DARPA: Neural Evidence Aggregation Tool (NEAT)

NEAT aims to develop a novel cognitive science tool that could be used to augment behavioral health screenings by accurately detecting what someone believes to be true.

By bringing together recent advances in cognitive science, neuroscience, physiological sensors, data science, and machine learning, the NEAT program will develop processes that can measure what a person believes to be true by (1) presenting carefully crafted stimuli that are designed to evoke specific preconscious mental processes, (2) detecting the resulting preconscious processes using current physiological sensors combined with state-of-the-art signal processing and neural analytics, and (3) using advances in machine learning and data science to aggregate the preconscious responses collected across a set of stimuli into a final measurement that quantifies what a person believes to be true for a specific topic.

 

 

Funding: no fixed limit 

Duration: 42 months

 

 

 

Research Authority due date: 22.3.22

Abstract (highly encouraged) due date: 29.3.22

Ful proposal due date: 23.5.22