DeepBouton: Automated Identification of Single-Neuron Axonal Boutons at the Brain-Wide Scale-Reference-Cited by-同舟云学术

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DeepBouton: Automated Identification of Single-Neuron Axonal Boutons at the Brain-Wide Scale

Published:2019-04-18 Issue: Volume:13 Page:
ISSN:1662-5196
Container-title:Frontiers in Neuroinformatics
language:
Short-container-title:Front. Neuroinform.

Author:

Cheng Shenghua,Wang Xiaojun,Liu Yurong,Su Lei,Quan Tingwei,Li Ning,Yin Fangfang,Xiong Feng,Liu Xiaomao,Luo Qingming,Gong Hui,Zeng Shaoqun

Publisher

Frontiers Media SA

Subject

Computer Science Applications,Biomedical Engineering,Neuroscience (miscellaneous)

Reference41 articles.

1. The connection from cortical area V1 to V5: a light and electron microscopic study;Anderson;J. Neurosci.,1998

2. Detection of axonal synapses in 3d two-photon images;Bass;PLoS ONE,2017

3. Cortex: Statistics and Geometry of Neuronal Connectivity

4. Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system;Brüderle;Front. Neuroinform.,2009

5. Large-scale localization of touching somas from 3D images using density-peak clustering;Cheng;BMC Bioinformatics,2016

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5. BoutonNet: an automatic method to detect anterogradely labeled presynaptic boutons in brain tissue sections;Brain Structure and Function;2022-06-01

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