A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.

Examples of BrainPy

Implementation of a minimal neural network model for the study of self-organized criticality

This tool provides a new formulation of Zetterberg-Jansen and Rit Neural Mass Models (ZJR NMM), considering distributed delays and kinetics information. Numerical integration was carried out through Local Lineariation Method (LLM) to increase the program efficiency

Cognitive and Neural Modeling project that critiques a sequantial decision processing model and explores additions (& enhancements) and internals of the same.

neural network project for grad school, using lasagne

Spike2Pop 🧠⚡ is an open-source, user-friendly tool that allows neuroscientists to generate populations of degenerate conductance-based models (CBMs) from spike time recordings, making computational modeling more accessible and scalable for experimental workflows.