# HORNET  Center for Autonomic Nerve Recording and Stimulation Systems (CARSS)

> **NIH NIH U41** · UNIVERSITY OF SOUTHERN CALIFORNIA · 2024 · $481,628

## Abstract

The HORNET Center for Autonomic Nerve Recording and Stimulation Systems (CARSS) includes an
Administrative Core to facilitate the Center goal of realizing technology modules that are then integrated into an
open-source, open-architecture system. The Admin Core will oversee the operations of the Center, coordinating
the progress and interconnections between the 5 NEST Projects so that the Technology Integration and
Dissemination (TID) Core is able to finalize the system and share it broadly with end users.
 This is primarily accomplished by the efforts of the investigators and dedicated Center staff to provide
strategic leadership, project management support, and as a liaison to external partners, including NIH program
managers. By consolidating administrative responsibilities and connecting them directly through shared staff
with the TID Core, the individual NEST Projects can focus on their technical goals and timelines. The staff team
will also facilitate intra- and inter-Center meetings as well as reporting to the External Advisory Committee and
NIH. The structure allows all investigators to participate in the decision-making process and strategy while staff
are able to manage day-to-day operational needs.

## Key facts

- **NIH application ID:** 10908471
- **Project number:** 5U41NS129514-03
- **Recipient organization:** UNIVERSITY OF SOUTHERN CALIFORNIA
- **Principal Investigator:** Ellis Meng
- **Activity code:** U41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $481,628
- **Award type:** 5
- **Project period:** 2022-09-23 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10908471

## Citation

> US National Institutes of Health, RePORTER application 10908471, HORNET  Center for Autonomic Nerve Recording and Stimulation Systems (CARSS) (5U41NS129514-03). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10908471. Licensed CC0.

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