Project Grant 2319321

Award Date 9/1/23
Completion Date 8/31/28
Dollars Obligated $1.6M
Federal Grant Program
47.075
Assistance Type
Project Grant
Place of Performance
Boston, MA 02215, USA
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This National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences award under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $1,646,782 in funding to Trustees of Boston University over 5 years to develop a brain-inspired algorithm for complex scene analysis. The key products and services being delivered include:

The research integrates three interdisciplinary threads to develop this algorithm:

  1. Using brain imaging and machine learning to decode where a subject is attending in a complex audiovisual scene
  2. Investigating cortical circuits for complex scene analysis in attentive states through electrophysiology, optogenetics, and computational modeling in mice
  3. Designing an attention-steered algorithm for a wearable device that selectively processes an attended source, integrating the brain signal-decoded attended location and a model of cortical circuits

This research aims to improve complex scene analysis capabilities for applications like hearing aids and speech recognition technologies. The project also includes developing an educational platform to train students in this interdisciplinary area.

The award includes a $249,999 subaward to the University of Illinois at Urbana-Champaign to collect and analyze electrophysiology data from animals engaged in spatial sound localization tasks over years 1-4 of the project.

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