Spiking Neural Networks

Also known as SNN

Momentum

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

All topics
CardsList
  1. Spiking and Event-driven Neuromorphic Mamba Models for Efficient Speech Recognition

    May 31, 2026Tauseef Ahmed, Tao Sun, Jeronimo Castrillon +2Efficient Neural Network InferenceMamba

  2. Memristor-Based Spiking Neural Network Accelerator for Bio-inspired Interception Task

    May 29, 2026Qianhou Qu, Sheng Lu, Liuting Shang +4Efficient Neural Network InferenceCompute-in-Memory

  3. A2SG:Adaptive and Asymmetric Surrogate Gradients for Training Deep Spiking Neural Networks

    May 29, 2026Yechan Kang, Yongjin Kweon, Mingyeong Seo +8Neural Network OptimizationSpiking Neural Networks

  4. SpikeWFM: Spiking-Aided Wireless Foundation Model for Robust Channel Prediction

    May 28, 2026Liwen Jing, Yisha Lu, Tingting Yang +5Wireless Foundation ModelsWireless Communications

  5. CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras

    May 27, 2026Elvin Hajizada, Michael Neumeier, Edward Paxon Frady +4Event-Based VisionContinual Learning

  6. Neuromorphic LiDAR-based Bird's Eye View Object Detection using Energy-efficient Spiking Neural Networks

    May 24, 2026Sambit Mohapatra, Senthil Yogamani, Heinrich Gotzig +1Lidar-Based 3D Object DetectionAutonomous Driving Perception

  7. SpikeReg: Energy-Efficient 3D Deformable Medical Image Registration with Spiking Neural Networks

    May 24, 2026Ali Mikaeili Barzili, Behzad Moshiri, Hamid Azadegan +1U-NetMedical Image Registration

  8. SpikingMoE: SDPrompt-Guided Dynamic Expert Fusion in Spiking Neural Networks

    May 22, 2026Yukai Yang, Chenxi Qin, Jungang Li +3Spiking TransformersDynamic Neural Networks

  9. Rare Events, Real Signals: Functional Ensembles as Units of Computation in Deep Spiking Networks

    May 21, 2026Aditi Aravind, Konstantinos Ladakis, Mario Alexios Savaglio +2Functional ConnectivityNeural Network Interpretability

  10. ELSA: An ELastic SNN Inference Architecture for Efficient Neuromorphic Computing

    May 20, 2026Kang You, Chen Nie, Lee Jun Yan +6Efficient Neural Network InferenceSpiking Neural Networks

  11. Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation

    May 20, 2026Mohamed Khair Altrabulsi, Nouhaila Innan, Alberto Marchisio +2Robot NavigationRobotic RL

  12. E-ReCON: An Energy- and Resource-Efficient Precision-Configurable Sparse nvCIM Macro for Conventional and Spiking Neural Edge Inference

    May 20, 2026Ankit Kumar Tenwar, Mukul Lokhande, Santosh Kumar VishvakarmaCompute-in-MemoryEdge Inference

  13. Plug-and-Play Spiking Operators: Breaking the Nonlinearity Bottleneck in Spiking Transformers

    May 19, 2026Xinzhe Yuan, Xiang Peng, Bin Gu +1Spiking TransformersSpiking Neural Networks

  14. Neuromorphic Control of a Flapping-Wing Robot on Resource-Constrained Hardware

    May 19, 2026Rim El Filali, Chenrui Feng, Chao Gao +1Efficient Neural Network InferenceAerial Robotics

  15. Reinterpreting Safety Thresholds as Neuron Spiking Thresholds

    May 18, 2026Enrico Del Re, Mohamed Sabry, Cristina Olaverri-MonrealAutonomous Driving Safety EvaluationAutonomous Driving

  16. QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting

    May 18, 2026Alberto Marchisio, Aayan Ebrahim, Nouhaila Innan +2Multivariate Time Series ForecastingHybrid Quantum-Classical ML

  17. Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks

    May 18, 2026Alessio Caviglia, Filippo Marostica, Alessandro Savino +1On-Device TrainingEnergy-Efficient ML

  18. Brain-inspired spike-timing plasticity for reliable label-efficient event-camera vision

    May 17, 2026Mohamad Yazan Sadoun, Sarah Sharif, Yaser Mike BanadEvent-Based VisionSpiking Neural Networks

  19. Scalable neuromorphic computing from autonomous spiking dynamics in a clockless reconfigurable chip

    May 15, 2026Eric Oliveira Gomes, Damien RontaniEnergy-Efficient MLSpiking Neural Networks

  20. XOResNet: Exclusive-OR Meta-Residuals Facilitate Deep Spiking Neural Networks Learning

    May 15, 2026Jianfang Wu, Junsong WangResidual LearningSpiking Neural Networks

  21. Federated Learning of Spiking Neural Networks under Heterogeneous Temporal Resolutions

    May 14, 2026Sanja Karilanova, Subhrakanti Dey, Ayça ÖzçelikkaleSpiking Neural NetworksFederated Learning

  22. NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework

    May 14, 2026Alessio Caviglia, Filippo Marostica, Roberta Bardini +2Spiking Neural NetworksLocal Learning

  23. Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients

    May 14, 2026Feifan Zhou, Xiang Wei, Yang Liu +1Spiking Neural NetworksNeural Network Training Dynamics

  24. Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks

    May 14, 2026Kai Sun, Peibo Duan, Yongsheng Huang +4Selective Knowledge DistillationSpiking Neural Networks

  25. FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping

    May 13, 2026Jongmin Choi, Joon Son ChungNeural Network InterpretabilitySpiking Neural Networks