Parametric OpenSCAD models for BCI electrode holders, paste adapters, headset hooks, pogo combs, fNIRS housings, and eurorack frames. Use when designing, modifying, or 3D-printing brain-computer interface hardware.
Parametric 3D models for brain-computer interface and neuromodulation hardware.
| Model | File | Purpose |
|---|---|---|
| Electrode Holder Mod | electrode_holder_mod.scad | Modified EEG electrode holder for dry/wet electrodes |
| Paste Adapter | paste_adapter.scad | Conductive paste application adapter for wet EEG |
| Headset Hook | headset_hook.scad | Mounting hook for BCI headset suspension |
| C3/C4 Pogo Comb | c3c4_pogo_comb.scad | Spring-loaded pogo pin electrode comb for motor cortex (C3/C4 10-20 system) |
| fNIRS ECU Housing | ecu_housing_base.stl + ecu_housing_lid.stl | OpenNIRScap electronics enclosure |
| fNIRS Sensor Capsule | sensor_capsule.stl | Light source/detector capsule for fNIRS optodes |
| Electrode Plate 8-up | electrode_plate_8up.stl | 8-position electrode array plate |
| Eurorack Frame | frame-rail.stl, frame-connector.stl, frame-stand.stl | Moduleur eurorack housing for BCI signal chain |
# Render STL from SCAD
openscad -o output.stl -D 'electrode_diameter=10' electrode_holder_mod.scad
# Batch render all SCAD files
for f in *.scad; do openscad -o "${f%.scad}.stl" "$f"; done
zig-syrup-bci for signal acquisition firmwareopennirscap-build for fNIRS cap assemblycyton-dongle for OpenBCI Cyton/Daisy connectionPyTorch深度学习模式与最佳实践，用于构建稳健、高效且可复现的训练流程、模型架构和数据加载。