Patterning motor neurons in the Drosophila ventral nerve cord using latent state Conditional Random Fields

X. Chang, M. D. Kim, A. Chiba, G. Tsechpenakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Type-specific dendritic arborization patterns dictate synaptic connectivity and are fundamental determinants of neuronal function. We exploit the morphological stereotypy and relative simplicity of the Drosophila nervous system to model the diverse neuronal morphologies of individual motor neurons (MNs) and understand underlying principles of synaptic connectivity in a motor circuit. In our analysis, we use images depicting single neurons labeled with green fluorescent protein (GFP) and serially imaged with laser scanning confocal microscopy. We model morphology with a novel formulation of Conditional Random Fields, a latent state CRF, to capture the highly varying compartment-based structure of the neurons (soma-axon-dendrites). We integrate a multi-class logistic model as the local potential function for combining compartment features. All parameters are learned in a single procedure, while L1-norm logistic model parameters are added in the maximum pseudo-likelihood model for learning with better scalability. The regularization hyper-parameters are chosen with a minimum cross-validation generalization error model.

Original languageEnglish (US)
Title of host publication2012 9th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2012 - Proceedings
Pages864-867
Number of pages4
DOIs
StatePublished - Aug 15 2012
Event2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
Duration: May 2 2012May 5 2012

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
CountrySpain
CityBarcelona
Period5/2/125/5/12

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Keywords

  • Drosophila
  • latent state Conditional Random Fields
  • neuron morphology

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Chang, X., Kim, M. D., Chiba, A., & Tsechpenakis, G. (2012). Patterning motor neurons in the Drosophila ventral nerve cord using latent state Conditional Random Fields. In 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Proceedings (pp. 864-867). [6235685] (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2012.6235685