Using Strahler's analysis to reduce realistic models (Marasco et al, 2013)

Building on our previous work (Marasco et al., (2012)), we present a general reduction method based on Strahler's analysis of neuron morphologies. We show that, without any fitting or tuning procedures, it is possible to map any morphologically and biophysically accurate neuron model into an equivalent reduced version. Using this method for Purkinje cells, we demonstrate how run times can be reduced up to 200-fold, while accurately taking into account the effects of arbitrarily located and activated synaptic inputs.

Model Type: Neuron or other electrically excitable cell; Dendrite

Region(s) or Organism(s): Hippocampus; Cerebellum

Cell Type(s): Hippocampus CA1 pyramidal GLU cell; Cerebellum Purkinje GABA cell

Currents: I Na,t; I T low threshold; I K; I Calcium; Ca pump

Receptors: AMPA

Transmitters: Glutamate

Model Concept(s): Activity Patterns; Active Dendrites; Influence of Dendritic Geometry; Detailed Neuronal Models; Action Potentials; Synaptic Integration

Simulation Environment: NEURON

Implementer(s): Limongiello, Alessandro [alessandro.limongiello at]


Marasco A, Limongiello A, Migliore M. (2013). Using Strahler's analysis to reduce up to 200-fold the run time of realistic neuron models. Scientific reports. 3 [PubMed]

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