{"total":94,"rows":[{"id":"2302.13939","title":"SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks","created":"2023-02-27","cited_by_count":88,"area":null},{"id":"2205.04339","title":"Object Detection with Spiking Neural Networks on Automotive Event Data","created":"2022-05-09","cited_by_count":80,"area":null},{"id":"2304.06793","title":"Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline","created":"2023-04-13","cited_by_count":52,"area":null},{"id":"2302.06492","title":"Optical flow estimation from event-based cameras and spiking neural networks","created":"2023-02-13","cited_by_count":33,"area":null},{"id":"2207.01382","title":"Exploring Lottery Ticket Hypothesis in Spiking Neural Networks","created":"2022-07-04","cited_by_count":26,"area":null},{"id":"2406.02528","title":"Scalable MatMul-free Language Modeling","created":"2024-06-04","cited_by_count":25,"area":null},{"id":"2401.00955","title":"Learning Long Sequences in Spiking Neural Networks","created":"2023-12-14","cited_by_count":19,"area":null},{"id":"2210.01244","title":"Event-based Temporally Dense Optical Flow Estimation with Sequential Learning","created":"2022-10-03","cited_by_count":15,"area":null},{"id":"2306.12010","title":"Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection","created":"2023-06-21","cited_by_count":15,"area":null},{"id":"2311.16112","title":"Co-learning synaptic delays, weights and adaptation in spiking neural networks","created":"2023-09-12","cited_by_count":13,"area":null},{"id":"2304.07139","title":"Neuromorphic Optical Flow and Real-time Implementation with Event Cameras","created":"2023-04-14","cited_by_count":11,"area":null},{"id":"2503.02689","title":"STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks","created":"2025-03-04","cited_by_count":11,"area":null},{"id":"2111.05955","title":"Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks","created":"2021-11-10","cited_by_count":10,"area":null},{"id":"2210.03515","title":"Spiking neural networks for nonlinear regression","created":"2022-10-06","cited_by_count":10,"area":null},{"id":"2503.03272","title":"Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients","created":"2025-03-05","cited_by_count":9,"area":null},{"id":"2201.11915","title":"The fine line between dead neurons and sparsity in binarized spiking neural networks","created":"2022-01-28","cited_by_count":8,"area":null},{"id":"2205.15864","title":"Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware","created":"2022-05-30","cited_by_count":8,"area":null},{"id":"2407.05310","title":"Ternary Spike-based Neuromorphic Signal Processing System","created":"2024-07-07","cited_by_count":8,"area":null},{"id":"2501.10526","title":"Solving Sparse Finite Element Problems on Neuromorphic Hardware","created":"2025-01-17","cited_by_count":8,"area":null},{"id":"2503.18002","title":"Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2","created":"2025-02-12","cited_by_count":8,"area":null},{"id":"2406.14178","title":"EvSegSNN: Neuromorphic Semantic Segmentation for Event Data","created":"2024-06-20","cited_by_count":7,"area":null},{"id":"2207.04881","title":"Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario","created":"2022-06-28","cited_by_count":6,"area":null},{"id":"2211.09928","title":"SMS: Spiking Marching Scheme for Efficient Long Time Integration of Differential Equations","created":"2022-11-17","cited_by_count":5,"area":null},{"id":"2303.11860","title":"Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control","created":"2023-03-21","cited_by_count":5,"area":null},{"id":"2205.09140","title":"Relational representation learning with spike trains","created":"2022-05-18","cited_by_count":4,"area":null},{"id":"2307.13762","title":"Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor","created":"2023-07-25","cited_by_count":4,"area":null},{"id":"2406.13179","title":"Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting","created":"2024-06-19","cited_by_count":4,"area":null},{"id":"2407.18838","title":"The Role of Temporal Hierarchy in Spiking Neural Networks","created":"2024-07-26","cited_by_count":4,"area":null},{"id":"2408.03076","title":"Solving QUBO on the Loihi 2 Neuromorphic Processor","created":"2024-08-06","cited_by_count":4,"area":null},{"id":"2411.13945","title":"Neuromorphic Attitude Estimation and Control","created":"2024-11-21","cited_by_count":4,"area":null},{"id":"2504.00719","title":"Scaling Up Resonate-and-Fire Networks for Fast Deep Learning","created":"2025-04-01","cited_by_count":4,"area":null},{"id":"2505.18023","title":"Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time","created":"2025-05-23","cited_by_count":4,"area":null},{"id":"2603.08725","title":"Performance Analysis of Edge and In-Sensor AI Processors: A Comparative Review","created":"2026-02-18","cited_by_count":4,"area":null},{"id":"2211.10725","title":"Intelligence Processing Units Accelerate Neuromorphic Learning","created":"2022-11-19","cited_by_count":3,"area":null},{"id":"2405.01305","title":"Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware","created":"2024-05-02","cited_by_count":3,"area":null},{"id":"2408.15578","title":"FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration with Reconfigurable Spatial Architecture","created":"2024-08-28","cited_by_count":3,"area":null},{"id":"2410.08673","title":"SpikeBottleNet: Spike-Driven Feature Compression Architecture for Edge-Cloud Co-Inference","created":"2024-10-11","cited_by_count":3,"area":null},{"id":"2411.04728","title":"Neuromorphic Wireless Split Computing with Multi-Level Spikes","created":"2024-11-07","cited_by_count":3,"area":null},{"id":"2502.01330","title":"Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity","created":"2025-02-03","cited_by_count":3,"area":null},{"id":"2504.05341","title":"Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective","created":"2025-04-06","cited_by_count":3,"area":null},{"id":"2506.12480","title":"Quantizing Small-Scale State-Space Models for Edge AI","created":"2025-06-14","cited_by_count":3,"area":null},{"id":"2507.16043","title":"Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks","created":"2025-07-21","cited_by_count":3,"area":null},{"id":"2205.15386","title":"Dictionary Learning with Accumulator Neurons","created":"2022-05-30","cited_by_count":2,"area":null},{"id":"2302.09429","title":"NU-AIR -- A Neuromorphic Urban Aerial Dataset for Detection and Localization of Pedestrians and Vehicles","created":"2023-02-18","cited_by_count":2,"area":null},{"id":"2404.19668","title":"SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks","created":"2024-04-15","cited_by_count":2,"area":null},{"id":"2407.04525","title":"Augmenting learning in neuro-embodied systems through neurobiological first principles","created":"2024-07-05","cited_by_count":2,"area":null},{"id":"2504.14015","title":"Causal pieces: analysing and improving spiking neural networks piece by piece","created":"2025-04-18","cited_by_count":2,"area":null},{"id":"2509.17186","title":"Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling","created":"2025-09-21","cited_by_count":2,"area":null},{"id":"2511.07883","title":"SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition","created":"2025-11-11","cited_by_count":2,"area":null},{"id":"2203.01416","title":"A Fully Memristive Spiking Neural Network with Unsupervised Learning","created":"2022-03-02","cited_by_count":1,"area":null},{"id":"2301.13637","title":"Tricking AI chips into Simulating the Human Brain: A Detailed Performance Analysis","created":"2023-01-31","cited_by_count":1,"area":null},{"id":"2402.08936","title":"Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness","created":"2024-02-14","cited_by_count":1,"area":null},{"id":"2408.13379","title":"N-DriverMotion: Driver motion learning and prediction using an event-based camera and directly trained spiking neural networks on Loihi 2","created":"2024-08-23","cited_by_count":1,"area":null},{"id":"2409.15849","title":"Twin Network Augmentation: A Novel Training Strategy for Improved Spiking Neural Networks and Efficient Weight Quantization","created":"2024-09-24","cited_by_count":1,"area":null},{"id":"2501.16337","title":"Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing","created":"2025-01-09","cited_by_count":1,"area":null},{"id":"2503.16775","title":"Region Masking to Accelerate Video Processing on Neuromorphic Hardware","created":"2025-03-21","cited_by_count":1,"area":null},{"id":"2510.06629","title":"Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks","created":"2025-10-08","cited_by_count":1,"area":null},{"id":"2511.00904","title":"Random Spiking Neural Networks are Stable and Spectrally Simple","created":"2025-11-02","cited_by_count":1,"area":null},{"id":"2608.23987","title":"Low-Latency Activation-Regularized Sparse Neural Operators with Distillation Assistance Towards Real-Time Neuromorphic Virtual Sensing","created":"2026-08-25","cited_by_count":1,"area":null},{"id":"2212.13945","title":"A Segmentation Method for fluorescence images without a machine learning approach","created":"2022-12-28","cited_by_count":0,"area":null},{"id":"2302.07624","title":"Frameworks for SNNs: a Review of Data Science-oriented Software and an Expansion of SpykeTorch","created":"2023-02-15","cited_by_count":0,"area":null},{"id":"2312.05290","title":"Noise Adaptor in Spiking Neural Networks","created":"2023-12-08","cited_by_count":0,"area":null},{"id":"2404.16208","title":"GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures","created":"2024-04-24","cited_by_count":0,"area":null},{"id":"2408.15800","title":"Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing","created":"2024-08-28","cited_by_count":0,"area":null},{"id":"2410.15854","title":"TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration","created":"2024-10-21","cited_by_count":0,"area":null},{"id":"2411.17431","title":"Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion","created":"2024-11-26","cited_by_count":0,"area":null},{"id":"2501.03874","title":"Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media","created":"2025-01-07","cited_by_count":0,"area":null},{"id":"2505.16362","title":"Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2506.03996","title":"Spiking Brain Compression: Post-Training Second-order Compression for Spiking Neural Networks","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2506.20015","title":"Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons","created":"2025-06-24","cited_by_count":0,"area":null},{"id":"2506.24041","title":"Unsupervised Sparse Coding-based Spiking Neural Network for Real-time Spike Sorting","created":"2025-06-30","cited_by_count":0,"area":null},{"id":"2507.18139","title":"Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2508.09466","title":"Event-driven Robust Fitting on Neuromorphic Hardware","created":"2025-08-13","cited_by_count":0,"area":null},{"id":"2508.14520","title":"Quantization Meets Spikes: Nearly Lossless Conversion at the First Timestep via Polarity Multi-Spike Mapping","created":"2025-08-20","cited_by_count":0,"area":null},{"id":"2510.20071","title":"Filter-Based Reconstruction of Images from Events","created":"2025-10-22","cited_by_count":0,"area":null},{"id":"2510.20683","title":"A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks","created":"2025-10-23","cited_by_count":0,"area":null},{"id":"2511.01553","title":"Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network","created":"2025-11-03","cited_by_count":0,"area":null},{"id":"2511.20175","title":"Realizing Fully-Integrated, Low-Power, Event-Based Pupil Tracking with Neuromorphic Hardware","created":"2025-11-25","cited_by_count":0,"area":null},{"id":"2512.00113","title":"From RISC-V Cores to Neuromorphic Arrays: A Tutorial on Building Scalable Digital Neuromorphic Processors","created":"2025-11-27","cited_by_count":0,"area":null},{"id":"2512.22522","title":"Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks","created":"2025-12-27","cited_by_count":0,"area":null},{"id":"2601.09755","title":"Heterogeneous computing platform for real-time robotics","created":"2026-01-13","cited_by_count":0,"area":null},{"id":"2602.18131","title":"Learning Long-Range Dependencies with Temporal Predictive Coding","created":"2026-02-20","cited_by_count":0,"area":null},{"id":"2603.15725","title":"S2Act: Simple Spiking Actor","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2605.10178","title":"Joint sparse coding and temporal dynamics support context reconfiguration","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.12217","title":"Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGA","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2605.17686","title":"Brain-inspired spike-timing plasticity for reliable label-efficient event-camera vision","created":"2026-05-17","cited_by_count":0,"area":null},{"id":"2605.25293","title":"Neuromorphic LiDAR-based Bird's Eye View Object Detection using Energy-efficient Spiking Neural Networks","created":"2026-05-24","cited_by_count":0,"area":null},{"id":"2605.28387","title":"CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2606.13901","title":"SpikF-GO: Spiking Fourier Graph Operators for Multivariate Time Series Forecasting","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2607.16834","title":"Robust PnP on a Neuromorphic Processor for Object Pose Estimation","created":"2026-07-18","cited_by_count":0,"area":null},{"id":"2608.08479","title":"SuperNeuroMAT: An Efficient Matrix-based Simulator for Spiking Neural Networks","created":"2026-08-09","cited_by_count":0,"area":null},{"id":"2608.17394","title":"Noisy group neurons with synchronous resetting for high-performance spiking neural networks","created":"2026-08-18","cited_by_count":0,"area":null},{"id":"2608.19239","title":"BASC : Behavior-Aligned Quantization and Pruning for Low-Bit Spiking Neural Networks","created":"2026-08-12","cited_by_count":0,"area":null},{"id":"2608.22072","title":"Spiking Neural Networks for Energy-Efficient Object Detection in Forward-Looking Sonar Imagery","created":"2026-08-22","cited_by_count":0,"area":null}],"next_cursor":null}