{"total":16,"rows":[{"id":"2503.00226","title":"Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer","created":"2025-02-28","cited_by_count":13,"area":null},{"id":"2503.08703","title":"SDTrack: A Baseline for Event-based Tracking via Spiking Neural Networks","created":"2025-03-09","cited_by_count":12,"area":null},{"id":"2507.14069","title":"Edge Intelligence with Spiking Neural Networks","created":"2025-07-18","cited_by_count":2,"area":null},{"id":"2508.07710","title":"Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformer","created":"2025-08-11","cited_by_count":2,"area":null},{"id":"2509.17186","title":"Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling","created":"2025-09-21","cited_by_count":2,"area":null},{"id":"2603.19290","title":"Neural Dynamics Self-Attention for Spiking Transformers","created":"2026-03-09","cited_by_count":2,"area":null},{"id":"2512.22214","title":"Signal-SGN++: Topology-Enhanced Time-Frequency Spiking Graph Network for Skeleton-Based Action Recognition","created":"2025-12-22","cited_by_count":1,"area":null},{"id":"2602.08817","title":"Kirin: Improving ANN efficiency with SNN Hybridization","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2508.01992","title":"Toward Efficient Spiking Transformers: Synapse Pruning Meets Synergistic Learning-Based Compensation","created":"2025-08-04","cited_by_count":0,"area":null},{"id":"2511.14691","title":"Attention via Synaptic Plasticity is All You Need: A Biologically Inspired Spiking Neuromorphic Transformer","created":"2025-11-18","cited_by_count":0,"area":null},{"id":"2602.20548","title":"Robust Spiking Neural Networks Against Adversarial Attacks","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2603.11676","title":"Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2604.08894","title":"Ge$^\\text{2}$mS-T: Multi-Dimensional Grouping for Ultra-High Energy Efficiency in Spiking Transformer","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2606.13016","title":"Otters++: A Time-to-first-spike Based Energy Efficient Optical Spiking Transformer","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2608.13702","title":"SAGE: Surrogate-gradient Adaptation via Attention-Guided Entropy for Spiking Transformers","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2608.19238","title":"Spiking Local Interaction and Adaptive Complementary Fusion for Spiking Transformer","created":"2026-08-11","cited_by_count":0,"area":null}],"next_cursor":null}