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

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

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

3 Citations (Scopus)

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
Title of host publicationProceedings - International Symposium on Biomedical Imaging
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

Other

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

Fingerprint

Motor Neurons
Drosophila
Neurons
Logistic Models
Neuronal Plasticity
Carisoprodol
Dendrites
Green Fluorescent Proteins
Confocal Microscopy
Nervous System
Axons
Learning
Logistics
Confocal microscopy
Neurology
Maximum likelihood
Scalability
Proteins
Scanning
Networks (circuits)

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 Proceedings - International Symposium on Biomedical Imaging (pp. 864-867). [6235685] https://doi.org/10.1109/ISBI.2012.6235685

Patterning motor neurons in the Drosophila ventral nerve cord using latent state Conditional Random Fields. / Chang, X.; Kim, M. D.; Chiba, Akira; Tsechpenakis, G.

Proceedings - International Symposium on Biomedical Imaging. 2012. p. 864-867 6235685.

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

Chang, X, Kim, MD, Chiba, A & Tsechpenakis, G 2012, Patterning motor neurons in the Drosophila ventral nerve cord using latent state Conditional Random Fields. in Proceedings - International Symposium on Biomedical Imaging., 6235685, pp. 864-867, 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012, Barcelona, Spain, 5/2/12. https://doi.org/10.1109/ISBI.2012.6235685
Chang X, Kim MD, Chiba A, Tsechpenakis G. Patterning motor neurons in the Drosophila ventral nerve cord using latent state Conditional Random Fields. In Proceedings - International Symposium on Biomedical Imaging. 2012. p. 864-867. 6235685 https://doi.org/10.1109/ISBI.2012.6235685
Chang, X. ; Kim, M. D. ; Chiba, Akira ; Tsechpenakis, G. / Patterning motor neurons in the Drosophila ventral nerve cord using latent state Conditional Random Fields. Proceedings - International Symposium on Biomedical Imaging. 2012. pp. 864-867
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