On the long time behaviour of single stochastic Hodgkin-Huxley neurons (Höpfner 2023)

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Accession:267611
This is the R program associated to the paper R. Hoepfner On the long time behaviour of single stochastic Hodgkin-Huxley neurons with constant signal, and a construction of circuits of interacting neurons showing self-organized rhythmic interactions Mathematical Neuroscience and Applications, to appear arXiv:2203:16160
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
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Simulation Environment: R;
Model Concept(s): Stochastic simulation;
Implementer(s): Höpfner, Reinhard;
 
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hoepfner2023
                            
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