Systems Theoretic Analysis and Optimization of Biophysical Neuronal Networks
Abstract
The overall goal of grant FA9550-15-1-0199 was to investigate the link between biophysical neural dynamics and function (e.g., information processing, computation). This goal is motivated by the fact that despite the exquisite range of dynamics present in actual neural circuits, most artificial neural network constructs rely on high level architectural abstractions devoid of temporal dynamics. Thus, an improved understanding of the functional role of neural biophysics could ultimately lead to new machine intelligence schemes. The major activities were organized into two objectives, involving both analysis and synthesis of biophysical neural dynamics. This final report document details the research outcomes and products.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 31, 2019
- Accession Number
- AD1096504
Entities
People
- ShiNung Ching
Organizations
- University of Washington