# Anatomical and functional organization of inter-areal feedback circuits in the visual cortex, and their impact on neuronal responses

> **NIH NIH R01** · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · 2024 · $264,880

## Abstract

SUMMARY
The goals and specific aims of the present Administrative Supplement application are unchanged
with respect to the parent R01 award. Here we request additional funds for unanticipated
expenses within the original scope of the project. In the original application we proposed to
investigate the anatomical and functional organization of V2-to-V1 feedback (FB) circuits arising
from, and terminating in specific cortical layers in macaque monkeys. At the time we submitted
the parent R01 application, we could obtain non-naïve macaque monkeys at a cost of
approximately $2,000 per animal. Due to a country-wide shortage of macaque monkeys, we can
no longer obtain these non-naïve monkeys, and the current price for a cynomolgus macaque is
$23,500 per animal (including shipping). This requires significant additional costs, which we
cannot cover with the funds awarded. Therefore, with the present Supplement application we
request additional funds to cover the increased costs of the animals, which are necessary to carry
out the proposed studies.

## Key facts

- **NIH application ID:** 10946820
- **Project number:** 3R01EY026812-08S1
- **Recipient organization:** UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH
- **Principal Investigator:** Alessandra Angelucci
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $264,880
- **Award type:** 3
- **Project period:** 2016-06-01 → 2026-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10946820

## Citation

> US National Institutes of Health, RePORTER application 10946820, Anatomical and functional organization of inter-areal feedback circuits in the visual cortex, and their impact on neuronal responses (3R01EY026812-08S1). Retrieved via AI Analytics 2026-05-29 from https://api.ai-analytics.org/grant/nih/10946820. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*