| Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks |
https://github.com/fangwei123456/Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron |
ICCV 2021 |
| Pruning of Deep Spiking Neural Networks through Gradient Rewiring |
https://github.com/Yanqi-Chen/Gradient-Rewiring |
IJCAI 2021 |
| Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks |
https://github.com/DingJianhao/OptSNNConvertion-RNL-RIL |
IJCAI 2021 |
| Deep Residual Learning in Spiking Neural Networks |
https://github.com/fangwei123456/Spike-Element-Wise-ResNet |
NeurIPS 2021 |
| Spiking Neural Networks Trained via Proxy |
https://github.com/SRKH/ProxyLearning |
IEEE Access |
| StereoSpike: Depth Learning with a Spiking Neural Network |
https://github.com/urancon/StereoSpike |
IEEE Access |
| An Odor Recognition Algorithm of Electronic Noses Based on Convolutional Spiking Neural Network for Spoiled Food Identification |
|
Journal of The Electrochemical Society |
| Cascade Spiking Neuron Network For Event-based Image Classification In Noisy Environment |
|
|
| Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks |
https://github.com/VicenteAlex/Spiking_ResNet |
Neuromorphic Computing and Engineering |
| Human-Level Control through Directly-Trained Deep Spiking Q-Networks |
https://github.com/AptX395/Deep-Spiking-Q-Networks |
IEEE Transactions on Cybernetics |
| Deep Reinforcement Learning with Spiking Q-learning |
|
|
| Event-based Video Reconstruction via Potential-assisted Spiking Neural Network |
https://github.com/LinZhu111/EVSNN |
CVPR 2022 |
| Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks |
https://github.com/putshua/SNN-conversion-QCFS |
ICLR 2022 |
| Optimized Potential Initialization for Low-latency Spiking Neural Networks |
|
AAAI 2022 |
| AutoSNN: Towards Energy-Efficient Spiking Neural Networks |
|
ICML 2022 |
| Neural Architecture Search for Spiking Neural Networks |
https://github.com/Intelligent-Computing-Lab-Yale/Neural-Architecture-Search-for-Spiking-Neural-Networks |
ECCV 2022 |
| FEAS: A Faster Event-driven Accelerator Supporting Inhibitory Spiking Neural Network |
|
International Symposium on Parallel Architectures, Algorithms and Programming (PAAP) 2021 |
| Neuromorphic Data Augmentation for Training Spiking Neural Networks |
https://github.com/Intelligent-Computing-Lab-Yale/NDA_SNN |
ECCV 2022 |
| SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network |
|
|
| Building and training a deep spiking neural network for ECG classification |
|
Biomedical Signal Processing and Control |
| DynSNN: A Dynamic Approach to Reduce Redundancy in Spiking Neural Networks |
|
ICASSP 2022 |
| Object Detection with Spiking Neural Networks on Automotive Event Data |
|
IJCNN 2022 |
| State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks |
https://github.com/Yanqi-Chen/STDS |
ICML 2022 |
| Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation |
https://github.com/qymeng94/DSR |
CVPR 2022 |
| Relaxation LIF: A gradient-based spiking neuron for direct training deep spiking neural networks |
|
Neurocomputing |
| SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks |
https://github.com/TJXTT/SNN2ANN |
|
| Spiking Neural Networks for Frame-based and Event-based Single Object Localization |
|
|
| TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks |
https://github.com/ridgerchu/TCJA |
IEEE Transactions on Neural Networks and Learning Systems |
| Exploring Lottery Ticket Hypothesis in Spiking Neural Networks |
https://github.com/Intelligent-Computing-Lab-Yale/Exploring-Lottery-Ticket-Hypothesis-in-SNNs |
ECCV 2022 |
| Spiking Graph Convolutional Networks |
https://github.com/ZulunZhu/SpikingGCN |
IJCAI 2022 |
| Spiking VGG7: Deep Convolutional Spiking Neural Network with Direct Training for Object Recognition |
|
Electronics |
| Spiking Neural Network Based on Layer-Wise Compensation for Event-Stream Image Classification |
|
International Technical Conference on Advances in Computing, Control and Industrial Engineering (CCIE 2021) |
| A calibratable sensory neuron based on epitaxial VO2 for spike-based neuromorphic multisensory system |
https://github.com/billyuanpku96/SNN-for-sensory-neuron |
Nature Communications |
| A model of TaOx threshold switching memristor for neuromorphic computing |
|
Journal of Applied Physics |
| Label Distribution Learning via Implicit Distribution Representation |
|
|
| Spiking SiamFC++: Deep Spiking Neural Network for Object Tracking |
|
|
| Spikformer: When Spiking Neural Network Meets Transformer |
https://github.com/ZK-Zhou/spikformer |
ICLR 2023 |
| SNN-SC: A Spiking Semantic Communication Framework for Classification |
|
|
| STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks |
|
|
| Online Training Through Time for Spiking Neural Networks |
https://github.com/pkuxmq/OTTT-SNN |
NeurIPS 2022 |
| Training Spiking Neural Networks with Event-driven Backpropagation |
https://github.com/zhuyaoyu/SNN-event-driven-learning |
NeurIPS 2022 |
| GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks |
https://github.com/Ikarosy/Gated-LIF |
NeurIPS 2022 |
| Temporal Effective Batch Normalization in Spiking Neural Networks |
https://openreview.net/attachment?id=fLIgyyQiJqz&name=supplementary_material |
NeurIPS 2022 |
| Attention Spiking Neural Networks |
fangwei123456#329 |
IEEE Transactions on Pattern Analysis and Machine Intelligence |
| Training Full Spike Neural Networks via Auxiliary Accumulation Pathway |
|
|
| Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes |
https://github.com/hzc1208/ANN2SNN_COS |
ICLR 2023 |
| A Unified Framework of Soft Threshold Pruning |
|
ICLR 2023 |
| Reducing ANN-SNN Conversion Error through Residual Membrane Potential |
https://github.com/hzc1208/ANN2SNN_SRP |
AAAI 2023 |
| MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network |
|
|
| An Analytical Estimation of Spiking Neural Networks Energy Efficiency |
|
ICONIP 2022 |
| Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network |
|
|
| A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning |
|
|
| Skin Cancer Classification Using Deep Spiking Neural Network |
|
Journal of Digital Imaging |
| Entrenamiento supervisado de redes neuronales de impulsos |
|
XLIII Jornadas de Automática |
| Spiking Neuron Network Based on VTEAM Memristor and MOSFET-LIF Neuron |
|
International Federation for Information Processing 2022 |
| Spiking Emotions: Dynamic Vision Emotion Recognition Using Spiking Neural Networks |
|
International Conference on Algorithms, High Performance Computing and Artificial Intelligence 2022 |
| Bio-inspired Active Learning method in spiking neural network |
|
Knowledge-Based Systems |
| Deep Spiking Residual Shrinkage Network for Bearing Fault Diagnosis |
|
IEEE Transactions on Cybernetics |
| Control and regulation of skyrmionic topological charge in a novel synthetic antiferromagnetic nanostructure |
|
Nanoscale |
| Accurate ECG Classification Based on Spiking Neural Network and Attentional Mechanism for Real-Time Implementation on Personal Portable Devices |
|
Electronics |
| Dynamic Threshold Integrate and Fire Neuron Model for Low Latency Spiking Neural Networks |
|
Neurocomputing |
| Neuromorphic-P2M: Processing-in-Pixel-in-Memory Paradigm for Neuromorphic Image Sensors |
|
Frontiers in Neuroinformatics |
| Bioinspired membrane learnable spiking neural network for autonomous vehicle sensors fault diagnosis under open environments |
|
Reliability Engineering & System Safety |
| Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines |
|
IEEE Transactions on Emerging Topics in Computational Intelligence |
| Supervised Learning Algorithm Based on Spike Train Inner Product for Deep Spiking Neural Networks |
|
Brain Sciences |
| Mitigating Catastrophic Forgetting in Spiking Neural Networks through Threshold Modulation |
https://github.com/Thvnvtos/Nm-SNN |
Transactions on Machine Learning Research |
| Optical Flow estimation with Event-based Cameras and Spiking Neural Networks |
https://github.com/J-Cuadrado/OF_EV_SNN |
Frontiers in Neuroscience |
| Poster: Backdoor Attacks on Spiking NNs and Neuromorphic Datasets |
https://github.com/GorkaAbad/NeuromorphicBackdoors |
CCS 2022 |
| Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data |
https://github.com/GorkaAbad/Sneaky-Spikes |
NDSS 2024 |
| SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks |
https://github.com/ridgerchu/SpikeGPT |
|
| Trainable quantization for Speedy Spiking Neural Networks |
|
Frontiers in Neuroscience |
| Training-aware Low Precision Quantization in Spiking Neural Networks |
|
Asilomar Conference on Signals, Systems & Computers 2022 |
| Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks |
https://github.com/qymeng94/SLTT |
ICCV 2023 |
| Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks |
|
|
| Detecting COVID-19 on CT Images with Impulsive-Backpropagation Neural Networks |
|
Chinese Control and Decision Conference, CCDC 2022 |
| Rethinking Deep Spiking Neural Networks: A Multi-Layer Perceptron Approach |
|
|
| Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse |
|
AAAI 2023 |
| A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception |
|
|
| Constrain Bias Addition to Train Low-Latency Spiking Neural Networks |
|
Brain Sciences |
| Event-based Human Pose Tracking by Spiking Spatiotemporal Transformer |
https://github.com/JimmyZou/HumanPoseTracking_SNN |
|
| Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation |
|
CVPR 2023 |
| Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras |
|
International Conference on Content-based Multimedia Indexing, 2023 |
| Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies |
https://github.com/fangwei123456/Parallel-Spiking-Neuron |
NeurIPS 2023 |
| Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network |
https://github.com/zhouchenlin2096/Spikingformer |
|
| Enhancing the Performance of Transformer-based Spiking Neural Networks by Improved Downsampling with Precise Gradient Backpropagation |
https://github.com/zhouchenlin2096/Spikingformer-CML |
|
| Lip print recognition based on convolutional spiking neural network |
|
International Conference on Image, Signal Processing, and Pattern Recognition 2023 |
| Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli |
|
|
| Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function |
|
|
| A Brain-Inspired Spiking Network Framework Based on Multi-Time-Step Self-Attention for Lithium-ion Batteries Capacity Prediction |
|
IEEE Transactions on Consumer Electronics |
| Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration |
|
|
| Exploring Joint Embedding Architectures and Data Augmentations for Self-Supervised Representation Learning in Event-Based Vision |
https://github.com/Barchid/exploring_event_ssl |
CVPR 2023 |
| End-to-End Neuromorphic Lip-Reading |
|
CVPR 2023 Workshops |
| Configurable NbOx Memristors as Artificial Synapses or Neurons Achieved by Regulating the Forming Compliance Current for the Spiking Neural Network |
|
Advanced Electronic Materials |
| Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings |
https://github.com/Thvnvtos/SNN-delays |
ICLR 2024 |
| Spike-driven Transformer |
https://github.com/BICLab/Spike-Driven-Transformer |
NeurIPS 2023 |
| Inherent Redundancy in Spiking Neural Networks |
https://github.com/BICLab/ASA-SNN |
ICCV 2023 |
| Training of Spiking Neural Network joint Curriculum Learning Strategy |
|
|
| Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks |
|
|
| SpikeBERT: A Language Spikformer Trained with Two-Stage Knowledge Distillation from BERT |
|
|
| Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks |
https://github.com/chenjallen/Resource-Constrained-Compression-on-SNN |
ACM MM 2023 |
| Privacy-Preserving Discretized Spiking Neural Networks |
|
|
| Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms |
|
|
| Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference |
|
|
| Improving Spiking Neural Network Performance with Auxiliary Learning |
|
Machine Learning and Knowledge Extraction |
| SDenseNet-An Improved DenseNet Model for Spiking Neural Networks |
|
Journal of Physics: Conference Series |
| Enhancing Robustness of Memristor Crossbar-Based Spiking Neural Networks against Nonidealities: A Hybrid Approach for Neuromorphic Computing in Noisy Environments |
|
Advanced Intelligent Systems |
| A LIF Neuron With Adaptive Firing Frequency Based on the GaSe Memristor |
|
IEEE Transactions on Electron Devices |
| Direct training high-performance spiking neural networks for object recognition and detection |
|
Frontiers in Neuroscience |
| Efficient asynchronous federated neuromorphic learning of spiking neural networks |
|
Neurocomputing |
| Predicting the temporal-dynamic trajectories of cortical neuronal responses in non-human primates based on deep spiking neural network |
|
Cognitive Neurodynamics |
| Hybrid Spiking Fully Convolutional Neural Network for Semantic Segmentation |
|
Electronics |
| A Character-level Short Text Classification Model Based On Spiking Neural Networks |
|
IJCNN 2023 |
| CBMC: A Biomimetic Approach for Control of a 7-Degree of Freedom Robotic Arm |
|
Biomimetics |
| FABLE: A Development and Computing Framework for Brain-inspired Learning Algorithms |
|
IJCNN 2023 |
| Hybrid photonic deep convolutional residual spiking neural networks for text classification |
|
Optics Express |
| Energy-Efficient Spiking Segmenter for Frame and Event-Based Images |
|
Biomimetics |
| SPIDEN: deep Spiking Neural Networks for efficient image denoising |
|
Frontiers in Neuroscience |
| Batch normalization-free weight-binarized SNN based on hardware-saving IF neuron |
|
Neurocomputing |
| AC2AS: Activation Consistency Coupled ANN-SNN framework for fast and memory-efficient SNN training |
|
Pattern Recognition |
| Back to Homogeneous Computing: A Tightly-Coupled Neuromorphic Processor With Neuromorphic ISA |
|
IEEE Transactions on Parallel and Distributed Systems |
| Bioinspired Spiking Spatiotemporal Attention Framework for Lithium-Ion Batteries Capacity and RUL Prediction by Electrochemical Impedance Spectroscopy |
|
|
| Spiking neural network with working memory can integrate and rectify spatiotemporal features |
|
Frontiers in Neuroscience |
| CMOS-PCM Based Artificial Thermosensory Neuron for Bio-Inspired Sensing |
|
2023 IEEE 23rd International Conference on Nanotechnology (NANO) |
| SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence |
https://doi.org/10.5281/zenodo.8310901 |
Science Advances |
| Masked Spiking Transformer |
https://github.com/bic-L/Masked-Spiking-Transformer |
ICCV 2023 |
| Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks |
https://github.com/putshua/SNN_attack_RGA |
CVPR 2023 |
| Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks |
https://github.com/zhuyaoyu/SNN-temporal-training-losses |
NeurIPS 2023 |
| EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks |
https://openreview.net/attachment?id=OMDgOjdqoZ&name=supplementary_material |
NeurIPS 2023 |
| On-chip spiking neural networks based on add-drop ring microresonators and electrically reconfigurable phase-change materials photonic switches |
|
Photonics Research |
| Spiking Neural Network Enhanced Hand Gesture Recognition Using Low-Cost Single-photon Avalanche Diode Array |
https://github.com/zzy666666zzy/TinyLiDAR_NET_SNN |
|
| CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks |
|
|
| Towards Improved Imbalance Robustness in Continual Multi-Label Learning with Dual Output Spiking Architecture (DOSA) |
|
|
| Facial Expression Recognition Based on Convolutional Spiking Neural Network and STDP Fine-Tune |
|
|
| Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer |
|
|
| Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection |
|
|
| Efficient and Effective Time-Series Forecasting with Spiking Neural Networks |
|
|
| Efficient Structure Slimming for Spiking Neural Networks |
|
IEEE Transactions on Artificial Intelligence |
| Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning |
|
|
| Sampling complex topology structures for spiking neural networks |
https://github.com/stiger1000/Random-Sampling-SNN |
Neural Networks |
| Spikeformer: Training high-performance spiking neural network with transformer |
|
Neurocomputing |
| Multi-LRA: Multi logical residual architecture for spiking neural networks |
|
Information Sciences |
| Spiking-Detr: A Spike-Driven End-to-End Object Detection Framework on Spike-Form Data Streams Using Spiking-Transformer and Spiking Residual Learning |
https://github.com/JosephBH0622/Spiking-DETR |
|
| Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors |
|
LUND UNIVERSITY |
| Memory-Efficient Reversible Spiking Neural Networks |
https://github.com/mi804/RevSNN |
AAAI 2024 |
| Hierarchical Mapping of Large-Scale Spiking Convolutional Neural Networks Onto Resource-Constrained Neuromorphic Processor |
|
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
| Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network |
|
AAAI 2024 |
| Fast gradient-free activation maximization for neurons in spiking neural networks |
https://github.com/iabs-neuro/mango |
|
| Event-based Shape from Polarization with Spiking Neural Networks |
|
|
| Spiking Neural Networks for Active Time-Resolved SPAD Imaging |
|
WACV 2024 |
| Deep Pulse-Coupled Neural Networks |
|
|
| Optimizing skyrmionium movement and stability via stray magnetic fields in trilayer nanowire constructs |
|
Physical Chemistry Chemical Physics |
| Pursing the Sparse Limitation of Spiking Deep Learning Structures |
|
|
| Effective Surrogate Gradient Learning With High-Order Information Bottleneck for Spike-Based Machine Intelligence |
|
IEEE Transactions on Neural Networks and Learning Systems |
| RFI Detection with Spiking Neural Networks |
|
|
| A brain-inspired energy-efficient Wide Spiking Residual Attention Framework for intelligent fault diagnosis |
|
Reliability Engineering & System Safety |
| A two-stage spiking meta-learning method for few-shot classification |
|
Knowledge-Based Systems |
| Efficient Spiking Neural Architecture Search with Mixed Neuron Models and Variable Thresholds |
|
ICONIP 2023 |
| Rethinking Residual Connection in Training Large-Scale Spiking Neural Networks |
|
|
| OR Residual Connection Achieving Comparable Accuracy to ADD Residual Connection in Deep Residual Spiking Neural Networks |
|
|
| SUSHI: Ultra-High-Speed and Ultra-Low-Power Neuromorphic Chip Using Superconducting Single-Flux-Quantum Circuits |
|
MICRO 2023 |
| Tensor Decomposition Based Attention Module for Spiking Neural Networks |
|
Knowledge-Based Systems |
| Spiking Semantic Communication for Feature Transmission with HARQ |
|
|
| SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition |
|
|
| Enhancing neuromorphic computing with advanced spiking neural network architectures |
|
Universidad de Córdoba |
| Simple and Effective Visual Place Recognition via Spiking Neural Networks and Deep Information |
|
International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2023 |
| An efficient pruning and fine-tuning method for deep spiking neural network |
|
Applied Intelligence |
| Spike Camera Image Reconstruction Using Deep Spiking Neural Networks |
|
IEEE Transactions on Circuits and Systems for Video Technology |
| Autonomous Driving using Spiking Neural Networks on Dynamic Vision Sensor Data: A Case Study of Traffic Light Change Detection |
https://github.com/xueleichen/snn-dvs-carla |
|
| Bioinspired spiking spatiotemporal attention framework for lithium-ion batteries state-of-health estimation |
|
Renewable and Sustainable Energy Reviews |
| Spiking neural networks for embedded event-based vision |
|
Université Côte d'Azur |
| Hardware-Algorithm Co-design Enabling Processing-in-Pixel-in-Memory (P2M) for Neuromorphic Vision Sensors |
|
|
| Mitigating Overfitting for Deep Learning-based Aging-related Bug Prediction via Brain-inspired Regularization in Spiking Neural Networks |
|
International Symposium on Software Reliability Engineering Workshops (ISSREW), 2023 |
| Energy-Efficient Visual Search by Eye Movement and Low-Latency Spiking Neural Network |
|
|
| Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network |
|
|
| Efficient Privacy-Preserving Convolutional Spiking Neural Networks with FHE |
|
|
| Predicting the temporal-dynamic trajectories of cortical neuronal responses in non-human primates based on deep spiking neural network |
|
Cognitive Neurodynamics |
| Learning Spiking Neural Network from Easy to Hard task |
|
|
| Reconstruction of Adaptive Leaky Integrate-and-Fire Neuron to Enhance the Spiking Neural Networks Performance by Establishing Complex Dynamics |
|
IEEE Transactions on Neural Networks and Learning Systems |
| Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks |
|
|
| Back to Homogeneous Computing: A Tightly-Coupled Neuromorphic Processor With Neuromorphic ISA |
|
IEEE Transactions on Parallel and Distributed Systems |
| CBMC: A Biomimetic Approach for Control of a 7-Degree of Freedom Robotic Arm |
|
Biomimetics |
| Enhancing Robustness of Memristor Crossbar-Based Spiking Neural Networks against Nonidealities: A Hybrid Approach for Neuromorphic Computing in Noisy Environments |
|
Advanced Intelligent Systems |
| Efficient asynchronous federated neuromorphic learning of spiking neural networks |
|
Neurocomputing |
| A High-speed and Low-power FPGA Implementation of Spiking Convolutional Neural Network Using Logarithmic Quantization |
|
International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2023 |
| SDenseNet-An Improved DenseNet Model for Spiking Neural Networks |
|
Journal of Physics: Conference Series |
| Comparing energy efficiency of Leaky integrate-and-fire and Spike response neuron models in Spiking Neural Networks |
|
KTH Royal Institute of Technology |
| A neuromorphic physiological signal processing system based on VO2 memristor for next-generation human-machine interface |
|
Nature Communications |
| Event-based classification of defects in civil infrastructures with Artificial and Spiking Neural Networks |
|
International Work-Conference on Artificial Neural Networks, 2023 |
| NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems |
|
|
| Optimal ANN-SNN Conversion with Group Neurons |
https://github.com/Lyu6PosHao/ANN2SNN_GN |
ICASSP 2024 |
| SGLFormer: Spiking Global-Local-Fusion Transformer with high performance |
https://github.com/ZhangHanN1/SGLFormer |
Frontiers in Neuroscience 2024 |
| QKFormer: Hierarchical Spiking Transformer using Q-K Attention |
https://github.com/zhouchenlin2096/QKFormer |
|
| Methodology based on spiking neural networks for univariate time-series forecasting |
|
Neural Networks |
| A Unified Evaluation Framework for Spiking Neural Network Hardware Accelerators Based on Emerging Non-Volatile Memory Devices |
|
|
| SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Autonomous Agents |
|
|
| SDiT: Spiking Diffusion Model with Transformer |
|
|
| RepSViT: An Efficient Vision Transformer Based on Spiking Neural Networks for Object Recognition in Satellite On-Orbit Remote Sensing Images |
|
IEEE Transactions on Geoscience and Remote Sensing |
| Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ |
|
|
| A Unified Evaluation Framework for Spiking Neural Network Hardware Accelerators Based on Emerging Non-Volatile Memory Devices |
|
|
| A light-weight neuromorphic controlling clock gating based multi-core cryptography platform |
|
Microprocessors and Microsystems |
| 基于多维投影时空事件帧的动态视觉传感手势识别(Gesture Recognition for Dynamic Vision Sensor Based on Multi-dimensional Projection Spatiotemporal Event Frame) |
|
系统仿真学报 |
| Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification |
|
AAAI 2024 |
| EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks |
|
|
| Using spiking neural networks to assist fine art and philology study: to classify styles of Chinese calligraphy with minimal computing power |
|
ICLR 2024 Tiny Papers |
| Spiking Wavelet Transformer |
|
|
| A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention |
|
|
| A novel stochastic resonance based deep residual network for fault diagnosis of rolling bearing system |
|
ISA Transactions |
| Application of SNNS Model Based On Multi-Dimensional Attention In Drone Radio Frequency Signal Classification |
|
ICASSP 2024 |
| Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification |
|
|
| Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices |
|
|
| GET: Group Event Transformer for Event-Based Vision |
https://github.com/Peterande/GET-Group-Event-Transformer |
ICCV 2023 |
| Tensor decomposition based attention module for spiking neural networks |
https://github.com/RisingEntropy/PFA |
Knowledge-Based Systems |