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- W2058670052 abstract "The cellular mechanisms underlying higher brain functions/dysfunctions are extremely difficult to investigate experimentally and detailed neuron models have proven to be a very useful tool to help these kind of investigations. However, realistic neuronal networks of sizes appropriate to study brain functions present the major problem of requiring a prohibitively high computational resources. Here, building on our previous work, 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." @default.
- W2058670052 created "2016-06-24" @default.
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- W2058670052 date "2013-10-14" @default.
- W2058670052 modified "2023-09-28" @default.
- W2058670052 title "Using Strahler's analysis to reduce up to 200-fold the run time of realistic neuron models" @default.
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- W2058670052 doi "https://doi.org/10.1038/srep02934" @default.
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