#signal-processing #neuroscience #real-time #research #python-bindings #low-latency #lab

bin+lib direct-neural-biasing

A Rust library with Python and C++ bindings for low-latency, closed-loop neuroscience research

31 releases (4 breaking)

0.10.2 Sep 16, 2024
0.9.5 Sep 2, 2024
0.8.6 Jul 28, 2024

#6 in #neuroscience

Download history 8/week @ 2024-07-20 520/week @ 2024-07-27 9/week @ 2024-08-03 229/week @ 2024-08-17 22/week @ 2024-08-24 699/week @ 2024-08-31 62/week @ 2024-09-07 536/week @ 2024-09-14 89/week @ 2024-09-21 67/week @ 2024-09-28 7/week @ 2024-10-05 1/week @ 2024-10-12 69/week @ 2024-11-02

70 downloads per month

CC-BY-NC-4.0

105KB
2K SLoC

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.

lib.rs:

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.

Dependencies

~6–18MB
~268K SLoC