Neuromorphic Hardware

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Period ending 2026-09-21

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Period ending 2026-09-14

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Period ending 2026-09-07

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  1. Position Paper: Neurotransmitters as a Missing Dimension in Artificial Neural Networks

    Sep 17, 2026Yupei Li, Manuel Milling, Berrak Sisman +1Synaptic PlasticityNeural Network

  2. A Spatiotemporal Extension of the Neuromorphic DBSCAN Implementation

    Sep 15, 2026Charles P. Rizzo, James S. PlankNeuromorphic HardwareSpatiotemporal

  3. Optical-Flow Wingbeat Counting in MuJoCo: A Comparison of Convolutional, Spiking, and Attention-Based Temporal Models

    Sep 15, 2026Zhang NengboOptical FlowTemporal Convolutional Networks

  4. Event-based Selective Attention for Multi-resolution Fast Region of Interest (ROI) Detection

    Sep 15, 2026Luca Peres, Giulia D'Angelo, Chiara Bartolozzi +1Feature Pyramid NetworksNeuromorphic Hardware

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

    Sep 14, 2026Joseph A. Kilgore, Jeffrey D. Kopsick, Zahin Ahmed +2Neuromorphic HardwareResistive Random Access Memory

  6. A neural-astrocyte architecture implements a hybrid automaton for evidence accumulation

    Sep 14, 2026Giacomo Vedovati, Ilya E. Monosov, Thomas J. Papouin +1Synaptic PlasticityLearning Dynamics

  7. Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams

    Sep 14, 2026Dalton Diez, Peyton Andras, Max Shroyer +1Spiking Neural NetworksBinary Spikes

  8. A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis

    Sep 14, 2026Mingzhi Chen, Yiyu Gui, Guibo Luo +1Multimodal Foundation ModelRetraining

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

    Sep 14, 2026Elia Mateu-Barriendos, Álvaro Gómez-Pau, Daniel Arumí +2Spike-Timing-Dependent PlasticitySynaptic Plasticity

  10. Dimension-Corrected Hitting Times for Heavy-Tailed Spectral Emergence in Neural Optimizer Dynamics

    Sep 14, 2026Zongmin LiuLong-Tailed DistributionNeural Network Optimization

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

    Sep 12, 2026Varun Manjunath, Pranav Ramesh, Gopalakrishnan SrinivasanSparse Deep Neural Network AcceleratorsSpiking Neural Networks

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

    Sep 12, 2026Elia Mateu-Barriendos, Álvaro Gómez-Pau, Josep Rius +3Resistive Random Access MemorySpiking Neural Networks

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

    Sep 12, 2026Thomas Dalgaty, Eiji Kawasaki, Miguel de Prado +2Bio-Inspired FrameworkProbabilistic Inference

  14. SCINTILLA-SNN: A Spiking Multi-Scale Selective Aggregation Network for Perineural Invasion Prediction

    Sep 11, 2026Youngung Han, Yului Jeong, Kyeonghun Kim +11Spiking Neural NetworksCholangiocarcinoma

  15. Polyhedral Geometry of Time-to-First-Spike Neural Networks

    Sep 11, 2026Manjot Singh, Guido Montúfar, Gitta KutyniokSpiking Neural NetworksBinary Spikes

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

    Sep 11, 2026Christof TeuscherNeuromorphic HardwareParallel Liquid-Inspired Temporal Relaxation

  17. SymbolicLight V2: Hybrid Neuromorphic Architecture and Sparse Execution for Low-Energy Language Inference

    Sep 9, 2026Ting LiuField-Programmable Gate ArraysNeuromorphic Hardware

  18. Robust Industrial Cyber Physical Classification Using Neuromorphic Temporal Embeddings and Hybrid SNN XGBoost Under Machine Unlearning Attacks

    Sep 9, 2026Ammar Kamoona, Sajad Koushkbaghi, Mahdi Jalili +2Attack DetectionCyber-Physical System

  19. When Quantization Breaks Memory: Recurrent-State Write-Back in Low-Precision Temporal Inference

    Sep 7, 2026Ismail Erbas, Xavier Intes, Vikas PandeyRecurrent StateQuantization

  20. Axonal delay dispersion decides whether a neuron detects an event or a sequence, and predicts cortical column diameter

    Sep 3, 2026Cheng Bi, Jipeng SunSynaptic PlasticityBinary Spikes

  21. Real-Time Neuromorphic Spectrum Intelligence Simulator

    Sep 1, 2026Navaneetha Krishnan KamalakannanNeuromorphic HardwareSpectrum

  22. Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition

    Aug 31, 2026Valentin M. Meunier, Amélie Gruel, Pierre Lewden +2Neuromorphic HardwareAudio Encoders

  23. Event-Driven Language Models with Sparse Neural Activity for Neuromorphic Hardware

    Aug 31, 2026Simon Richter, Ruhai Lin, Jason Yik +4Sparse Expert ActivationNeuromorphic Hardware

  24. "More Is Different'' in Neural Circuits: Algebraic Emergence of Effective Theories in Canonical Recurrent Motifs of Biological Neuronal Networks

    Aug 31, 2026Nima DehghaniMotifAlgebraic Structures

  25. Towards an Expressivity-Normalized Energy-Demand Comparison of ANNs and SNNs

    Aug 30, 2026Miriam Kranzlmüller, Pascal Esser, Gitta KutyniokSpiking Neural NetworksSparsity

  26. Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning

    Aug 13, 2026Zeyang Zhang, Tieliang Gong, Junyan Lu +1Efficient Continual LearningPlasticity

  27. Massive Activations in Hybrid Linear Attention Large Language Models: Pre-Attention Spikes and Inter-Spike Plateaus

    Aug 12, 2026Zunhai Su, Bohan Sun, Xialie Zhuang +8Model ActivationsLarge Language

  28. Lapis: Laplacian Spiking Attention via First-Spike Timing and Membrane Leakage

    Aug 12, 2026Kaiwen Tang, Jiaqi Zheng, Zixuan Zhu +3Binary SpikesSoftmax Attention

  29. Predictive Allostatic Organization in Recurrent and Spiking Agents Under Partial Observability

    Aug 11, 2026Frederick HayesPredictive CodingPartial Observability

  30. Rethinking Attention Locality in Spiking Transformers

    Aug 9, 2026Zeqi Zheng, Zizheng Zhu, Yuping Yan +3Transformer AttentionBinary Spikes

  31. SuperNeuroMAT: An Efficient Matrix-based Simulator for Spiking Neural Networks

    Aug 9, 2026Prasanna Date, Kevin Zhu, Shruti Kulkarni +12Spiking Neural NetworksNeuromorphic Hardware

  32. The Neural Division of Labor: Biologically-Inspired Modular Architectures for Robust Neuromorphic Computing

    Aug 8, 2026Maksim Bazhenov, Serafim Grubas, Vakhtang PutkaradzeSpiking Neural NetworksNeuromorphic Hardware

  33. Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks

    Aug 7, 2026Wilkie Olin-AmmentorpSpiking Neural NetworksRecurrent Neural Networks

  34. SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models

    Aug 7, 2026Ziqiao YuBinary SpikesFrozen Models

  35. PTQ4SNN: Membrane-Aware Post-Training Quantization for Spiking Neural Networks

    Aug 7, 2026Hui Xie, Tong Shi, Haotong Qin +3Spiking Neural NetworksWeight-Only Quantization

  36. Learning in Deep Networks under Dale's Constraint

    Aug 7, 2026Roy Abel, Shimon UllmanSynaptic PlasticityBackpropagation

  37. HazeSpikeMamba: Coupling Spiking-Inspired and State-Space Features for Self-Supervised Real-World Dehazing

    Aug 7, 2026Haoran Liu, Huibin Li, Mingzhe Liu +2Single Image DehazingU-Net

  38. Effective pruning of task-trained recurrent neural networks using noisy fluctuations and connection rescaling

    Aug 5, 2026Sanjith Senthil, Rishidev ChaudhuriRecurrent Neural NetworksSynaptic Plasticity

  39. SpikingNav: Robust Embodied Navigation with Spiking Neural Policies

    Aug 5, 2026Jiahong Zhang, Sijun Shen, Dehua Wu +5Embodied NavigationSpiking Neural Networks

  40. Cooking beyond Frames: A Stereo Event Camera Dataset in the Kitchen

    Aug 5, 2026Chengming Feng, Hesam Araghi, Liming Zheng +4Monocular VideosNeuromorphic Hardware

  41. MCHA: A Memory-Centric Hierarchical Architecture for Parallel-Sequential Computing

    Aug 5, 2026Daijing Shi, Hongxiao Zhao, Yihan Fu +7ParallelNeuromorphic Hardware

  42. Understanding Fault Tolerance of Adversarially Robust Pruned Models

    Aug 4, 2026Manali Dangarikar, Cory MerkelModern Deep NetworksHeterogeneous Pruning Scores

  43. AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning

    Aug 4, 2026Shengyang Li, Yiting Dong, Liuyang Song +5Spiking Neural NetworksHeterogeneous Federated Learning

  44. PLS-Calib: A Partial Least Squares Framework for Event Camera and Odometry Calibration under Ground Motion Constraints

    Aug 4, 2026Guangyu Li, Xiao Li, Yujie Wu +5Camera IntrinsicsOdometry

  45. SpikeRestormer: Towards Energy-Efficient All-in-One Image Restoration via Unified Event Reasoning

    Aug 3, 2026Shengkai Hu, Jie Shao, Jiaqi Ma +5Spiking Neural NetworksImage Restoration

  46. Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory

    Aug 3, 2026Zhaotian Gu, Jie Su, Weiwei Wang +3Recurrent Neural NetworksSynaptic Plasticity

  47. A Blind Spot in Alignment: Quantifying Biosecurity Risks in Large Language Models

    Aug 3, 2026Shu Quan, Tianfang Hao, Sitong Fang +8Large Language Model SafetyToxicity

  48. Spike-HTR: Spiking Neural Transformer for Handwritten Text Recognition

    Aug 3, 2026Xiubo Liang, Jinxing Han, Yuke Li +3Handwritten Text RecognitionSpiking Neural Networks

  49. SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks

    Aug 3, 2026Xiubo Liang, Jinxing Han, Yuke Li +3Spiking Neural NetworksMultimodal Transformers

  50. Breaking Diversity Collapse in Spiking Pseudo-Ensembles for Efficient OOD Detection in Remote Sensing

    Aug 2, 2026Srinivas Anumasa, Rushi Shah, Qiran Zou +1Spiking Neural NetworksOut-Of-Distribution Detection

  51. Event-Based Upper-Body Humanoid Teleoperation Under Challenging Illumination

    Jul 31, 2026Haoyu Fu, Zhou Ge, Chengze Li +4TeleoperationHumanoid

  52. Parameter-Efficient Fine-Tuning for Spiking Point Cloud Models

    Jul 31, 2026Zihao Guo, Jihua Zhu, Yiding Sun +2Spiking Neural NetworksBinary Spikes

  53. Temporal Poisoning: Clean-Label Backdoors via Event Redistribution in SNNs

    Jul 30, 2026Roberto Riaño, Gorka Abad, Stjepan Picek +1Spiking Neural NetworksBackdoor Attacks

  54. Driving up Inference Energy on SNNs: Per-Sample and Universal Sponge Attacks

    Jul 30, 2026Spyridon Raptis, Haralampos-G. StratigopoulosSpiking Neural NetworksBinary Spikes

  55. Nanoparticle Networks for Neuromorphic Computing

    Jul 30, 2026Jonas Mensing, Wilfred G. van der Wiel, Andreas HeuerNeuromorphic Hardware

  56. The Sparsity Ceiling: Where Spiking Networks Can and Cannot Trade Activity for Energy

    Jul 29, 2026Zeyu WangSpiking Neural NetworksNeuromorphic Hardware

  57. Reconstructing Backpropagation from Forward Fluctuations in Noise-modulated Neural Networks

    Jul 29, 2026Shuhei IkemotoBackpropagationNeural Network

  58. From Observation to Intervention: Memory in Brains and Large Language Models

    Jul 27, 2026Morteza Salehjahromi, Shayan A. Zadegan, Amgad Muneer +1Large Language Model MemoryEpisodic Memory

  59. The SpiNNaker2 chip: a many-core platform for flexible and scalable brain-inspired computing

    Jul 27, 2026Stefan Scholze, Johannes Partzsch, Sebastian Höppner +27Neuromorphic HardwareChip Design

  60. Neuromorphic Object Detection: An In-Depth Study and Future Directions

    Jul 26, 2026Jianing Li, Dianze Li, Arren Glover +5Object DetectionNeuromorphic Hardware