{"total":97,"rows":[{"id":"2209.15425","title":"Spikformer: When Spiking Neural Network Meets Transformer","created":"2022-09-29","cited_by_count":271,"area":null},{"id":"2202.11946","title":"Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting","created":"2022-02-24","cited_by_count":198,"area":null},{"id":"2103.00476","title":"Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks","created":"2021-02-28","cited_by_count":139,"area":null},{"id":"2205.00459","title":"Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation","created":"2022-05-01","cited_by_count":89,"area":null},{"id":"2210.13768","title":"GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks","created":"2022-10-25","cited_by_count":63,"area":null},{"id":"2201.10355","title":"Neural Architecture Search for Spiking Neural Networks","created":"2022-01-23","cited_by_count":53,"area":null},{"id":"2210.04195","title":"Online Training Through Time for Spiking Neural Networks","created":"2022-10-09","cited_by_count":49,"area":null},{"id":"2305.19868","title":"Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN","created":"2023-05-31","cited_by_count":46,"area":null},{"id":"2202.01440","title":"Optimized Potential Initialization for Low-latency Spiking Neural Networks","created":"2022-02-03","cited_by_count":41,"area":null},{"id":"2109.14247","title":"Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State","created":"2021-09-29","cited_by_count":40,"area":null},{"id":"2302.02091","title":"Reducing ANN-SNN Conversion Error through Residual Membrane Potential","created":"2023-02-04","cited_by_count":40,"area":null},{"id":"2302.10685","title":"Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes","created":"2023-02-21","cited_by_count":40,"area":null},{"id":"2312.06372","title":"Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks","created":"2023-12-11","cited_by_count":38,"area":null},{"id":"2308.08359","title":"Membrane Potential Batch Normalization for Spiking Neural Networks","created":"2023-08-16","cited_by_count":35,"area":null},{"id":"2305.19725","title":"Direct Learning-Based Deep Spiking Neural Networks: A Review","created":"2023-05-31","cited_by_count":31,"area":null},{"id":"2401.02020","title":"Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket","created":"2024-01-04","cited_by_count":30,"area":null},{"id":"2308.06787","title":"RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks","created":"2023-08-13","cited_by_count":28,"area":null},{"id":"2301.11929","title":"Training Full Spike Neural Networks via Auxiliary Accumulation Pathway","created":"2023-01-27","cited_by_count":26,"area":null},{"id":"2202.03133","title":"Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?","created":"2022-01-31","cited_by_count":25,"area":null},{"id":"2211.14406","title":"Exploring Temporal Information Dynamics in Spiking Neural Networks","created":"2022-11-26","cited_by_count":24,"area":null},{"id":"2110.08858","title":"Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks","created":"2021-10-17","cited_by_count":23,"area":null},{"id":"2110.00375","title":"Fully Spiking Variational Autoencoder","created":"2021-09-26","cited_by_count":22,"area":null},{"id":"2210.06686","title":"Real Spike: Learning Real-valued Spikes for Spiking Neural Networks","created":"2022-10-13","cited_by_count":22,"area":null},{"id":"2106.07030","title":"The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware","created":"2021-06-13","cited_by_count":19,"area":null},{"id":"2305.16044","title":"Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks","created":"2023-05-25","cited_by_count":18,"area":null},{"id":"2110.05929","title":"One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency","created":"2021-10-01","cited_by_count":17,"area":null},{"id":"2403.12574","title":"EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks","created":"2024-03-19","cited_by_count":16,"area":null},{"id":"2401.04486","title":"Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks","created":"2024-01-09","cited_by_count":14,"area":null},{"id":"2209.03358","title":"Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples","created":"2022-09-07","cited_by_count":13,"area":null},{"id":"2503.00226","title":"Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer","created":"2025-02-28","cited_by_count":13,"area":null},{"id":"2105.12917","title":"BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons","created":"2021-05-27","cited_by_count":12,"area":null},{"id":"2304.13098","title":"Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient","created":"2023-04-25","cited_by_count":11,"area":null},{"id":"2502.21193","title":"Towards High-performance Spiking Transformers from ANN to SNN Conversion","created":"2025-02-28","cited_by_count":11,"area":null},{"id":"2304.06540","title":"Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future","created":"2023-04-13","cited_by_count":10,"area":null},{"id":"2305.05954","title":"Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation","created":"2023-05-10","cited_by_count":10,"area":null},{"id":"2305.09850","title":"MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks","created":"2023-05-16","cited_by_count":10,"area":null},{"id":"2403.03409","title":"Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN","created":"2024-03-06","cited_by_count":10,"area":null},{"id":"2405.20355","title":"Enhancing Adversarial Robustness in SNNs with Sparse Gradients","created":"2024-05-30","cited_by_count":10,"area":null},{"id":"2206.06129","title":"A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks","created":"2022-06-10","cited_by_count":9,"area":null},{"id":"2302.00232","title":"SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks","created":"2023-02-01","cited_by_count":8,"area":null},{"id":"2302.11618","title":"Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles","created":"2023-02-22","cited_by_count":8,"area":null},{"id":"2407.14073","title":"LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks","created":"2024-07-19","cited_by_count":8,"area":null},{"id":"2410.11488","title":"Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation","created":"2024-10-15","cited_by_count":8,"area":null},{"id":"2108.13621","title":"Spike time displacement based error backpropagation in convolutional spiking neural networks","created":"2021-08-31","cited_by_count":6,"area":null},{"id":"2111.07785","title":"Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules","created":"2021-11-15","cited_by_count":6,"area":null},{"id":"2203.01544","title":"Rethinking the role of normalization and residual blocks for spiking neural networks","created":"2022-03-03","cited_by_count":6,"area":null},{"id":"2312.07922","title":"Memory-Efficient Reversible Spiking Neural Networks","created":"2023-12-13","cited_by_count":6,"area":null},{"id":"2503.16572","title":"Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement","created":"2025-03-20","cited_by_count":6,"area":null},{"id":"2104.11169","title":"Noise-Robust Deep Spiking Neural Networks with Temporal Information","created":"2021-04-22","cited_by_count":5,"area":null},{"id":"2307.12900","title":"Automotive Object Detection via Learning Sparse Events by Spiking Neurons","created":"2023-07-24","cited_by_count":5,"area":null},{"id":"2203.10006","title":"Ultra-low Latency Spiking Neural Networks with Spatio-Temporal Compression and Synaptic Convolutional Block","created":"2022-03-18","cited_by_count":4,"area":null},{"id":"2212.10170","title":"Hoyer regularizer is all you need for ultra low-latency spiking neural networks","created":"2022-12-20","cited_by_count":4,"area":null},{"id":"2306.12045","title":"Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes","created":"2023-06-21","cited_by_count":4,"area":null},{"id":"2310.06488","title":"SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network","created":"2023-10-10","cited_by_count":4,"area":null},{"id":"2506.01968","title":"Efficient ANN-SNN Conversion with Error Compensation Learning","created":"2025-05-12","cited_by_count":4,"area":null},{"id":"2111.13188","title":"BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks","created":"2021-11-14","cited_by_count":3,"area":null},{"id":"2112.07426","title":"Direct Training via Backpropagation for Ultra-low Latency Spiking Neural Networks with Multi-threshold","created":"2021-11-25","cited_by_count":3,"area":null},{"id":"2206.00823","title":"Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules","created":"2022-06-02","cited_by_count":3,"area":null},{"id":"2301.12356","title":"Exploiting High Performance Spiking Neural Networks with Efficient Spiking Patterns","created":"2023-01-29","cited_by_count":3,"area":null},{"id":"2303.13080","title":"MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks","created":"2023-03-23","cited_by_count":3,"area":null},{"id":"2304.10749","title":"Multi-scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks","created":"2023-04-21","cited_by_count":3,"area":null},{"id":"2308.02557","title":"Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms","created":"2023-08-02","cited_by_count":3,"area":null},{"id":"2308.10373","title":"HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds","created":"2023-08-20","cited_by_count":3,"area":null},{"id":"2403.12462","title":"Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks","created":"2024-03-19","cited_by_count":3,"area":null},{"id":"2407.05739","title":"Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks","created":"2024-07-08","cited_by_count":3,"area":null},{"id":"2407.12516","title":"Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks","created":"2024-07-17","cited_by_count":3,"area":null},{"id":"2410.15689","title":"Enhancing SNN-based Spatio-Temporal Learning: A Benchmark Dataset and Cross-Modality Attention Model","created":"2024-10-21","cited_by_count":3,"area":null},{"id":"2506.07720","title":"ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks","created":"2025-06-09","cited_by_count":3,"area":null},{"id":"2510.12934","title":"Learning at the Speed of Physics: Equilibrium Propagation on Oscillator Ising Machines","created":"2025-10-14","cited_by_count":3,"area":null},{"id":"2205.13585","title":"Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training","created":"2022-05-26","cited_by_count":2,"area":null},{"id":"2212.04377","title":"Models Developed for Spiking Neural Networks","created":"2022-12-08","cited_by_count":2,"area":null},{"id":"2407.06452","title":"Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing","created":"2024-07-08","cited_by_count":2,"area":null},{"id":"2408.12293","title":"AT-SNN: Adaptive Tokens for Vision Transformer on Spiking Neural Network","created":"2024-08-22","cited_by_count":2,"area":null},{"id":"2412.05505","title":"Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search","created":"2024-12-07","cited_by_count":2,"area":null},{"id":"2109.13208","title":"Spiking neural networks trained via proxy","created":"2021-09-27","cited_by_count":1,"area":null},{"id":"2201.10879","title":"S$^3$NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks","created":"2022-01-26","cited_by_count":1,"area":null},{"id":"2205.07292","title":"A Computational Framework of Cortical Microcircuits Approximates Sign-concordant Random Backpropagation","created":"2022-05-15","cited_by_count":1,"area":null},{"id":"2205.12718","title":"DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling","created":"2022-05-24","cited_by_count":1,"area":null},{"id":"2309.05263","title":"Brain-inspired Evolutionary Architectures for Spiking Neural Networks","created":"2023-09-11","cited_by_count":1,"area":null},{"id":"2401.08649","title":"Deep Pulse-Coupled Neural Networks","created":"2023-12-24","cited_by_count":1,"area":null},{"id":"2409.15375","title":"DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal Attention","created":"2024-09-20","cited_by_count":1,"area":null},{"id":"2505.12292","title":"SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks","created":"2025-05-18","cited_by_count":1,"area":null},{"id":"2212.09500","title":"Exploring Tradeoffs in Spiking Neural Networks","created":"2022-12-15","cited_by_count":0,"area":null},{"id":"2302.01500","title":"Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks","created":"2023-02-03","cited_by_count":0,"area":null},{"id":"2307.04356","title":"InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks","created":"2023-07-10","cited_by_count":0,"area":null},{"id":"2310.09692","title":"Spike-based Neuromorphic Computing for Next-Generation Computer Vision","created":"2023-10-15","cited_by_count":0,"area":null},{"id":"2403.18228","title":"Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification","created":"2024-03-27","cited_by_count":0,"area":null},{"id":"2407.08746","title":"Iteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification","created":"2024-06-03","cited_by_count":0,"area":null},{"id":"2407.18625","title":"Topology Optimization of Random Memristors for Input-Aware Dynamic SNN","created":"2024-07-26","cited_by_count":0,"area":null},{"id":"2410.07547","title":"Rethinking SNN Online Training and Deployment: Gradient-Coherent Learning via Hybrid-Driven LIF Model","created":"2024-10-10","cited_by_count":0,"area":null},{"id":"2411.06792","title":"Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks","created":"2024-11-11","cited_by_count":0,"area":null},{"id":"2508.10913","title":"SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization","created":"2025-08-01","cited_by_count":0,"area":null},{"id":"2511.14691","title":"Attention via Synaptic Plasticity is All You Need: A Biologically Inspired Spiking Neuromorphic Transformer","created":"2025-11-18","cited_by_count":0,"area":null},{"id":"2601.11261","title":"Effects of Introducing Synaptic Scaling on Spiking Neural Network Learning","created":"2026-01-16","cited_by_count":0,"area":null},{"id":"2603.26781","title":"Efficient Encrypted Computation in Convolutional Spiking Neural Networks with TFHE","created":"2026-03-25","cited_by_count":0,"area":null},{"id":"2605.30362","title":"XOResNet: Exclusive-OR Meta-Residuals Facilitate Deep Spiking Neural Networks Learning","created":"2026-05-15","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}],"next_cursor":null}