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sangfrois/README.md

♒🌻 François Lespinasse 🧠🤖

Transdisciplinary Trailblazer // PhD student @ ConcordiaUni Tio'tia:keh

I see myself as a cyber-maverick blurring boundaries and bending the rules of disciplines.

Sorry for the mess but... this is a revolution

  • 🔭 I’m currently working on interactive installations and performance research with GenAI and neurotechnologies
  • 🌱 I’m currently learning how to train « old school » GANs with my archives
  • 👯 I’m looking to collaborate on LLM-assisted descriptive phenomenology for interview data
  • 💬 Ask me about decolonizing Neuro-AI and brain-body data as cultural heritage

Key Contributions:

  • Goofi-pipe: A versatile Python library for real-time data streaming and analysis, designed for applications of neurotechnology and GenAI in arts.

    • Streamline data acquisition from various sources (EEG, Arduino ECG and plants, mic, webcam, etc.).
    • Perform advanced signal processing and feature extraction graphically.
    • Connects with Ableton/Max and Touchdesigner through OSC.
  • NeuroKit: A comprehensive Python toolbox for neurophysiological signal processing.

    • Offers a wide range of functionalities for analyzing physiological data.
    • Provides all the tools for artifact detection, feature extraction, and variability analysis.
  • Biotuner: A toolbox for Harmonic analysis of biosignals.

    • Identify, analyze and extrapolate harmonic information of EEG, ECG, Plants, and Audio in real-time
    • Create chord progressions, melodies and tunings from these data stream in Ableton/Max
    • Transpose ratios of frequency peaks to the visible and other regions of the electromagnetic spectrum, and get the color palettes and elements from the periodic table associated to the actual signals of the organism.
    • For scientific and artistic applications

Publications & Metrics:

Connect with me:

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  1. biotuner biotuner Public

    Forked from AntoineBellemare/biotuner

    Jupyter Notebook

  2. goofi-pipe goofi-pipe Public

    Forked from PhilippThoelke/goofi-pipe

    real-time neuro-/biosignal processing and streaming pipeline

    Python

  3. NeuroKit NeuroKit Public

    Forked from neuropsychology/NeuroKit

    NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...)

    Python 1

  4. phys2bids phys2bids Public

    Forked from physiopy/phys2bids

    Python3 library to format physiological files in BIDS. At the moment, it supports Acqknowledge and Labchart.

    Python

  5. physprep physprep Public

    An example physiological data preparation workflow that tries to implement best practices defined by the physiopy community

    Python 2