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Scorcioni R, Polavaram S, Ascoli GA. (2008). L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies. Nature protocols. 3 [PubMed]

See more from authors: Scorcioni R · Polavaram S · Ascoli GA

References and models cited by this paper
References and models that cite this paper

Amatrudo JM et al. (2012). Influence of highly distinctive structural properties on the excitability of pyramidal neurons in monkey visual and prefrontal cortices. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32 [PubMed]

Bingham CS et al. (2020). ROOTS: An Algorithm to Generate Biologically Realistic Cortical Axons and an Application to Electroceutical Modeling Frontiers in Computational Neuroscience. 14

Justus D et al. (2017). Glutamatergic synaptic integration of locomotion speed via septoentorhinal projections. Nature neuroscience. 20 [PubMed]

Komendantov AO, Ascoli GA. (2009). Dendritic excitability and neuronal morphology as determinants of synaptic efficacy. Journal of neurophysiology. 101 [PubMed]

Munro E, Kopell N. (2012). Subthreshold somatic voltage in neocortical pyramidal cells can control whether spikes propagate from the axonal plexus to axon terminals: a model study. Journal of neurophysiology. 107 [PubMed]

Nanda S, Das R, Bhattacharjee S, Cox DN, Ascoli GA. (2018). Morphological determinants of dendritic arborization neurons in Drosophila larva. Brain structure & function. 223 [PubMed]

Parekh R, Ascoli GA. (2013). Neuronal morphology goes digital: a research hub for cellular and system neuroscience. Neuron. 77 [PubMed]

Tejada J, Arisi GM, GarcĂ­a-Cairasco N, Roque AC. (2012). Morphological alterations in newly born dentate gyrus granule cells that emerge after status epilepticus contribute to make them less excitable. PloS one. 7 [PubMed]

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