WILD (Wireless, Interactive, Lightweight Datalogger) is an ultra-lightweight multimodal neurologger for long-term neural and behavioral recording in freely behaving animals. It combines local neural data logging, behavioral sensing, onboard processing, and responsive stimulation in a head-mounted platform designed for naturalistic and multi-animal experiments.
The documentation portal is built with MkDocs Material and is maintained through Markdown files in docs/.
- Local microSD electrophysiology recording with BLE-based control, synchronization, status, and low-bandwidth preview
- Closed-loop stimulation through embedded DSP and curated TinyML pipelines
- Current open-source 64-channel workflows, with Neuropixels-compatible and active-probe variants documented separately as research targets
- IMU, ultrasonic audio, camera, and digital event recording
- TinyML inference support through validated release-integrated models
- Long-term recording and multi-animal experiment workflows
| Path | Purpose |
|---|---|
docs/ |
MkDocs documentation source |
Firmware/ |
Current fused CE64 images and validation limits |
| Tagged GitHub releases | Archived release assets |
Software/ |
WILD Console installers |
Code/ |
MATLAB and Python analysis scripts |
PCB/ |
PCB fabrication and assembly files |
3Dprint/ |
Mechanical parts and CAD files |
pip install -r requirements.txt
mkdocs serveThe GitHub Pages workflow builds the site with:
mkdocs build --strictSee LICENSE.