Accession Number:

AD1096504

Title:

Systems Theoretic Analysis and Optimization of Biophysical Neuronal Networks

Descriptive Note:

Technical Report,01 May 2013,30 Apr 2019

Corporate Author:

WASHINGTON UNIVERSITY THE SAINT LOUIS United States

Personal Author(s):

• Ching,Shinung

Report Date:

2019-07-31

Pagination or Media Count:

14.0

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.

Descriptors:

• information processing
• information theory
• coding
• computational neuroscience
• neural networks
• cognition
• biophysics
• optimization

Subject Categories:

• Human Factors Engineering and Man Machine Systems
• Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE