Author

Ze-Qi Zheng

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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. · Neural Networks · 0 citations

Preprint Aug 2026

Rethinking Attention Locality in Spiking Transformers

This work proposes Spatially Contiguous Local Attention with Boundary Continuity Pathway (SCLA-BCP), which computes attention within non-overlapping regions of spatially adjacent tokens, while BCP facilitates cross-boundary information exchange through a lightweight convolutional pathway.

Zeqi Zheng, Zizheng Zhu, Yuping Yan 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. · Neural Networks · 0 citations