Research map / Architectures and efficiency
Spiking networks: research map
289 accepted papers on Spiking networks in Architectures and efficiency, from ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026), grouped into 2 clusters and 5 approaches. The busiest year so far is 2026.
Within Architectures and efficiency, its share held steady from 3.7% in 2023–24 to 4.4% in 2025–26 (73 → 155 papers at ICML, NeurIPS, CVPR and AAAI, the venues with data for all four years).
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Approaches and key papers
snn · energy · ann · 241 papers
Approaches in this cluster:
- Training deep spiking networks (141 papers)
Trains spiking neural networks with implicit differentiation, distillation, calibration, and energy-efficient search. - Spiking transformers (87 papers)
Adapts transformer architectures to spiking networks with token sparsification and ANN-to-SNN conversion. - Event-camera spiking networks (13 papers)
Processes event-camera data asynchronously with spiking and point-based neural networks.
Most cited and most cited since 2024:
- A Low Power, Fully Event-Based Gesture Recognition System (CVPR 2017 · 978 citations)
- Going Deeper With Directly-Trained Larger Spiking Neural Networks (AAAI 2021 · 504 citations)
- SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks (CVPR 2024 · 82 citations)
- Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks (AAAI 2024 · 44 citations)
neurons · biological · neuronal · 48 papers
Approaches in this cluster:
- Sparse efficient spiking sequence models (26 papers)
Builds sparse, multiplication-free, and state-space spiking networks for sequence modeling. - Bio-inspired spiking neuron models (22 papers)
Designs neuron models with compartments, resonance, and plasticity for long-term temporal modeling.
Most cited and most cited since 2024:
- Long short-term memory and Learning-to-learn in networks of spiking neurons (NeurIPS 2018 · 53 citations)
- SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation (AAAI 2024 · 46 citations)
- TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling (AAAI 2024 · 26 citations)
- SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models (AAAI 2025 · 10 citations)
Related topics in Architectures and efficiency
- Pruning and efficient tuning (1,147)
- Attention and transformers (2,296)
- Neural architecture search (380)
- Quantization (646)
- RNNs and normalization (2,827)
- Mixture of experts (300)
- CNN design (853)
