Neuromorphic Computing

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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. ChroNoC: A Tableless TDM Circuit-Switched NoC With Delay-Aware Deployment for Time-Sensitive Neuromorphic Computing

    Oct 25, 2026Mohammad Rasoul Roshanshah, Mehdi Modarressi, Saeed SafariNeuromorphic ComputingNeural Network Hardware Acceleration

    The authors are with the School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.

  2. RobustNCL: Robustifying Neuromorphic Continual Learning under Transient Faults with Lightweight Detect-and-Cure Strategy

    Oct 22, 2026Rachmad Vidya Wicaksana Putra, Shuochen Zhou, Muhammad ShafiqueNeuromorphic ComputingNeural Network Robustness

    eBRAIN Lab, New York University (NYU) Abu Dhabi, United Arab Emirates

  3. Robust Representation Learning for Spiking Neural Networks based on Conditional Information Bottleneck

    Oct 20, 2026Yuli Zha, Wang Fan, Yixiao Dai +5Spiking Neural NetworksNeural Network Robustness

    College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, 200433, China · Institute of Big Data, Fudan University, Shanghai, 200433, China

  4. Migrate Computation, Not Data: Fault Recovery in Neuromorphic Many-Core Systems

    Oct 19, 2026Muyang Cao, Di Yu, Peiling Zhu +4Neuromorphic Computing

    Zhejiang University, Hangzhou, China · Southern University of Science and Technology, Shenzhen, China

  5. Small-scale neural simulation of Caenorhabditis elegans on Loihi-2 using NeuroML2Loihi

    Oct 18, 2026Danny Rosen, Ramashish Gaurav, Yang YiNeuromorphic ComputingNeural Network Hardware Acceleration

    Virginia Tech, Institute for Advanced Computing

  6. SpikeQ: Spike-Guided Post-Training Quantization for Spiking Neural Networks

    Oct 16, 2026Kai Sun, Peibo Duan, Zhanglu Yan +3Spiking Neural NetworksPost-Training Quantization

    Monash University · National University of Singapore · Northeastern University

  7. Towards bio-inspired visual navigation: a neuromorphic navigation paradigm for MAVs

    Oct 15, 2026Junjie Jiang, Ankang Zhou, Zheng FangVisual NavigationUAV Navigation

    Faculty of Robot Science and Engineering, Northeastern University, Shenyang 110819, China. · College of Information Science and Engineering, Northeastern University, Shenyang 110819, China.

  8. The Dormant Spiking Neuron: A State-Driven Mechanism for Efficient Spiking Neural Networks

    Oct 15, 2026Ruichen Ma, Yicai Chen, Pujun Zhou +5Spiking Neural NetworksEnergy-Efficient ML

    University of Electronic Science and Technology of China (UESTC) · Shenzhen Institute for Advanced Study, UESTC

  9. Neuromorphic Decoding and Dynamical Image Reconstruction from Populations of Spiking Retinal Ganglion Cells

    Oct 12, 2026Ning Zhang, Arto NurmikkoNeural DecodingImage Reconstruction

    School of Engineering, Brown University, Providence, RI 02912 USA

  10. PotentialEP: Backprop-Free Training of CIFAR-Scale Generative Models via Equilibrium Propagation

    Oct 10, 2026Alex GowerImage GenerationEquilibrium Propagation

    University of Cambridge & Nokia Bell Labs

  11. An all-transistor physical-learning transformer can be trained to perform in-context learning

    Oct 8, 2026Michael C. Abbott, Benjamin B. MachtaTransformer AttentionEquilibrium Propagation

    Yale Physics & QBio

  12. Synapse Loss Estimation for the BrainScaleS Wafer-scale Neuromorphic System

    Oct 5, 2026Bernhard Vogginger, Christian MayrNeuromorphic Computing

    Chair of Highly-Parallel VLSI-Systems and Neuro-Microelectronics, TUD Dresden University of Technology, Dresden, Germany

  13. From communication to computation in neurons-on-a-chip: an in silico study of neurotopomorphic computing

    Oct 5, 2026Michael Taynnan BarrosSpiking Neural NetworksNeuromorphic Computing

    School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK

  14. Neuromorphic Pseudo-Random Number Generators with a Low Power Hardware Implementation

    Sep 30, 2026Jafar Shamsi, Navid Akbari, Sonia Sennik +2Spiking Neural NetworksNeuromorphic Computing

    Hotchkiss Brain Institute, University of Calgary, Calgary, Canada · Biomedical Engineering, University of Calgary, Calgary, Canada · Electrical and Software Engineering, University of Calgary, Calgary, Canada +2

  15. Simulating Synchrony Loop Networks in the Open Source RISP Neuroprocessor

    Sep 29, 2026Jackson Mowry, Patrick AbbsUnsupervised ClusteringSpiking Neural Networks

    EECS Department University of Tennessee Knoxville, TN USA · Cambrya, Inc. Austin, TX USA

  16. ADPTNet: Adaptive with Prescriptive Timescales Non-Linear SSM for Sequence Modelling

    Sep 27, 2026Matei-Ioan Stan, Oliver RhodesRecurrent Neural NetworksNeuromorphic Computing

    International Centre for Neuromorphic Systems The University of Manchester Manchester, United Kingdom

  17. MorphAtt: A Neuromorphic Accelerator for Efficient Multi-Head Attention Processing in Spiking Vision Transformers

    Sep 27, 2026Rachmad Vidya Wicaksana Putra, Amirhesam Jafari Rad, Muhammad ShafiqueAI Accelerator InferenceSpiking Transformers

    eBRAIN Lab, New York University (NYU) Abu Dhabi, Abu Dhabi, United Arab Emirates · University of Tehran, Tehran, Iran

  18. All On-Board: Fully On-Chip Neuromorphic Q-Learning with Embedded CartPole Simulation

    Sep 26, 2026Steven C. Nesbit, Giovanni T. Michel, Gerd J. Kunde +2Neuromorphic ComputingQ-Learning

    College of Computing and Informatics, Drexel University, Philadelphia, PA, USA · Information Sciences (CAI-3), Los Alamos National Laboratory, Los Alamos, NM, USA · Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA +1

  19. A Voltage-controlled MTJ-CMOS Neuron Emulating Tunable Izhikevich-Inspired Dynamics

    Sep 25, 2026Kayode Oluwaseyi Adebunmi, Jordan Athas, Allison Fleming +5Neuromorphic ComputingSpiking Neural Networks

    Electrical and Computer Engineering, University of Wisconsin–Madison, Madison, 500 Lincoln Dr, Madison, 53706, Wisconsin, USA. · Electrical and Computer Engineering, Northwestern University, Evanston, IL, City, 60208, State, USA. · Electrical and Computer Engineering, George Mason University, 4400 University Dr, Fairfax, Virginia, 22030, Virginia, USA.

  20. Can Spiking Neural Networks play pinball? A neuromorphic motion detector for target tracking

    Sep 21, 2026Mazdak Fatahi, Šárka Pryjmaková, Pierre Boulet +1Event-Based VisionVisual Object Tracking

    Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France · Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague

  21. NAVIR: Neuromorphic Audio-Visual Speech Recognition for Robust Human-Robot Interaction on Edge Hardware

    Sep 21, 2026Leonidas Delimpasis, Panagiota Moraiti, Antonis Porichis +2Visual Speaker RecognitionAutomatic Speech Recognition

    Plaixus Ltd., Spyrou Patsi 62, 11855, Athens, Greece · Tech Hive Labs, 280 Kifisias Ave., 152 32 Halandri, Greece · AI Innovation Centre, University of Essex, Little Abington, CB21 6GP Cambridge, U.K.

  22. Sensing to Intelligence: Principles for Neuromorphic Circuits and Systems

    Sep 19, 2026Saptarshi Maiti, Chetan Singh ThakurNeuromorphic Computing

    Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, 560012, India. · Brain, Computation, and Data Science, Indian Institute of Science, Bangalore, 560012, India.

  23. DVA-Neurons: Design and Verification of Adaptive LIF Neurons: From Single-Neuron Dynamics to Multi-Neuron Spiking Networks

    Sep 19, 2026Thanh Pham, Riadul IslamSpiking Neural NetworksNeuromorphic Computing

    Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD 21250, United States

  24. A Spatiotemporal Extension of the Neuromorphic DBSCAN Implementation

    Sep 15, 2026Charles P. Rizzo, James S. PlankClusteringNeuromorphic Computing

    Department of Electrical Engineering and Computer Science University of Tennessee Knoxville, TN 37996

  25. Scaled Hippocampus-inspired Neural Networks on Neuromorphic Memristive Hardware

    Sep 14, 2026Joseph A. Kilgore, Jeffrey D. Kopsick, Zahin Ahmed +2Spiking Neural NetworksNeuromorphic Computing

    Department of Electrical and Computer Engineering, George Washington University, Washington, 20052, USA · Center for Neural Informatics, Structures, & Plasticity, George Mason University, Fairfax, 22030, USA

  26. A Memristive Synapse for Online STDP Learning and Inference in SNNs

    Sep 14, 2026Elia Mateu-Barriendos, Álvaro Gómez-Pau, Daniel Arumí +2Spiking Neural NetworksSpike-Timing-Dependent Plasticity

    Universitat Polit`ecnica de Catalunya - BarcelonaTech (UPC)

  27. LIMODENet: Attention-Free Compact Encoders for Information-Preserving Onboard Satellite Image Restoration

    Sep 13, 2026Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen +1Image RestorationNeuromorphic Computing

    Texas A&M University - Corpus Christi, TX, USA · University of Luxembourg, Kirchberg, Luxembourg

  28. A Time-Based Readout for Vector-Matrix Multiplication in Fully Analog Memristive SNNs

    Sep 10, 2026Elia Mateu-Barriendos, Álvaro Gómez-Pau, Josep Rius +3Efficient Neural Network InferenceCompute-in-Memory

    Universitat Polit`ecnica de Catalunya - BarcelonaTech (UPC)

  29. Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1

    Sep 10, 2026Thomas Dalgaty, Eiji Kawasaki, Miguel de Prado +2Compute-in-MemoryBayesian Inference

    CEA-List, Grenoble, France

  30. Fractional-order hardware for neuromorphic computing: Is the order really the problem?

    Sep 9, 2026Christof TeuscherNeuromorphic Computing

    Department of Electrical and Computer Engineering, Portland State University, Portland, Oregon, United States of America