Morphological Neuron Classification Based on Dendritic Tree Hierarchy
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Roberto Marcondes Cesar Junior | Cesar H. Comin | Luciano da Fontoura Costa | Evelyn Perez Cervantes
[1] C. Stevens,et al. A General Principle of Neural Arbor Branch Density , 2011, Current Biology.
[2] G. Ascoli,et al. NeuroMorpho.Org: A Central Resource for Neuronal Morphologies , 2007, The Journal of Neuroscience.
[3] Giorgio A. Ascoli,et al. Towards the automatic classification of neurons , 2015, Trends in Neurosciences.
[4] Ting Zhao,et al. Automatic Neuron Type Identification by Neurite Localization in the Drosophila Medulla , 2014, ArXiv.
[5] Xintong Dong,et al. Intrinsic and extrinsic mechanisms of dendritic morphogenesis. , 2015, Annual review of physiology.
[6] R. C Cannon,et al. An on-line archive of reconstructed hippocampal neurons , 1998, Journal of Neuroscience Methods.
[7] Concha Bielza,et al. Bayesian Network Classifiers for Categorizing Cortical GABAergic Interneurons , 2015, Neuroinformatics.
[8] Staci A. Sorensen,et al. Shifting the paradigm: new approaches for characterizing and classifying neurons , 2009, Current Opinion in Neurobiology.
[9] M. Alexander,et al. Principles of Neural Science , 1981 .
[10] J. N. Kay,et al. Development of dendritic form and function. , 2015, Annual review of cell and developmental biology.
[11] Giorgio A. Ascoli,et al. Topological characterization of neuronal arbor morphology via sequence representation: II - global alignment , 2015, BMC Bioinformatics.
[12] Ronald R. Coifman,et al. Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure , 2014, Neuroinformatics.
[13] Giorgio A. Ascoli,et al. Topological characterization of neuronal arbor morphology via sequence representation: I - motif analysis , 2015, BMC Bioinformatics.
[14] Mauro Miazaki,et al. Frontiers in Computational Neuroscience , 2022 .
[15] Jaap van Pelt,et al. Statistical Analysis of Neuronal Populations , 1989 .
[16] Sen Song,et al. A genetic and computational approach to structurally classify neuronal types , 2014, Nature Communications.
[17] T. Sejnowski,et al. [Letters to nature] , 1996, Nature.
[18] Luciano da Fontoura Costa,et al. Neuromorphometric characterization with shape functionals. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[19] Luciano da Fontoura Costa,et al. Shape, connectedness and dynamics in neuronal networks , 2013, Journal of Neuroscience Methods.
[20] Concha Bielza,et al. Bayesian network modeling of the consensus between experts: An application to neuron classification , 2014 .
[21] S. Schultz,et al. Localising and classifying neurons from high density MEA recordings , 2014, Journal of Neuroscience Methods.
[22] Jason Weston,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.
[23] G. Ascoli. Computational Neuroanatomy , 2002, Humana Press.
[24] T. Velte,et al. Automatic characterization and classification of ganglion cells from the salamander retina , 1999, The Journal of comparative neurology.
[25] H. Sebastian Seung,et al. Automated computation of arbor densities: a step toward identifying neuronal cell types , 2014, Front. Neuroanat..
[26] G. Ascoli,et al. L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies , 2008, Nature Protocols.
[27] Benjamin Torben-Nielsen,et al. An Efficient and Extendable Python Library to Analyze Neuronal Morphologies , 2014, Neuroinformatics.
[28] Javier DeFelipe,et al. Cortical interneurons: from Cajal to 2001. , 2002, Progress in brain research.
[29] Yuchio Yanagawa,et al. Morpho-physiological Criteria Divide Dentatecc Gyrus Interneurons into Classes , 2013, Hippocampus.
[30] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[31] Ruchi Parekh,et al. Neuronal Morphology Goes Digital: A Research Hub for Cellular and System Neuroscience , 2013, Neuron.
[32] Tatyana O. Sharpee,et al. Toward Functional Classification of Neuronal Types , 2014, Neuron.
[33] Florence Besse,et al. Axonal tree classification using an Elastic Shape Analysis based distance , 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).
[34] Larry W. Swanson,et al. The neuron classification problem , 2007, Brain Research Reviews.
[35] W. Rall. Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input. , 1967, Journal of neurophysiology.
[36] R. Yuste,et al. Neural Circuits Original Research Article Materials and Methods Preparation of Brain Slices , 2022 .
[37] Y. Uji,et al. Morphological classification of retinal ganglion cells in mice , 1995, The Journal of comparative neurology.
[38] R. Yuste,et al. Classification of neocortical interneurons using affinity propagation , 2013, Front. Neural Circuits.
[39] Giorgio A. Ascoli,et al. Digital Reconstructions of Neuronal Morphology: Three Decades of Research Trends , 2012, Front. Neurosci..
[40] J. Magee. Dendritic integration of excitatory synaptic input , 2000, Nature Reviews Neuroscience.
[41] Brian R. Tietz,et al. Deciding Which Way to Go: How Do Insects Alter Movements to Negotiate Barriers? , 2012, Front. Neurosci..
[42] Jaap van Pelt,et al. Measures for quantifying dendritic arborizations , 2002, Network.
[43] Hauke R. Heekeren,et al. Linking neuronal variability to perceptual decision making via neuroimaging , 2011 .