Metrics for comparing neuronal tree shapes based on persistent homology
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Metrics for comparing neuronal tree shapes based on persistent homology
Authors
Keywords
Neurons, Phylogenetic analysis, Neuronal dendrites, Dendritic structure, Vector spaces, Geodesics, Neuronal morphology, Topology
Journal
PLoS One
Volume 12, Issue 8, Pages e0182184
Publisher
Public Library of Science (PLoS)
Online
2017-08-16
DOI
10.1371/journal.pone.0182184
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Persistent homology analysis of brain artery trees
- (2016) Paul Bendich et al. Annals of Applied Statistics
- NBLAST: Rapid, Sensitive Comparison of Neuronal Structure and Construction of Neuron Family Databases
- (2016) Marta Costa et al. NEURON
- Topological characterization of neuronal arbor morphology via sequence representation: II - global alignment
- (2015) Todd A Gillette et al. BMC BIOINFORMATICS
- Reconstruction and Simulation of Neocortical Microcircuitry
- (2015) Henry Markram et al. CELL
- BlastNeuron for Automated Comparison, Retrieval and Clustering of 3D Neuron Morphologies
- (2015) Yinan Wan et al. NEUROINFORMATICS
- Towards the automatic classification of neurons
- (2015) Rubén Armañanzas et al. TRENDS IN NEUROSCIENCES
- Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure
- (2014) Yanbin Lu et al. NEUROINFORMATICS
- From Curves to Trees: A Tree-like Shapes Distance Using the Elastic Shape Analysis Framework
- (2014) A. Mottini et al. NEUROINFORMATICS
- Mature Purkinje Cells Require the Retinoic Acid-Related Orphan Receptor- (ROR ) to Maintain Climbing Fiber Mono-Innervation and Other Adult Characteristics
- (2013) X. R. Chen et al. JOURNAL OF NEUROSCIENCE
- A visual motion detection circuit suggested by Drosophila connectomics
- (2013) Shin-ya Takemura et al. NATURE
- New insights into the classification and nomenclature of cortical GABAergic interneurons
- (2013) Javier DeFelipe et al. NATURE REVIEWS NEUROSCIENCE
- Three-dimensional tracking and analysis of ion channel signals across dendritic arbors
- (2013) Melanie Ginger et al. Frontiers in Neural Circuits
- Classification of neocortical interneurons using affinity propagation
- (2013) Roberto Santana et al. Frontiers in Neural Circuits
- Digital Morphometry of Rat Cerebellar Climbing Fibers Reveals Distinct Branch and Bouton Types
- (2012) K. M. Brown et al. JOURNAL OF NEUROSCIENCE
- Morphological Homogeneity of Neurons: Searching for Outlier Neuronal Cells
- (2012) Krissia Zawadzki et al. NEUROINFORMATICS
- The DIADEM Metric: Comparing Multiple Reconstructions of the Same Neuron
- (2011) Todd A. Gillette et al. NEUROINFORMATICS
- Three-Dimensional Reconstruction of Brain-wide Wiring Networks in Drosophila at Single-Cell Resolution
- (2010) Ann-Shyn Chiang et al. CURRENT BIOLOGY
- Comparison between supervised and unsupervised classifications of neuronal cell types: A case study
- (2010) Luis Guerra et al. Developmental Neurobiology
- Topology and data
- (2009) Gunnar Carlsson BULLETIN OF THE AMERICAN MATHEMATICAL SOCIETY
- Quantitative morphometry of electrophysiologically identified CA3b interneurons reveals robust local geometry and distinct cell classes
- (2009) Giorgio A. Ascoli et al. JOURNAL OF COMPARATIVE NEUROLOGY
- On Comparing Neuronal Morphologies with the Constrained Tree-edit-distance
- (2009) Todd A. Gillette et al. NEUROINFORMATICS
- The Tree-Edit-Distance, a Measure for Quantifying Neuronal Morphology
- (2009) Holger Heumann et al. NEUROINFORMATICS
- L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies
- (2008) Ruggero Scorcioni et al. Nature Protocols
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started