The network architecture of value learning
Abstract
Value guides behavior. With knowledge of stimulus values and action consequences, behaviors that maximize expected reward can be selected. Prior work has identified several brain structures critical for representing both stimuli and their values. Yet, it remains unclear how these structures interact with one another and with other regions of the brain to support the dynamic acquisition of value-related knowledge. Here, we use a network neuroscience approach to examine how BOLD functional networks change as 20 healthy human subjects learn the values of novel visual stimuli over the course of four consecutive days. We show that connections between regions of the visual, frontal, and cingulate cortices become stronger as learning progresses, with some of these changes being specific to the type of feedback received during learning. These results demonstrate that functional networks dynamically track behavioral improvement in value judgments, and that interactions between network communities form predictive biomarkers of learning.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jun 01, 2018
- Source ID
- 10.1162/netn_a_00021
Entities
People
- Danielle Bassett
- Marcelo G Mattar
- Sharon L. Thompson-schill
Organizations
- Alfred P. Sloan Foundation
- John D. and Catherine T. MacArthur Foundation
- National Institutes of Health
- National Science Foundation
- Office of Naval Research
- United States Army Research Laboratory
- University of Pennsylvania