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
A virtual optogenetics laboratory
spiking-neural-networks
UoM CS Final Year Project: Dynamical Behaviours in Neurons and Neuronal Networks
Network simulations of interneuron circuits in the honeybee primary auditory center
Network model of Rosenbaum et al. (2017) reimplemented in Brian 2. Developed as a course project during OCNC2017.
Neural network simulation of mouse visual cortex
Neuronal Simulation of the Granule Cell Layer within the Cerebellar Cortex
an implementation of Hodgkin-Huxley model using python package numpy and brian2
This app is a web-based simulator for spiking neural networks built with Flask and Brian2. Users can configure neuron and network parameters, run simulations, and visualize results interactively or as static plots. It supports multiple neuron models and allows exporting simulation data.
A Brian2-based spiking neural network model for perceptual decision-making, featuring selective inhibition control and top-down modulation. The GUI supports real-time visualization and comprehensive analyses, including single-trial and multiple-trial performance metrics such as psychometric curves, reaction times (RT), and energy landscapes
Small example of using matplotlib to visualize the results of a Brian 2 simulation managed by pypet.
Exploring data sonification & generative sound synthesis/sequencing with spiking neuron models
A biologically plausible model of astrocyte-neuron networks in random and hub-driven connectivity
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