Meet the authors: Hanchuan Peng, Peng Xie, and Feng Xiong

Hanchuan Peng; Peng Xie; Feng Xiong

doi:10.1016/j.patter.2023.100912

Meet the authors: Hanchuan Peng, Peng Xie, and Feng Xiong

Patterns (N Y). 2024 Jan 12;5(1):100912. doi: 10.1016/j.patter.2023.100912.

Authors

Hanchuan Peng¹, Peng Xie¹, Feng Xiong¹

Affiliation

¹ SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu 210096, China.

Abstract

In a recent paper at Patterns, Hanchuan Peng, Peng Xie, and Feng Xiong from Southeast University describe a deep learning method to characterize complete single-neuron morphologies, which can discover neuron projection patterns of diverse cells and learn neuronal morphology representation. In this interview, the authors shared the story behind the paper and their research experience. This interview is a companion to these authors' recent paper, "DSM: Deep sequential model for complete neuronal morphology representation and feature extraction."¹.

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