Methods › SNN
Spiking Neural Networks
SNN
Introduced by Günter Klambauer et al. in Self-Normalizing Neural Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Spiking Neural Networks (SNNs) are a class of artificial neural networks inspired by the structure and functioning of the brain's neural networks. Unlike traditional artificial neural networks that operate based on continuous firing rates, SNNs simulate the behavior of individual neurons through discrete spikes or action potentials. These spikes are triggered when the neuron's membrane potential reaches a certain threshold, and they propagate through the network, communicating information and triggering subsequent neuron activations. This spike-based communication allows SNNs to capture the temporal dynamics of information processing and exhibit asynchronous, event-driven behavior, making them well-suited for tasks such as temporal pattern recognition, event detection, and real-time processing. SNNs have gained attention due to their potential in efficiently processing and encoding information, offering advantages in energy efficiency, robustness, and compatibility with neuromorphic hardware architectures.
Papers archive 2025-07-28
30 shown of 363, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Efficient Deployment of Spiking Neural Networks on SpiNNaker2 for DVS Gesture Recognition Using Neuromorphic Intermediate Representation 4 Sep 2025 · 1 repository
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Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing 25 Jun 2025 · 0 repositories · arXiv:2506.20782
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NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning 17 Jun 2025 · 0 repositories · arXiv:2506.14138
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Probabilistic Modeling of Spiking Neural Networks with Contract-Based Verification 16 Jun 2025 · 0 repositories · arXiv:2506.13340
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FeNN: A RISC-V vector processor for Spiking Neural Network acceleration 13 Jun 2025 · 0 repositories · arXiv:2506.11760
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Integration of Contrastive Predictive Coding and Spiking Neural Networks 10 Jun 2025 · 1 repository · arXiv:2506.09194
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Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks -- Influence of the Learning Rules 7 Jun 2025 · 0 repositories · arXiv:2506.06750
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SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems 3 Jun 2025 · 0 repositories · arXiv:2506.03450
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Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control 30 May 2025 · 0 repositories · arXiv:2505.24161
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Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing 28 May 2025 · 1 repository · arXiv:2505.22035
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Energy-Efficient Deep Reinforcement Learning with Spiking Transformers 20 May 2025 · 0 repositories · arXiv:2505.14533
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Spiking Neural Networks with Random Network Architecture 19 May 2025 · 1 repository · arXiv:2505.13622
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SPKLIP: Aligning Spike Video Streams with Natural Language 19 May 2025 · 0 repositories · arXiv:2505.12656
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Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-Constrained Pruning 18 May 2025 · 0 repositories · arXiv:2505.12281
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Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware 18 May 2025 · 0 repositories · arXiv:2505.12221
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SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks 18 May 2025 · 0 repositories · arXiv:2505.12292
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Towards Robust Spiking Neural Networks:Mitigating Heterogeneous Training Vulnerability via Dominant Eigencomponent Projection 16 May 2025 · 0 repositories · arXiv:2505.11134
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Energy efficiency analysis of Spiking Neural Networks for space applications 16 May 2025 · 0 repositories · arXiv:2505.11418
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Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks 16 May 2025 · 0 repositories · arXiv:2505.10909
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SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and 𝒪(T) Complexity 15 May 2025 · 1 repository · arXiv:2505.10352Syntology ran 0 of 4 samples · 4 unverified
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LAS: Loss-less ANN-SNN Conversion for Fully Spike-Driven Large Language Models 14 May 2025 · 1 repository · arXiv:2505.09659
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Efficient, simulation-free estimators of firing rates with Markovian surrogates 13 May 2025 · 0 repositories · arXiv:2505.08254
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CogniSNN: A First Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Expandability and Neuroplasticity 9 May 2025 · 0 repositories · arXiv:2505.05992
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ADMM-Based Training for Spiking Neural Networks 8 May 2025 · 0 repositories · arXiv:2505.05527
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TS-SNN: Temporal Shift Module for Spiking Neural Networks 7 May 2025 · 0 repositories · arXiv:2505.04165
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PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation 3 May 2025 · 0 repositories · arXiv:2505.01730
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Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks 29 Apr 2025 · 0 repositories · arXiv:2504.20445
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Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN 24 Apr 2025 · 0 repositories · arXiv:2504.17751
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A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification 23 Apr 2025 · 0 repositories · arXiv:2504.17819
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Efficient Spiking Point Mamba for Point Cloud Analysis 19 Apr 2025 · 0 repositories · arXiv:2504.14371
Tasks archive 2025-07-28
20 shown of 190 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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