NSF award 2602201 · Brown University

Sequential and fusion attractors as a mechanism for complex rhythm generation and neural binding in recurrent networks

Final report due

28 November 2029

in 1,137 days · The award ends on 31 July 2029.

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Decide about an extension2 Apr 2029in 897 days
award ending 2029-07-31 · Research.gov
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Extension request16 Jun 2029in 972 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jul 2029in 1007 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 July 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2029.

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Award card

Award number: 2602201
Period of support: 1 Aug 2026 – 31 Jul 2029
Amount: $270,000
Awardee: Brown University, Providence, RI
Program: MATHEMATICAL BIOLOGY, OFFICE OF MULTIDISCIPLINARY AC
Directorate: MPS

Abstract

Brains efficiently generate complex behaviors using a relatively stable structure and limited resources. In contrast, modern artificial intelligence (AI) systems rely on large networks that are computationally expensive, difficult to interpret, and often limited to solving a given set of tasks at a time. This project addresses these limitations by developing a novel "bottom-up" mathematical framework to understand…

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