DeepBouton: Automated Identification of Single-Neuron Axonal Boutons at the Brain-Wide Scale
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
DeepBouton: Automated Identification of Single-Neuron Axonal Boutons at the Brain-Wide Scale
Authors
Keywords
-
Journal
Frontiers in Neuroinformatics
Volume 13, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2019-04-24
DOI
10.3389/fninf.2019.00025
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- FluoEM, virtual labeling of axons in three-dimensional electron microscopy data for long-range connectomics
- (2018) Florian Drawitsch et al. eLife
- Automated synaptic connectivity inference for volume electron microscopy
- (2017) Sven Dorkenwald et al. NATURE METHODS
- Computer assisted detection of axonal bouton structural plasticity in in vivo time-lapse images
- (2017) Rohan Gala et al. eLife
- Embedding and Chemical Reactivation of Green Fluorescent Protein in the Whole Mouse Brain for Optical Micro-Imaging
- (2017) Yadong Gang et al. Frontiers in Neuroscience
- Detection of axonal synapses in 3D two-photon images
- (2017) Cher Bass et al. PLoS One
- Large-scale localization of touching somas from 3D images using density-peak clustering
- (2016) Shenghua Cheng et al. BMC BIOINFORMATICS
- High-throughput dual-colour precision imaging for brain-wide connectome with cytoarchitectonic landmarks at the cellular level
- (2016) Hui Gong et al. Nature Communications
- A platform for brain-wide imaging and reconstruction of individual neurons
- (2016) Michael N Economo et al. eLife
- Reconstruction and Simulation of Neocortical Microcircuitry
- (2015) Henry Markram et al. CELL
- Deep learning
- (2015) Yann LeCun et al. NATURE
- EPBscore: a Novel Method for Computer-Assisted Analysis of Axonal Structure and Dynamics
- (2015) S. Song et al. NEUROINFORMATICS
- BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images
- (2015) Hanchuan Peng et al. NEURON
- Rapid imaging of large tissues using high-resolution stage-scanning microscopy
- (2015) Tao Yang et al. Biomedical Optics Express
- Toward a Genetic Dissection of Cortical Circuits in the Mouse
- (2014) Z. Josh Huang NEURON
- Clustering by fast search and find of density peaks
- (2014) A. Rodriguez et al. SCIENCE
- Chemical reactivation of quenched fluorescent protein molecules enables resin-embedded fluorescence microimaging
- (2014) Hanqing Xiong et al. Nature Communications
- Mapping brain circuitry with a light microscope
- (2013) Pavel Osten et al. NATURE METHODS
- Increased axonal bouton dynamics in the aging mouse cortex
- (2013) F. W. Grillo et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Computational methods and challenges for large-scale circuit mapping
- (2012) Moritz Helmstaedter et al. CURRENT OPINION IN NEUROBIOLOGY
- Neuromantic – from Semi-Manual to Semi-Automatic Reconstruction of Neuron Morphology
- (2012) Darren R. Myatt et al. Frontiers in Neuroinformatics
- Automated Detection and Segmentation of Synaptic Contacts in Nearly Isotropic Serial Electron Microscopy Images
- (2011) Anna Kreshuk et al. PLoS One
- The Big and the Small: Challenges of Imaging the Brain's Circuits
- (2011) J. W. Lichtman et al. SCIENCE
- Automated reconstruction of neuronal morphology: An overview
- (2010) Duncan E. Donohue et al. BRAIN RESEARCH REVIEWS
- Establishing a Novel Modeling Tool: A Python-based Interface for a Neuromorphic Hardware System
- (2009) Daniel Bruederle Frontiers in Neuroinformatics
- Genetically-Directed, Cell Type-Specific Sparse Labeling for the Analysis of Neuronal Morphology
- (2008) Thomas Rotolo et al. PLoS One
- Brian: a simulator for spiking neural networks in Python
- (2008) Dan Goodman Frontiers in Neuroinformatics
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started