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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.
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.
Demo code of neural simulators for Google Colab
A simple TTS rewards script for Twitch channel points
Computational models of the globular bushy cells in the ventral cochlear nucleus
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
Step-by-Step Brian Simulation
Statistical tests for some of the most common connection algorithms used in neural networks. Brian, PyNN, NEST and CSA are tested.
Kodi / XMBC / Firestick audio addon for the Street Fight Radio podcast
CA1 network model: interneuron contributions to epileptic deficits (Shuman et al 2019)
😁 Every day, a funny piece of Javascript. — Inspiration taken from wtfjs (https://wtfjs.com/)
These are models that are used to study the spiking of the neurones organized according to their complexity from just considering the voltage to doing the ADEX model
Energy-based neuronal models (eLIF and mAdExp)
A repository with the reference to my Brian Framework tools
Modeling epileptic seizure induced by depolarization block (Kim & Dykamp 2017)
Robust modulation of integrate-and-fire models (Van Pottelbergh et al 2018)
Interface to connect multiple spiking neural network simulations using (or not) Brian through UDP packets.