A genetic and computational approach to structurally classify neuronal types. - Wikidata - awgldk - TriplyDB

A genetic and computational approach to structurally classify neuronal types.

A genetic and computational approach to structurally classify neuronal types.

http://www.wikidata.org/entity/Q34182035

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Wiring patterns in the mouse retina: collecting evidence across the connectome, physiology and light microscopy Towards the automatic classification of neurons Neuronal cell types and connectivity: lessons from the retina A system for studying mechanisms of neuromuscular junction development and maintenance Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty.A Cre Mouse Line for Probing Irradiance- and Direction-Encoding Retinal Networks Roles of ON cone bipolar cell subtypes in temporal coding in the mouse retina Broad thorny ganglion cells: a candidate for visual pursuit error signaling in the primate retina.Alternative splicing of the LIM-homeodomain transcription factor Isl1 in the mouse retina.Synapse Loss and Dendrite Remodeling in a Mouse Model of Glaucoma.The functional diversity of retinal ganglion cells in the mouse.Cardinal Orientation Selectivity Is Represented by Two Distinct Ganglion Cell Types in Mouse Retina.Quantitative neuroanatomy for connectomics in Drosophila Quantitative measurement of retinal ganglion cell populations via histology-based random forest classification.Two Pairs of ON and OFF Retinal Ganglion Cells Are Defined by Intersectional Patterns of Transcription Factor Expression NBLAST: Rapid, Sensitive Comparison of Neuronal Structure and Construction of Neuron Family Databases.Three Small-Receptive-Field Ganglion Cells in the Mouse Retina Are Distinctly Tuned to Size, Speed, and Object Motion.LRIT3 Differentially Affects Connectivity and Synaptic Transmission of Cones to ON- and OFF-Bipolar Cells.Retinal bipolar cells: elementary building blocks of vision.Metrics for comparing neuronal tree shapes based on persistent homology.Who's lost first? Susceptibility of retinal ganglion cell types in experimental glaucoma.Quantitative assessment of computational models for retinotopic map formation Automated computation of arbor densities: a step toward identifying neuronal cell types Four alpha ganglion cell types in mouse retina: Function, structure, and molecular signatures.Ipsilateral and Contralateral Retinal Ganglion Cells Express Distinct Genes during Decussation at the Optic Chiasm.Editorial: Quantitative Analysis of Neuroanatomy.The Transcription Factor Prdm16 Marks a Single Retinal Ganglion Cell Subtype in the Mouse Retina.Molecular codes for cell type specification in Brn3 retinal ganglion cells.Distribution and diversity of intrinsically photosensitive retinal ganglion cells in tree shrew.Cell type-specific changes in retinal ganglion cell function induced by rod death and cone reorganization in rats.Electrical synapses convey orientation selectivity in the mouse retina.A very large-scale microelectrode array for cellular-resolution electrophysiology.Electron Microscopic Reconstruction of Functionally Identified Cells in a Neural Integrator.Single-Cell Dissociation and Characterization in the Murine Retina and Optic Nerve.The M5 Cell: A Color-Opponent Intrinsically Photosensitive Retinal Ganglion Cell.Circuit Mechanisms of a Retinal Ganglion Cell with Stimulus-Dependent Response Latency and Activation Beyond Its Dendrites.Convergence and Divergence of CRH Amacrine Cells in Mouse Retinal Circuitry.Minimizing activation of overlying axons with epiretinal stimulation: The role of fiber orientation and electrode configuration.Retinal Ganglion Cell Diversity and Subtype Specification from Human Pluripotent Stem Cells.

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P2860

A genetic and computational approach to structurally classify neuronal types.

http://www.wikidata.org/entity/Q34182035

description

2014 nî lūn-bûn

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2014 թուականի Մարտին հրատարակուած գիտական յօդուած

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2014 թվականի մարտին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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name

A genetic and computational approach to structurally classify neuronal types.

@ast

A genetic and computational approach to structurally classify neuronal types.

@en

A genetic and computational approach to structurally classify neuronal types.

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type

label

A genetic and computational approach to structurally classify neuronal types.

@ast

A genetic and computational approach to structurally classify neuronal types.

@en

A genetic and computational approach to structurally classify neuronal types.

@nl

prefLabel

A genetic and computational approach to structurally classify neuronal types.

@ast

A genetic and computational approach to structurally classify neuronal types.

@en

A genetic and computational approach to structurally classify neuronal types.

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Nature Communications

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A genetic and computational approach to structurally classify neuronal types.

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H Sebastian Seung

http://www.w3.org/2001/XMLSchema#string

Joshua R Sanes

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Kyle McCulloch

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Michael Becker

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Richard H Masland

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Sen Song

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A note on two problems in connexion with graphs

Melanopsin-containing retinal ganglion cells: architecture, projections, and intrinsic photosensitivity

Phototransduction by retinal ganglion cells that set the circadian clock

Imaging neuronal subsets in transgenic mice expressing multiple spectral variants of GFP

A gene expression atlas of the central nervous system based on bacterial artificial chromosomes

Gradient-based learning applied to document recognition

Identification of retinal ganglion cells and their projections involved in central transmission of information about upward and downward image motion.

Simple Neurite Tracer: open source software for reconstruction, visualization and analysis of neuronal processes.

Cadherin-6 mediates axon-target matching in a non-image-forming visual circuit.

The neuronal organization of the retina.

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