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Author

Ying-Chao Yu

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Sep 2026

Learning capacity allocation for stable sequential learning in recurrent spiking neural networks.

IP2-RSNN is introduced, a two-stage framework that allocates intrinsic neuronal plasticity at the task-family level and evaluates its effects during sequential learning, revealing that learning capacity allocation is a principled route towards stable and interpretable sequential learning.

Ying-Chao Yu, Yao-Chu Jin, Kuang-Rong Hao et al. · 0 citations
Jul 2026

Enhancing spiking transformers with temporal feedback coding and global-local dynamic neurons.

This work introduces a Temporal Feedback Coding (TFC) scheme that leverages feedback at the encoding stage to diversify spike patterns and designs a Global-Local Dynamic LIF (GLD-LIF) neuron that enhances cross-step dependency modeling by integrating local aggregation and global initialization.

Zeqi Zheng, Zizheng Zhu, Yingchao Yu et al. · 0 citations

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