Neuron type classification in rat brain based on integrative convolutional and tree-based recurrent neural networks
Abstract The study of cellular complexity in the nervous system based on anatomy has shown more practical and objective advantages in morphology than other perspectives on molecular, physiological, and evolutionary aspects. However, morphology-based neuron type classification in the whole rat brain...
Enregistré dans:
Auteurs principaux: | Tielin Zhang, Yi Zeng, Yue Zhang, Xinhe Zhang, Mengting Shi, Likai Tang, Duzhen Zhang, Bo Xu |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/06bc5fac959a45db8b2f52b6c7036566 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network
par: Muhammad Fayaz, et autres
Publié: (2021) -
Graphite Classification Based on Improved Convolution Neural Network
par: Guangjun Liu, et autres
Publié: (2021) -
Comparing recurrent convolutional neural networks for large scale bird species classification
par: Gaurav Gupta, et autres
Publié: (2021) -
Review of Image Classification Algorithms Based on Convolutional Neural Networks
par: Leiyu Chen, et autres
Publié: (2021) -
Environmental sound classification using temporal-frequency attention based convolutional neural network
par: Wenjie Mu, et autres
Publié: (2021)