence behavior, subjective experience, and overall health. We use machine learning, neuroimaging (especially fMRI), psychophysiology (SCR, heart rate, pupil dilation, etc), behavioral measures, naturalistic datasets, and large online studies to answer these questions.

Announcements

Jan 1, 2025

We ended this year with much to celebrate! Our lab just won an Einstein 2030 Seed Fund to build learning models of pain-related brain activity in relation to social and economic exclusion from resources like health care. This award is presented by Dean Tomer and funded by a generous anonymous donor. Thank you!

Dec 19, 2024

Our lab just won a pilot award to explore the role health care experiences play-- like insurance claim denials or provider disbelief-- in pain responses in people with chronic pain and opioid use disorder (OUD). 

This award is provided by the Integrated Care for Chronic Pain and Opioid Use Disorder (IMPOWR) Research Center at Montefiore/Einstein (IMPOWR-ME) (RM1 DA055437) which is supported by the NIH Helping to End Addiction Long-term (HEAL) Initiative.

---

​The Socioecological Cognitive Neuroscience Lab (NeuroSoc) is directed by Assistant Professor Marianne Reddan in the Department of Psychiatry & Behavioral Sciences and PRIME Center for Health Equity at Albert Einstein College of Medicine in the Bronx, NY.

​Research in our lab is currently made possible by a NIH K12-31239I CTSA Grant, an Einstein 2030 Seed Fund, and an IMPOWR-ME Pilot Award.
​
​Lab logo is designed by Stephen Trotto.