Brian is a free, open source simulator for spiking neural networks.

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

A brian2 extension to simulate spiking neural networks on GPUs

Brian 2 frontend to the GeNN simulator

This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.

Tools to use with Brian 2, in particular for visualization

Text To Speech Telegram Bot with Brian voice.

Export from NeuroML & LEMS

A simple TTS rewards script for Twitch channel points

Demo code of neural simulators for Google Colab

Computational models of the globular bushy cells in the ventral cochlear nucleus

Step-by-Step Brian Simulation

My master thesis "Statistical tests for connection algorithms for neural networks". Also available at https://nmbu.brage.unit.no/nmbu-xmlui/bitstream/handle/11250/189117/Hjertholm2013.pdf?sequence=1

KODI audio addon for The Socialist Program

myblog

Statistical tests for some of the most common connection algorithms used in neural networks. Brian, PyNN, NEST and CSA are tested.

CA1 network model: interneuron contributions to epileptic deficits (Shuman et al 2019)

Interface to connect multiple spiking neural network simulations using (or not) Brian through UDP packets.