NSF award 2605763 · University of California-Los Angeles

Collaborative Research: CRCNS Research Proposal: Learning the structure of neural population encodings from multi-embedding manifolds and dynamics

Final report due

29 December 2030

in 1,533 days · The award ends on 31 August 2030.

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Decide about an extension3 May 2030in 1293 days
award ending 2030-08-31 · Research.gov
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Extension request17 Jul 2030in 1368 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2030in 1403 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2030in 1533 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2030in 1533 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2030in 1533 days
award ending 2030-08-31 · 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 August 2030.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2030.

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Award card

Award number: 2605763
Period of support: 1 Sep 2026 – 31 Aug 2030
Amount: $675,630
Awardee: University of California-Los Angeles, LOS Angeles, CA
Program: Cross-Directorate Activities
Directorate: SBE

Abstract

Visually, experience causes large networks of neurons to respond in idiosyncratic patterns. This project investigates how those firing patterns of neurons across the brain represent the visual information present in the external world, by measuring large quantities of neurons in different regions of mouse visual cortex, while the mouse experiences different kinds of experimentally controlled visual stimuli. To make…

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