35 releases (2 stable)
| 1.0.3 | Jul 12, 2025 |
|---|---|
| 0.12.3 | Dec 16, 2024 |
| 0.10.2 | Sep 16, 2024 |
| 0.8.6 | Jul 28, 2024 |
#559 in Debugging
2,053 downloads per month
115KB
2K
SLoC
Direct Neural Biasing is a rust package for the real time, closed-loop stimulation of neurons.
It is being developed by the Human Electrophysiology lab at UCL.
It is currently in development.
It's primarily written in Rust, but has bindings for Python and (soon) C++, to interface with Blackrock Microsystems devices for lab use.
DirectNeuralBiasing
Overview
DirectNeuralBiasing is a Rust package developed by the Human Electrophysiology Lab at UCL for low-latency, closed-loop neuroscience research. The library is designed to interface with Blackrock Microsystems devices for lab use. It is written in Rust with bindings for Python and soon C++.
Features
- Real-time signal processing for closed-loop neuroscience experiments.
- Modular structure with filters, detectors, and triggers.
- Python bindings for ease of use.
Links
GitHub: https://github.com/bushlab-ucl/DirectNeuralBiasingPyPi: https://pypi.org/project/direct-neural-biasingUCL Human Electrophysiology Lab: https://bushlab-ucl.github.io
Dependencies
~4–18MB
~185K SLoC