Spiking Neural Networks

Also known as SNN

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30 papers in the last four weeks, up 650% on the four weeks before. 0.3% of all new papers.

Jul 13Week of Sep 28

Latest papers 206

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  1. Neuromorphic Graph Anomaly Detection via Adaptive STDP and Spiking Graph Neural Networks

    Apr 29, 2026Abdul Joseph Fofanah, Lian Wen, David Chen +2Graph Neural NetworksSpiking Neural Networks

  2. Vision SmolMamba: Spike-Guided Token Pruning for Energy-Efficient Spiking State-Space Vision Models

    Apr 28, 2026Dewei Bai, Hongxiang Peng, Yunyun Zeng +3Efficient Neural Network InferenceVisual SSMs

  3. Generalization Bounds of Spiking Neural Networks via Rademacher Complexity

    Apr 26, 2026Shao-Qun Zhang, Zhi-Hua ZhouSpiking Neural NetworksStatistical Learning Theory

  4. A Multiplication-Free Spike-Time Learning Algorithm and its Efficient FPGA Implementation for On-Chip SNN Training

    Apr 25, 2026Maryam Mirsadeghi, Mojtaba Mirbagheri, Saeed Reza KheradpishehSpiking Neural NetworksEdge ML

  5. BSViT: A Burst Spiking Vision Transformer for Expressive and Efficient Visual Representation Learning

    Apr 25, 2026Hongxiang Peng, Dewei Bai, Hong QuSpiking TransformersEfficient ViTs

  6. SpikingBrain2.0: Brain-Inspired Foundation Models for Efficient Long-Context and Cross-Platform Inference

    Apr 24, 2026Yuqi Pan, Jinghao Zhuang, Yupeng Feng +16Long-Context Language Model InferenceSpiking Neural Networks

  7. When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano

    Apr 18, 2026Jason Yoo, Shailesh Garg, Souvik Chakraborty +1Efficient Neural Network InferenceActivation Sparsity

  8. Neuroscience Inspired Graph Operators Towards Edge-Deployable Virtual Sensing for Irregular Geometries

    Apr 17, 2026William Howes, Farid Ahmed, Kazuma Kobayashi +2Edge ComputingSpiking Neural Networks

  9. Combining Convolution and Delay Learning in Recurrent Spiking Neural Networks

    Apr 17, 2026Lúcio Folly Sanches Zebendo, Eleonora Cicciarella, Michele RossiConvolutional RNNsEfficient Neural Network Inference

  10. Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension

    Apr 17, 2026Dongxin Guo, Jikun Wu, Siu Ming YiuSpiking TransformersTransformer Attention

  11. Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks

    Apr 17, 2026Hyeongmeen Baik, Hamed Poursiami, Maryam Parsa +1Parameter EstimationPredictive Maintenance

  12. Latency Coding for Efficient and Low-Latency Deep Spiking Neural Networks

    Mar 24, 2026Yi Lu, Jianhao Ding, Zhaofei YuEfficient Neural Network InferenceSpiking Neural Networks

  13. Building Supervision into Hebbian Plasticity through Spike Agreement

    Jan 13, 2026Gouri Lakshmi S, Athira Chandrasekharan, Harshit Kumar +3Hebbian LearningSpiking Neural Networks

  14. ADSEQ: A delay-aware autograd-compatible framework for spike-event delivery in SNNs

    Dec 5, 2025Lennart P. L. Landsmeer, Amirreza Movahedin, Said Hamdioui +1Automatic DifferentiationSpiking Neural Networks

  15. NeuroFlex: Lossless Element-Level ANN-SNN Co-Execution for Efficient Sparse Inference

    Nov 7, 2025Varun Manjunath, Pranav Ramesh, Gopalakrishnan SrinivasanEfficient Neural Network InferenceSpiking Neural Networks

  16. Quantifying How Training Gradient Sparsity Affect Spiking Neural Network Accuracy And Robustness

    Sep 28, 2025Nhan Trong Luu, Duong Trung LuuNeural Network GeneralizationNeural Network Robustness

  17. Adaptive Time-step Training for Enhancing Spike-Based Neural Radiance Fields

    Jul 30, 2025Ranxi Lin, Canming Yao, Jiayi Li +3Efficient Neural Network InferenceNeural Rendering

  18. Efficient Memristive Spiking Neural Networks Architecture with Supervised In-Situ STDP Method

    Jul 28, 2025Santlal Prajapati, Susmita Sur-Kolay, Soumyadeep DuttaEfficient Neural Network InferenceSpiking Neural Networks

  19. Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning

    Jun 26, 2025Jiechen Chen, Bipin Rajendran, Osvaldo SimeoneQuantum Machine LearningSpiking Neural Networks

  20. Sigma-Delta Neural Network Conversion on Loihi 2

    May 9, 2025Matthew Brehove, Sadia Anjum Tumpa, Espoir Kyubwa +2Efficient Neural Network InferenceSpiking Neural Networks

  21. A Gradient-based yet Spike-Timing-Dependent Solution to the Feedback Learning Problem in Neural Microcircuits

    Date pendingXiangnan Zhang, Jingxin Liu, Ranqi Lu +6Neural ProcessesTemporal Credit Assignment