Robinson Lab
MiniStiMo, sheep-head mesh modeling, and embedded-systems learning
The lab page begins with MiniStiMo, a compact wireless deep brain stimulator for small-animal studies, then separates the sheep-head mesh modeling and Nordic SDK presentation work into their own project sections.
MiniStiMo integrates a BLE microcontroller, current-controlled stimulator, boost converter, and battery into a lightweight, head-mounted device for chronic DBS studies. The design prioritizes bill-of-materials cost, ease of use, and reproducibility.
2022 – 2024
1. System Diagram
MiniStiMo architecture
2. Stimulator Performance
(Current & Voltage)
Current Output vs. Time
(130 Hz)
Left validation view: current output over time across stimulation settings.
Voltage Across PBS & Electrode
(130 Hz)
Right validation view: measured response across PBS and electrode load.
3. Testing Setup
4. Videos
Device attachment and in vivo usage.
5. In Vivo Results (Parkinsonian Rat Model)
Wireless stimulation significantly reduces rotational behavior.
- 72 hours of continuous stimulation
- Battery capacity reduced from 100% to 95%
- Effective reduction in amphetamine-induced circling behavior
- Power-efficient and stable chronic performance
6. Sheep-Head Hardware Dummy
This separate modeling project created a sheep-head dummy that could be used to mount prototype hardware for mapping sheep herds as a mesh network.
7. Nordic SDK Learning
The Nordic SDK fundamentals courses helped connect the device story to the embedded-systems layer: BLE communication, firmware structure, board configuration, and the debugging habits needed when hardware behavior depends on both code and electronics.
- BLE concepts and device communication flow
- Firmware organization and peripheral configuration
- Debugging across board, battery, and stimulation behavior
- Documentation habits for reproducible embedded work
8. Supporting Materials
Open-Source. Reproducible. Accessible.
MiniStiMo is designed to lower barriers to chronic DBS research and enable reproducible science at scale.