Neuronify: An Educational Simulator for Neural Circuits (Dragly et al 2017)

"Neuronify, a new educational software application (app) providing an interactive way of learning about neural networks, is described. Neuronify allows students with no programming experience to easily build and explore networks in a plug-and-play manner picking network elements (neurons, stimulators, recording devices) from a menu. The app is based on the commonly used integrate-and-fire type model neuron and has adjustable neuronal and synaptic parameters. ..."

Model Type: Realistic Network

Cell Type(s): Abstract integrate-and-fire leaky neuron

Model Concept(s): Tutorial/Teaching; Learning

Simulation Environment: Neuronify (web link to model)

Implementer(s): Dragly, Svenn-Arne ; Mobarhan, Milad Hobbi; Solbra, Andreas Vavang ; Tennoe, Simen ; Hafreager, Anders


Dragly SA et al. (2017). Neuronify: An Educational Simulator for Neural Circuits. eNeuro. 4 [PubMed]

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