Brain-Inspired Computing

Neural Computing
We are leveraging findings from neuroscience to develop new algorithmic approaches to address challenges in deriving insights from complex, dynamic data sources. This research takes two forms:
(1) computational neuroscience research on specific neural processes, particularly those related to cognition such as memory and decision making, and (2) the development of neural simulation tools that leverage high performance computing and high dimensional analytical approaches. This translational computational neuroscience research aims to contribute both to our greater understanding of the brain as well as leveraging neuroscience more broadly within computing applications.

Hardware
For neural processing functionality, a new hardware approach (substrate) is necessary. When deep neural approaches are implemented on conventional von Neumann architecture with precise, exact calculations only and large energy penalty for data movement, the overhead becomes too large. We are developing a new substrate with novel optoelectronic and electronic devices, with the necessary functionality implemented at the lowest device level possible to perform pattern recognition, abstraction, prediction and model adjustment (learning), enabled by massive interconnectivity and reconfigurability (plasticity) implemented by local rules.

High Consequence Decision Making

Under Augmentation
We are investigating ways to augment human performance through cognitive training, evaluation of neural performance, and the creation of adaptive systems that support human cognition. Our research on cognitive processes and human-system interactions is leveraged to inform system design, maximizing the system’s benefits to the user.

Behavioral Analysis and Forecasting
Sandia National Laboratories is developing the Behavioral Influence Assessment (BIA) system to simulate interactions among individuals, groups, and societies. The specific objective is to produce a systems-level capability that enables analysts to better assess potential actions (and counter-actions) of entities within a foreign country of interest before, during, and after an event. Dynamics that drive stability and instability are included.