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arXiv · 2609.27564

TNLearn: An Open Source Python Package for Task-based Neurons

Meng Wang·Tieyun Li·Juntong Fan·Hanyu Pei·Jing-Xiao Liao·Yaodong Yang·Jianwei Ma·Fenglei Fan
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Abstract

The brain does not rely on a single type of neuron to perform all kinds of tasks; instead, it designs different neurons for different tasks. The concept of task-based neurons represents a paradigm shift compared to task-based architectures. It argues that solving a specific problem requires customized neurons, as task-based neurons capture useful prior knowledge from task-related data. To facilitate the use of task-based neurons in scientific research and industrial applications, we introduce TNLearn, an open-source Python package that provides automated construction of task-based neurons and networks, enabling smooth training of task-based networks. Comprehensive documentation, including technical exposition, API reference, and representative examples, is available online. TNLearn is open-sourced at https://github.com/NewT123-WM/tnlearn and has become a PyTorch ecosystem project.

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Meng Wang, Tieyun Li, Juntong Fan, Hanyu Pei, Jing-Xiao Liao, Yaodong Yang, Jianwei Ma, Fenglei Fan. 2026-09-23. TNLearn: An Open Source Python Package for Task-based Neurons. https://arxiv.org/abs/2609.27564

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