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...
Saved in:
Main Authors: | Tielin Zhang, Yi Zeng, Yue Zhang, Xinhe Zhang, Mengting Shi, Likai Tang, Duzhen Zhang, Bo Xu |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/06bc5fac959a45db8b2f52b6c7036566 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network
by: Muhammad Fayaz, et al.
Published: (2021) -
Graphite Classification Based on Improved Convolution Neural Network
by: Guangjun Liu, et al.
Published: (2021) -
Comparing recurrent convolutional neural networks for large scale bird species classification
by: Gaurav Gupta, et al.
Published: (2021) -
Review of Image Classification Algorithms Based on Convolutional Neural Networks
by: Leiyu Chen, et al.
Published: (2021) -
Environmental sound classification using temporal-frequency attention based convolutional neural network
by: Wenjie Mu, et al.
Published: (2021)