Quantitative Models of the Brain
Abstract
The Quantitative Models of the Brain program established a functional mathematical basis on which to build future advances in cognitive neuroscience, computing capability, and signal processing across the DoD. An important focus of this program was determining how information is stored and recalled in the brain and other DoD-relevant signals, developing predictive, quantitative models of learning, memory, and measurement. Using this understanding, the program developed powerful new symbolic computational capabilities for the DoD in a mathematical system that has provided the ability to understand complex and evolving signals and tasks while decreasing software and hardware requirements and other measurement resources. This included a comprehensive mathematical theory to extract and leverage information in signals at multiple acquisition levels that would fundamentally generalize compressive sensing for multi-dimensional sources beyond domains typically used. New insights related to signal priors, task priors, and adaptation have enabled these advances. This program further exploited advances in the understanding and modeling of brain activity and organization to improve training of individuals as well as identify new therapies for cognitive rehabilitation (e.g., Traumatic Brain Injury (TBI), Post Traumatic Stress Disorder (PTSD)). Critical to success was the ability to detect cellular and network-level changes produced in the brain during the formation of new, hierarchically organized memories and memory classes, and to correlate those changes with memory function of animals during performance of behavioral tasks.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2018
- Source ID
- 9a4d3f3112a7f8990d6c0b93a10637ec