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An evolutionary developmental approach for generation of 3D neuronal morphologies using gene regulatory networks

  • Published:2018-01 Issue: Volume:273 Page:346-356
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Lin Xianghong,Li Zhiqiang,Ma Huifang,Wang Xiangwen

Funder

National Natural Science Foundation of China

Natural Science Foundation of Gansu Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stability Analysis of Breast Cancer Gene Regulation Network based on Boolean Network Model;2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE);2022-08

2. Machine learning accelerates the technological development of brain science;Journal of Physics: Conference Series;2021-06-01

3. A Neuronal Morphology Classification Approach Based on Locally Cumulative Connected Deep Neural Networks;Applied Sciences;2019-09-16

4. A 3D Neuronal Morphology Classification Approach Based on Convolutional Neural Networks;2018 11th International Symposium on Computational Intelligence and Design (ISCID);2018-12

5. A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks;Neural Information Processing;2018
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