Information Processing and Collective Behavior in a Model Neuronal System
Abstract
This project used neurons in the suprachiasmatic nucleus to understand information processing and collective behavior. The work is computational, and all work done with mathematical models that have been fit to experimental data. Models simulated up to 20,000 neurons in which internal molecular oscillations, with a period of around a day, are generated. On a fast neuronal timescale, these rhythms are co-ordinated and used to process environmental information. By studying this system, we learn about how multiagent systems can efficiently process environmental signals. Our progress was superb and lead to many key papers in high-impact journals. There was also great interest in our work, and we were called on to additionally explore how similar systems in other tissues (e.g. the heart) or organisms (e.g. the Monarch, which is currently being studied by other AFOSR researchers). This was done in addition to meeting the original goals of the grant.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 28, 2014
- Accession Number
- ADA601965
Entities
People
- Daniel B. Forger
Organizations
- University of Michigan