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


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Accession:227114
"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. ..."
Reference:
1 . Dragly SA, Hobbi Mobarhan M, Våvang Solbrå A, Tennøe S, Hafreager A, Malthe-Sørenssen A, Fyhn M, Hafting T, Einevoll GT (2017) Neuronify: An Educational Simulator for Neural Circuits. eNeuro [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): Abstract integrate-and-fire leaky neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: Neuronify (web link to model);
Model Concept(s): Tutorial/Teaching; Learning;
Implementer(s): Dragly, Svenn-Arne ; Mobarhan, Milad Hobbi; Solbra, Andreas Vavang ; Tennoe, Simen ; Hafreager, Anders ;
(located via links below)
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