Welcome to the repository for the Human Cortical Organoid/Spheroid Signal Analysis project. This project endeavors to unravel the complexities of neural networks through the study of human cortical organoids and spheroids. Our goal is to advance the understanding of neural signal patterns and their implications in neuroscience.
Spheroids - FinalSpark - Live view of the spheroids
FinalSpark and Synthetic Intelligence Labs
The FinalSpark subsystem focuses on the statistical analysis of human cortical spheroids, exploring new methodologies and experiments to enhance our understanding of neural dynamics.
- Statistical Analysis: Rethinking the application of traditional statistical methods like t-tests and exploring robust alternatives.
- Experimental Collaboration: Engaging with neuroscientific teams to propose and conduct groundbreaking experiments.
- Data Processing: Developing precise functions for the calculation of metrics, tailored to specific data structures.
Myelin Lab and Synthetic Intelligence Labs
The Myelin Lab's Opto Dishbrain project is an innovative exploration of human cortical organoids using optogenetics, aiming to dissect the mysteries of neural activation and responses.
Opto Stim Beginning Testing Video
- Stimulation System Development: Crafting a precise stimulation delivery system for microelectrode arrays (MEAs).
- Technology Integration: Incorporating Linux and Virtual Network Computing (VNC) for advanced data processing capabilities.
- Optogenetic Research: Investigating the optimal activation energy and wavelengths for ChR2 in optogenetic applications.
We're more than a project; we're a movement. Let's make history together. Get in touch!
For collaborations, press inquiries, or questions:
- Email: [email protected] or [email protected]
- Discord: soul_syrup
We invite you to test our PyPI library for human brain cortical organoid/spheroid, EEG, ECoG, and other signal analyses:
- Neural Signal Analysis Library from Synthetic Intelligence Labs.
- Bio Silicon Synergetic Intelligence System: Fusing the intelligence of brain and computer into a synergetic learning system.
- EEG Prediction with Chaos Theory: Leveraging chaos theory and a CNN Kuramoto transformer RNN for signal prediction. Includes PyPI library implementations.
- Bacteria Neural Network (Upcoming): An innovative approach using bacteria as functional components of a neural network. Collaboration between Synthetic Intelligence Labs and Complex Living Machines Lab Dr. Yoshikatsu Hayashi
Human Cortical Organoid/Spheroid Signal Analysis by Synthetic Intelligence Labs is licensed under CC BY-SA 4.0