Spiking Neural Networks

Also known as SNN

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Overview

Spiking neural networks study computation with neurons that integrate inputs over time and communicate through spikes, making them a natural fit for event-based data such as vision, audio, and sensor streams. Common approaches include training with surrogate gradients and backpropagation through time, local plasticity rules such as spike-timing-dependent plasticity, and converting conventional neural networks into spiking ones; researchers also design new neuron dynamics, temporal codes, and spiking attention or state-space models. Applications range from edge sensing and robotics to language, medical imaging, and scientific computing, with implementations on neuromorphic chips, FPGAs, and conventional hardware. A central tension is whether sparse activity yields real energy and latency savings without sacrificing accuracy: results depend on the task, encoding, time steps, and hardware, so deployment-aware benchmarks remain important.

Latest papers

CardsList

358 papers49 papers in the last four weeks, up 40% on the four weeks before. 0.3% of all new papers.

  1. Neuromorphic visual attention for Sign-language recognition on SpiNNaker

    May 7, 2026Sarka Liskova, Olha Vedmedenko, Mazdak Fatahi +3Event-Based VisionVisual Attention

    Dept. of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic · Faculty of Information Technology, Czech Technical University in Prague, Czech Republic

  2. Detecting AI-Generated Videos with Spiking Neural Networks

    May 7, 2026Minsuk Jang, Yujin Yang, Heeseon Kim +3Deepfake DetectionSpiking Neural Networks

    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea

  3. Bio-plausible Neuromorphic Disturbance Observer Based on Emulation Theory: Extended Version

    May 5, 2026Hongfu Xu, Xiaoyu Guo, Shengbo Wang +1Feedback ControlAdaptive Control

    School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China · Department of Mechanical Engineering, City University of Hong Kong, Hong Kong · Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong +1

  4. Elastic Spiking Transformers for Efficient Gesture Understanding

    May 4, 2026Alberto Ancilotto, Gianluca Amprimo, Stefano Di Carlo +1Efficient Neural Network InferenceSpiking Transformers

    Fondazione Bruno Kessler · Politecnico di Torino

  5. SNNF: An SNN-based Near-Sensor Noise Filter for Dynamic Vision Sensors

    May 3, 2026Yahan Yang, Pradeep Kumar Gopalakrishnan, Chang Chip Hong +1Event-Based VisionEfficient Neural Network Inference

  6. ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization

    May 3, 2026Kaiwen Tang, Di Yu, Jiaqi Zheng +4Spiking Neural NetworksNeural Network Quantization

    Zhejiang University · Shandong University

  7. From Cortical Synchronous Rhythm to Brain Inspired Learning Mechanism: An Oscillatory Spiking Neural Network with Time-Delayed Coordination

    May 3, 2026Tingting Dan, Guorong WuOscillatory Neural NetworksSpiking Neural Networks

    Advanced Computational Medicine Laboratory (ACMLab) · Department of Psychiatry & Department of Computer Science

  8. Congestion-Aware Dynamic Axonal Delay for Spiking Neural Networks

    May 2, 2026Dewei Bai, Hongxiang Peng, Yunyun Zeng +2Dynamic Neural NetworksSpiking Neural Networks

    University of Electronic Science and Technology of China

  9. Spiking Sequence Machines and Transformers

    May 1, 2026Joy BoseTransformer AttentionSpiking Neural Networks

    Independent Researcher Bengaluru, India

  10. Scalable Learning in Structured Recurrent Spiking Neural Networks without Backpropagation

    May 1, 2026Bo Tang, Weiwei XieRecurrent Neural NetworksSpiking Neural Networks

    Department of Electrical and Computer Engineering Worcester Polytechnic Institute Worcester, USA

  11. Real-Time Frame- and Event-based Object Detection with Spiking Neural Networks on Edge Neuromorphic Hardware: Design, Deployment and Benchmark

    Apr 30, 2026Udayanga G. W. K. N. Gamage, Yan Zeng, Cesar Cadena +2Edge InferenceSpiking Neural Networks

    Department of Electrical and Photonics Engineering, Technical University of Denmark, Anker Engelunds Vej 1, 2800 Kongens Lyngby, Denmark · Faculty of Engineering, University of Ruhuna, Hapugala,Galle 80000, Sri Lanka · Autonomous Systems Lab, ETH zürich, Leonhardstrasse 21, 8092 Zürich, Switzerland

  12. NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures

    Apr 30, 2026Muhammad Ihsan Al Hafiz, Artur PodobasSpiking Neural NetworksNeuromorphic Computing

    KTH Royal Institute of Technology, Stockholm, Sweden

  13. Evolutionary feature selection for spiking neural network pattern classifiers

    Apr 29, 2026Michal Valko, Nuno C. Marques, Marco CastelaniSpiking Neural NetworksFeature Selection

    Department of Applied Informatics, Comenius University, Mlynská Dolina, 842 48 Bratislava, Slovakia · CENTRIA,Departmento de Informatica, Faculdade de Ciencias e Tecnologia, University Nova de Lisboa, Quinta da Torre, 2829-516 Caparica, Portugal · CENTRIA, Faculdade de Ciencias e Tecnologia, University Nova de Lisboa, Quinta da Torre, 2829-516 Caparica, Portugal

  14. Binary Spiking Neural Networks as Causal Models

    Apr 29, 2026Aditya Kar, Emiliano Lorini, Timothée MasquelierStructural Causal ModelsBinary Neural Networks

    CNRS, IRIT · Institut de Recherche en Informatique de Toulouse (IRIT), Centre de Recherche Cerveau et Cognition (CerCo), CNRS, France · Institut de Recherche en Informatique de Toulouse (IRIT), CNRS, France +2

  15. EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures

    Apr 29, 2026Gustav Olaf Yunus Laitinen-Fredriksson Lundstrom-Imanov, Taner YilmazEnergy-Efficient MLEdge Inference

    Department of Economics, Stockholm University, Universitetsvägen 10 A, SE-106 91 Stockholm, Sweden · Department of Computer Engineering, Afyon Kocatepe University, 03200 Afyonkarahisar, Türkiye

  16. 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

    School of ICT, Griffith University, Australia

  17. QB-LIF: Learnable-Scale Quantized Burst Neurons for Efficient SNNs

    Apr 28, 2026Dewei Bai, Hongxiang Peng, Jiajun Mei +4Efficient Neural Network InferenceSpiking Neural Networks

  18. 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

    School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China · College of Computer Science, Sichuan University, Chengdu 610065, China

  19. Generalization Bounds of Spiking Neural Networks via Rademacher Complexity

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

    National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210063, China. · School of Intelligent Science and Technology, Nanjing University, Suzhou 215163, China. · School of Artificial Intelligence, Nanjing University, Nanjing 210063, China.

  20. 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

    Maryam Mirsadeghi, Mojtaba Mirbagheri, Saeed Reza Kheradpisheh

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

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

    School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China

  22. 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

    Institute of Automation, Chinese Academy of Sciences · The Hong Kong Polytechnic University · Beijing Key Laboratory of Brain-Inspired General Intelligence Large Model +1

  23. 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

    University of Illinois Urbana-Champaign Department of Nuclear, Plasma & Radiological Engineering Urbana, IL, USA · Indian Institute of Technology Delhi Department of Applied Mechanics New Delhi, India · National Center for Supercomputing Applications Urbana, IL, USA

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

    Apr 17, 2026William Howes, Farid Ahmed, Kazuma Kobayashi +2Edge ComputingGraph Neural Operators

    Grainger College of Engineering, Nuclear, Plasma & Radiological Engineering Department, University of Illinois Urbana-Champaign, Urbana, IL, USA · Department of Applied Mechanics, Indian Institute of Technology Delhi, New Delhi, India · Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi +1

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

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

    University of Padova, Department of Information Engineering · Department of Mathematics “Tullio Levi Civita” at the University of Padova, Italy

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

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

    *The University of Hong Kong, Hong Kong, China · †Brain Investing Limited, Hong Kong, China

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

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

    University of Wisconsin–Madison Madison, Wisconsin, USA · George Mason University Fairfax, Virginia, USA

  28. Quantization of Spiking Neural Networks Beyond Accuracy

    Apr 15, 2026Evan Gibson Smith, Jacob Whitehill, Fatemeh GanjiNeural Network QuantizationSpiking Neural Networks

    Worcester Polytechnic Institute Worcester, Massachusetts, USA

  29. Neuromorphic Spiking Ring Attractor for Proprioceptive Joint-State Estimation

    Apr 15, 2026Federica Ferrari, Flavia Davidhi, Bernard Maacaron +6Continuous Attractor Neural NetworksRobot State Estimation

    Istituto Italiano di Tecnologia, Genoa, Italy · Department of Neurosurgery, University Hospital Zürich, Switzerland · Institute of Neuroinformatics, Univ. of Zurich and ETH Zurich, Switzerland +3

  30. Modeling of Self-sustained Neuron Population without External Stimulus

    Apr 15, 2026İhsan Ertuğrul Karakaş, Özden Özel, İlkay Ulusoy +1Neural ProcessesSpiking Neural Networks

    Middle East Technical University · Başkent University