Trust-Based Open Source Neural Simulation System — PHAM Neural Genesis v3 Blockchain + AI + Transparency
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Updated
Nov 11, 2025 - Python
Trust-Based Open Source Neural Simulation System — PHAM Neural Genesis v3 Blockchain + AI + Transparency
🧠 Detect neurodegenerative patterns early using advanced machine learning with ADNI data for improved insights and outcomes.
🧠 Detect neurodegenerative patterns early using advanced machine learning models with ADNI data for impactful health insights.
🧠 Detect MCI from EEG/ERP data using standardized datasets, feature pipelines, and robust validation metrics for reproducible research.
Documentation website for Virtual Brain Lab projects
Motion energy features from video
Parameterizing neural power spectra into periodic & aperiodic components.
napari plugin for analyzing fluorescence-labeled proteins redistribution
Automatic labeling of ICA components in Python.
Python toolkit for working with the DoOR (Database of Odorant Responses) database
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Automatically process entire electrophysiological datasets using MNE-Python.
A Python-based platform for automated neuronal image analysis and visualization. Streamlines the processing of microscopy data to accelerate neuroscience research workflows.
Advanced EEG analysis toolkit for meditation practice. Analyzes brainwave patterns with focus on Delta/Theta waves to track meditation depth and provide insights.
Brian is a free, open source simulator for spiking neural networks.
Open-source desktop app for AI-powered animal behavior analysis. v3 (beta) is actively developed and recommended for new projects. For published, reproducible code, use v2-stable.
A Python toolbox for analysing animal body movements across space and time
Repository for ActiTect (general-purpose actigraphy analysis) and RBDisco (RBD prediction from wrist actigraphy).
A Python signal analysis toolbox for computing spectral-domain interactions using the bispectrum.
An analysis toolkit for the estimation of neuroimaging observables
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