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Data
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ROOTS: An Algorithm to Generate Biologically Realistic Cortical Axons (Bingham et al 2020)
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Tom Morse - MoldelDB admin
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"... a Ruled-Optimum Ordered Tree System (ROOTS) was developed
that extends the capability of neuronal morphology generative
methods to include highly branched cortical axon terminal
arbors. Further, this study presents and explores a clear
use-case for such models in the prediction of cortical tissue
response to externally applied electric fields. The results
presented herein comprise (i) a quantitative and qualitative
analysis of the generative algorithm proposed, (ii) a comparison
of generated fibers with those observed in histological
studies, (iii) a study of the requisite spatial and morphological
complexity of axonal arbors for accurate prediction of neuronal
response to extracellular electrical stimulation, and (iv) an
extracellular electrical stimulation strength–duration analysis
to explore probable thresholds of excitation of the dentate
perforant path under controlled conditions.
..."
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Bingham CS, Mergenthal A, Bouteiller JC, Song D, Lazzi G, Berger TW (2020) Show
Other
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Bingham, Clayton S [clayton.bingham at gmail.com] Show
Other
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tom.morse@yale.edu
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