Real-time neural signal processing for neuroscience and BCI research
BrainX3 is an open-source Python library and CLI toolkit designed for high-performance processing of neural data streams. From real-time feature extraction to publication-ready visualizations.
From raw data acquisition to publication-ready figures, BrainX3 provides a complete toolkit for modern neuroscience research.
Process high-frequency neural data in real-time with sub-millisecond latency. Built on optimized C++ backends.
Generate synthetic neural data for hypothesis testing. Simulate EEG, ECoG, and single-unit recordings.
Create publication-quality figures with one line of code. Automatic formatting for Nature, Science, IEEE.
Seamless integration with PyTorch and TensorFlow. Pre-built models for decoding and classification.
Interactive WebGL-based brain visualizations. Overlay signals on anatomical surfaces in real-time.
MIT licensed and community driven. Extensible architecture with plugin system for custom pipelines.
From neural signals to publication figures with real-time visualization.
Join thousands of neuroscientists and BCI researchers who trust BrainX3 for their signal processing needs.