Overview

Neuromorphic computing studies algorithms and physical systems that compute through neuron-like dynamics, spikes, sparse events, and sometimes sensing integrated with processing. Common approaches include spiking neural networks trained with surrogate gradients or converted from conventional networks, local learning such as spike-timing-dependent plasticity, reservoir computing, and specialized CMOS, FPGA, memristor, photonic, or analog hardware. These systems are tested on event-camera vision, speech, time-series, robotics, and edge sensing, with benchmarks such as DVS Gesture, N-MNIST, SHD, and CIFAR variants. The central challenge is turning sparse activity and device-level efficiency into reliable end-to-end gains without sacrificing accuracy, scalability, or fair comparison with conventional hardware.

Latest papers

CardsList

192 papers15 papers in the last four weeks, down 25% on the four weeks before. 0.1% of all new papers.

  1. 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

  2. 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

  3. Rapid tracking through strongly scattering media with physics-informed neuromorphic speckle analysis

    Apr 28, 2026Yuqing Cao, Shuo Zhu, Rongzhou Chen +3Event-Based VisionNeuromorphic Computing

  4. 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

  5. Neuromorphic Computing Based on Parametrically-Driven Oscillators and Frequency Combs

    Apr 23, 2026Mahadev Sunil Kumar, Adarsh GanesanDynamical SystemsReservoir Computing

  6. On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

    Apr 23, 2026Rishona Daniels, Duna Wattad, Ronny Ronen +2Reservoir ComputingNeuromorphic Computing

  7. Scalable Memristive-Friendly Reservoir Computing for Time Series Classification

    Apr 21, 2026Coşku Can Horuz, Andrea Ceni, Claudio Gallicchio +1Dynamic Neural NetworksEnergy-Efficient ML

  8. Fully Analog Resonant Recurrent Neural Network via Metacircuit

    Apr 19, 2026Zixin Zhou, Tianxi Jiang, Menglong Yang +3Efficient Neural Network InferenceTime Series Classification

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

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

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

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

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

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

  12. Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization

    Apr 14, 2026Samrendra Roy, Kazuma Kobayashi, Souvik Chakraborty +2Spiking Neural NetworksCatastrophic Forgetting

  13. Neuromorphic Continual Learning for Sequential Deployment of Nuclear Plant Monitoring Systems

    Apr 13, 2026Samrendra Roy, Sajedul Talukder, Syed Bahauddin AlamIndustrial Control System SecurityIndustrial Anomaly Detection

  14. SCNO: Spiking Compositional Neural Operator -- Towards a Neuromorphic Foundation Model for Nuclear PDE Solving

    Apr 13, 2026Samrendra Roy, Souvik Chakraborty, Rizwan-uddin +1PDE SolvingPDE Surrogate Modeling

  15. Towards Green Wearable Computing: A Physics-Aware Spiking Neural Network for Energy-Efficient IMU-based Human Activity Recognition

    Apr 12, 2026Naichuan Zheng, Hailun Xia, Zepeng Sun +2Spiking Neural NetworksHuman Activity Recognition

  16. Full Feature Spiking Neural Network Simulation on Micro-Controllers for Neuromorphic Applications at the Edge

    Apr 11, 2026L. Niedermeier, J. L. KrichmarNeuromorphic ComputingSpiking Neural Networks

  17. Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing

    Apr 10, 2026Stefan Fischer, Nihat Ay, Olaf Landsiedel +4Neuromorphic ComputingCompute-in-Memory

  18. A 0.5-V Linear Neuromorphic Voltage-to-Spike Encoder Using a Bulk-Driven Transconductor

    Apr 10, 2026Meysam Akbari, Erika Covi, Kea-Tiong TangLIF NeuronsSpike-Based Signal Encoding

  19. Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data

    Apr 10, 2026Stephen Smith, Cormac Purcell, Gabriele Meoni +2Anomaly DetectionPhysics-Informed ML

  20. Memory Wall is not gone: A Critical Outlook on Memory Architecture in Digital Neuromorphic Computing

    Apr 9, 2026Amirreza Yousefzadeh, Sameed Sohail, Ana Lucia VarbanescuNeuromorphic Computing

  21. Energy-Based Dynamical Models for Neurocomputation, Learning, and Optimization

    Apr 6, 2026Arthur N. Montanari, Francesco Bullo, Dmitry Krotov +1Energy-Based ModelsNeural Network Optimization

  22. Neuromorphic Computing for Low-Power Artificial Intelligence

    Apr 6, 2026Keshava Katti, Pratik Chaudhari, Deep JariwalaAnalog ComputingNeuromorphic Computing

  23. Efficient Onboard Spacecraft Pose Estimation with Event Cameras and Neuromorphic Hardware

    Apr 5, 2026Arunkumar Rathinam, Jules Lecomte, Jost Reelsen +3Spacecraft Pose EstimationRelative Pose Estimation

  24. YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap

    Apr 3, 2026Brian Pachideh, Sven Nitzsche, Moritz Neher +5Neuromorphic ComputingSpiking Neural Networks

  25. Biologically Realistic Dynamics for Nonlinear Classification in CMOS+X Neurons

    Apr 3, 2026Steven Louis, Hannah Bradley, Artem Litvinenko +3Spiking Neural NetworksNeuromorphic Computing

  26. Computing with Living Neurons: Chaos-Controlled Reservoir Computing with Knowledge Transplant

    Apr 2, 2026Seung Hyun Kim, Zhi Dou, Gaurav Upadhyay +6Reservoir ComputingNeuromorphic Computing

  27. Oscillator-Based Associative Memory with Exponential Capacity: Theory, Algorithms, and Hardware Implementation

    Apr 1, 2026Arie Ogranovich, Taosha Guo, Arvind R. Venkatakrishnan +3Kuramoto ModelAssociative Memory