neuron

Brain Modeling Toolkit

NEURON Simulator

Simulator optimized for large scale neural network simulations.

📝 Manage your Zettelkasten in {n}vim.

pyABF is a Python package for reading electrophysiology data from Axon Binary Format (ABF) files

A template to get started with neuron

NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.

Robust 3D Neuron Tracing / General 3D tree structure extraction in Python for 3D images powered by the Rivulet2 algorithm. Pain-free Install & use in 5 mins.

Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.

A MATLAB neuron simulator. Very fast (written in C++). Flexible (fully object oriented). Immediate (live manipulation in MATLAB). Comes with a powerful parameter optimizer. Get started ➡️

Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.

A virtual optogenetics laboratory

Language server implementation for neuron

Collection of Python 3 tools to work with neuron data from CATMAID servers

📊 Gene expression in neuroexpresso database

Tutorial for understanding how to use NEURON simulation environment

NEURON User Interface

Auto-generate a Table of Contents for your Neuron Zettelkasten.

A neovim plugin written in lua to interact with the neuron Zettelkasten software.

Ring network model test to demonstrate the use of CoreNEURON

This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it has original content in terms of code.

T2N is an extension of the TREES toolbox providing an interface between Matlab and the compartmental modeling environment NEURON. It was published in (and should be cited this way): Beining M, Mongiat, LA, Schwarzacher SW, Cuntz H, Jedlicka P: T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells. eLife 2017; 6:e26517

Brilliantly Radical Artificially Intelligent Neural Machine

Export from NeuroML & LEMS

Implementing Artificial Neural Network training process in Python

Plot, edit, generate and analysis neuron morphologies! and a lot more...

Tutorial Series for Spiking Neural Networks 🔥

LPU class with support for various neuron and synapse models

Python tools to interact with Google brainmaps API