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An Efficient and Extendable Python Library to Analyze Neuronal Morphologies

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Fig. 1
Fig. 2

Notes

  1. ©The MathWorks, Inc.

  2. http://btmorph.readthedocs.org/en/latest/api.html

  3. http://matplotlib.org/

  4. http://scipy.org/

  5. https://sqlite.org/

  6. http://btmorph.readthedocs.org/

  7. https://nose.readthedocs.org/en/latest/

  8. https://bitbucket.org/btorb/btmorph

References

  • Ascoli, G. A., Donohue, D. E., & Halavi, M. (2007). NeuroMorpho.Org: a central resource for neuronal morphologies. Journal of Neuroscience, 27(35), 9247–9251.

    Article  PubMed  CAS  Google Scholar 

  • Cannon, R. C., Turner, D. A., Pyapali, G. K., & Wheal, H. V. (1998). An on-line archive of reconstructed hippocampal neurons. Journal of Neuroscience Methods, 84(1–2), 49–54.

    Article  PubMed  CAS  Google Scholar 

  • Cuntz, H., Forstner, F., Borst, A., & Häusser, M. (2010). One rule to grow them all: a general theory of neuronal branching and its practical application. PLoS Computational Biology, 6(8), e1000877.

    Article  PubMed  PubMed Central  Google Scholar 

  • Glaser, J. R., & Glaser, E. M. (1990). Neuron imaging with neurolucida—a PC-based system for image combining microscopy. Computerized Medical Imaging and Graphics, 14(5), 307–317.

    Article  PubMed  CAS  Google Scholar 

  • Kaufmann, W. E., & Moser, H. W. (2000). Dendritic anomalies in disorders associated with mental retardation. Cerebral Cortex, 10(10), 981–991.

    Article  PubMed  CAS  Google Scholar 

  • Peters, A., & Payne, B. R. (1993). Numerical relationships between geniculocortical afferents and pyramidal cell modules in cat primary visual cortex. Cerebral Cortex, 3(1), 69–78.

    Article  PubMed  CAS  Google Scholar 

  • Scorcioni, R., Polavaram, S., & Ascoli, G. A. (2008). L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies. Nature Protocols, 3(5), 866–876.

    Article  PubMed  CAS  Google Scholar 

  • Soltesz, I. (2005). Diversity in the neuronal machine: Order and variability in interneuronal microcircuits. New-York: Oxford University Press.

    Google Scholar 

  • Torben-Nielsen, B., & Stiefel, K. M. (2010). An inverse approach for elucidating dendritic function. Frontiers in Computational Neuroscience, 4, 128.

    Article  PubMed  PubMed Central  Google Scholar 

  • Van Pelt, J., Uylings, H. B., Verwer, R. W., Pentney, R. J., & Woldenberg, M. J. (1992). Tree asymmetry—a sensitive and practical measure for binary topological trees. Bulletin of Mathematical Biology, 54(5), 759–784.

    Article  PubMed  Google Scholar 

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Torben-Nielsen, B. An Efficient and Extendable Python Library to Analyze Neuronal Morphologies. Neuroinform 12, 619–622 (2014). https://doi.org/10.1007/s12021-014-9232-7

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