Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks

no code implementations • 23 Jan 2023 • Feng-Lei Fan, Yingxin Li, Hanchuan Peng, Tieyong Zeng, Fei Wang

In the human brain, neuronal diversity is an enabling factor for all kinds of biological intelligent behaviors.

Single Neuron Segmentation using Graph-based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images

no code implementations • 22 Jan 2021 • Heng Wang, Yang song, Chaoyi Zhang, Jianhui Yu, SiQi Liu, Hanchuan Peng, Weidong Cai

One of the critical steps in improving accurate single neuron reconstruction from three-dimensional (3D) optical microscope images is the neuronal structure segmentation.

Segmentation

TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain

1 code implementation • Nature Communicationsvolume 10, Article number: 3474 (2019) 2019 • Yimin Wang, Qi Li, Li-Juan Liu, Zhi Zhou, Zongcai Ruan, Lingsheng Kong, Yaoyao Li, Yun Wang, Ning Zhong, Renjie Chai, Xiangfeng Luo, Yike Guo, Michael Hawrylycz, Qingming Luo, Zhongze Gu, Wei Xie, Hongkui Zeng, Hanchuan Peng

Neuron morphology is recognized as a key determinant of cell type, yet the quantitative profiling of a mammalian neuron’s complete three-dimensional (3-D) morphology remains arduous when the neuron has complex arborization and long projection.

Electron Microscopy Image Segmentation Image Reconstruction

Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

1 code implementation • IEEE 2005 • Hanchuan Peng, Fuhui Long, C. Ding

We study how to select good features according to the maximal statistical dependency criterion based on mutual information.

Classification feature selection