mlsanityData to 14 Oct 2026

An Analytical Estimation of Spiking Neural Networks Energy Efficiency

arXiv 2210.13107 ↗First posted 24 Oct 2022cs.ARcited by 38

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Abstract (arXiv)

Spiking Neural Networks are a type of neural networks where neurons communicate using only spikes. They are often presented as a low-power alternative to classical neural networks, but few works have proven these claims to be true. In this work, we present a metric to estimate the energy consumption of SNNs independently of a specific hardware. We then apply this metric on SNNs processing three different data types (static, dynamic and event-based) representative of real-world applications. As a result, all of our SNNs are 6 to 8 times more efficient than their FNN counterparts.

Key facts. Cited by 38 papers in the map (data through 14 Oct 2026). First posted on arXiv 24 Oct 2022.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 8; 2024: 9; 2025: 8; 2026: 13.

38 papers.

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  1. 2023SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligencecited by 169
  2. 2023NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systemscited by 27
  3. 2023ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networkscited by 23
  4. 2023Learning Long Sequences in Spiking Neural Networkscited by 19
  5. 2024Training Machine Learning models at the Edge: A Surveycited by 11
  6. 2024Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detectioncited by 8
  7. 2023Neuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regressioncited by 6
  8. 2023Deep Multi-Threshold Spiking-UNet for Image Processingcited by 5
  9. 2024Detection of Fast-Moving Objects with Neuromorphic Hardwarecited by 4
  10. 2025Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Timecited by 4
  11. 2025Spiking monocular event based 6D pose estimation for space applicationcited by 3
  12. 2025Underwater Image Enhancement by Convolutional Spiking Neural Networkscited by 3
26 more
  1. 2026Event-Driven Neuromorphic Vision Enables Energy-Efficient Visual Place Recognitioncited by 3
  2. 2024Neuromorphic Event-Driven Semantic Communication in Microgridscited by 2
  3. 2024A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillationcited by 2
  4. 2024Embedded event based object detection with spiking neural networkcited by 2
  5. 2024Enabling Energy-Efficient Simultaneous Multi-Task Reinforcement Learning through Spiking Neural Networks with Active Dendrites for Bio-inspired Generalist Agentscited by 2
  6. 2023An Inherent Trade-Off in Noisy Neural Communication with Rank-Order Codingcited by 1
  7. 2023Neuroscience inspired scientific machine learning (Part-2): Variable spiking wavelet neural operatorcited by 1
  8. 2024A Cloud-Edge Framework for Energy-Efficient Event-Driven Control: An Integration of Online Supervised Learning, Spiking Neural Networks and Local Plasticity Rulescited by 1
  9. 2025Enhanced Neuromorphic Semantic Segmentation Latency through Stream Eventcited by 1
  10. 2025FFGAF-SNN: The Forward-Forward Based Gradient Approximation Free Training Framework for Spiking Neural Networkscited by 1
  11. 2025Hardware-aware vs. Hardware-agnostic Energy Estimation for SNN in Space Applicationscited by 1
  12. 2024On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networkscited by 0
  13. 2025Towards efficient keyword spotting using spike-based time difference encoderscited by 0
  14. 2025All in one timestep: Enhancing Sparsity and Energy efficiency in Multi-level Spiking Neural Networkscited by 0
  15. 2026Line-based Event Preprocessing: Towards Low-Energy Neuromorphic Computer Visioncited by 0
  16. 2026UltraLIF: Fully Differentiable Spiking Neural Networks via Ultradiscretization and Max-Plus Algebracited by 0
  17. 2026Federated Learning of Spiking Neural Networks under Heterogeneous Temporal Resolutionscited by 0
  18. 2026SpikeReg: Energy-Efficient 3D Deformable Medical Image Registration with Spiking Neural Networkscited by 0
  19. 2026PrimeSVT: An Automated Memory-aware Pruning Framework with Prioritized Compression Policy for Spiking Vision Transformerscited by 0
  20. 2026SpikF-GO: Spiking Fourier Graph Operators for Multivariate Time Series Forecastingcited by 0
  21. 2026A Neuromorphic Trigger for Efficient Audio Event Detectioncited by 0
  22. 2026Active Spiking Perception: The Membrane Potential as a Belief State for Anytime 3D Point Cloud Recognitioncited by 0
  23. 2026Towards an Expressivity-Normalized Energy-Demand Comparison of ANNs and SNNscited by 0
  24. 2026REACT: A Fully Spiking State-Space Model for Real-Time Event-Driven Temporal Perceptioncited by 0
  25. 2026Event-Frame Fusion for Inter-Frame Segmentation via Event-Guided Motioncited by 0
  26. 2026DS-VLA: A Dendritic-inspired Vision-Language-Action Model for Robust Action Controlcited by 0