| 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 |
|
| 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 |
|
|
| 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 |
|
| 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 |
|
|
| 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 |