Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances

@inproceedings{Sousa2014DendriticMP,
  title={Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances},
  author={Giseli de Sousa and Reinoud Maex and Rod Adams and Neil Davey and Volker Steuber},
  booktitle={Journal of Computational Neuroscience},
  year={2014}
}
In this paper we examine how a neuron’s dendritic morphology can affect its pattern recognition performance. We use two different algorithms to systematically explore the space of dendritic morphologies: an algorithm that generates all possible dendritic trees with 22 terminal points, and one that creates representative samples of trees with 128 terminal points. Based on these trees, we construct multi-compartmental models. To assess the performance of the resulting neuronal models, we quantify… CONTINUE READING

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