神经形态计算论文趋势 2023–2026

主要结论

• 神经形态计算论文从 2023 年的 18 篇增长到 2026 年的 35 篇，三年间扩大到约 1.9 倍。
• NeurIPS 是发神经形态计算论文最多的会议，2023–2026 年共 34 篇，占四个会议总量的 37%。
• 交叉方向里涨得最快的是应用 · neuroscience and cognitive science：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 12 篇。
• 在「量子与其他」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的光学计算是 1.2 倍，神经形态计算是 1.9 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026Algebraic Machine Learning: learning as computing subsets of the subdirect decomposition from Abstract Algebra
• ICML 2026Equilibrium Propagation for Non-Conservative Systems
• ICLR 2026Beyond Linear Processing: Dendritic Bilinear Integration in Spiking Neural Networks
• CVPR 2026Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
• NeurIPS 2025Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers
• ICML 2025Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
• ICLR 2025Quantized Spike-driven Transformer
• CVPR 2025Spiking Transformer with Spatial-Temporal Attention
• NeurIPS 2024LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication
• ICML 2024Robust Stable Spiking Neural Networks
• ICLR 2024Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
• CVPR 2024DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses
• NeurIPS 2023Computing Approximate $\ell_p$ Sensitivities
• ICML 2023Dynamics-inspired Neuromorphic Visual Representation Learning
• ICLR 2023A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance
• CVPR 2023Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks
• NeurIPS 2026Computing All Optimal Partial $p$-Wasserstein Matchings on the Line
• ICML 2026Event2Vec: Processing neuromorphic events directly by representations in vector space
• ICLR 2026Breaking Gradient Temporal Collinearity for Robust Spiking Neural Networks
• CVPR 2026SDTrack A Baseline for Event-based Tracking via Spiking Neural Networks

全部神经形态计算论文

共 92 篇，第 1 / 2 页

1. CVPR 2026Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
2. CVPR 2026SDTrack A Baseline for Event-based Tracking via Spiking Neural Networks
3. ICLR 2026A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks
4. ICLR 2026Accelerating Inference for Multilayer Neural Networks with Quantum Computers
5. ICLR 2026Advancing Spatiotemporal Representations in Spiking Neural Networks via Parametric Invertible Transformation
6. ICLR 2026Beyond Linear Processing: Dendritic Bilinear Integration in Spiking Neural Networks
7. ICLR 2026Breaking Gradient Temporal Collinearity for Robust Spiking Neural Networks
8. ICLR 2026Computing Equilibrium beyond Unilateral Deviation
9. ICLR 2026Difference Predictive Coding for Training Spiking Neural Networks
10. ICLR 2026LiFR-Seg: Anytime High-Frame-Rate Segmentation via Event-Guided Propagation
11. ICLR 2026Many Eyes, One Mind: Temporal Multi-Perspective and Progressive Distillation for Spiking Neural Networks
12. ICLR 2026Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
13. ICLR 2026PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks
14. ICLR 2026Robustify Spiking Neural Networks via Dominant Singular Deflation under Heterogeneous Training Vulnerability
15. ICLR 2026SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network
16. ICLR 2026Spiking Discrepancy Transformer for Point Cloud Analysis
17. ICLR 2026Training Deep Normalization-Free Spiking Neural Networks with Lateral Inhibition
18. ICML 2026Equilibrium Propagation for Non-Conservative Systems
19. ICML 2026Event2Vec: Processing neuromorphic events directly by representations in vector space
20. ICML 2026LIF Recurrent Memory Enables Long-Horizon Spiking Computation
21. ICML 2026Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation
22. ICML 2026Spik4lite: Refactoring Neuromorphic Sparsity for Efficient Spiking Neural Networks on Commodity Edge Devices
23. ICML 2026Temporal Weighted Encoding: Towards Maximal-Capacity Spike Coding for ANN–SNN Conversion
24. ICML 2026UltraLIF: Fully Differentiable Spiking Neural Networks via Ultradiscretization and Max-Plus Algebra
25. ICML 2026Zeroth-Order Forward-Only SNN Training Inspiring Neuromorphic On-Chip Learning
26. NeurIPS 2026Algebraic Machine Learning: learning as computing subsets of the subdirect decomposition from Abstract Algebra
27. NeurIPS 2026Beyond Low-Pass Dynamics: Frequency-Selective Spiking Reservoirs with Resonant Neurons
28. NeurIPS 2026Computing All Optimal Partial $p$-Wasserstein Matchings on the Line
29. NeurIPS 2026Dimension Bounds for Contractive Reservoir Computing from Input Entropy
30. NeurIPS 2026Efficient Training of Deep Spiking Neural Networks with Input-Driven Derivative-Free Updates
31. NeurIPS 2026HPC-Bench: A Comprehensive Benchmark for High Performance Computing Codes
32. NeurIPS 2026Learning to play with spikes. Characterizing, predicting, and engineering unsupervised plasticity rules for spiking reservoir computing
33. NeurIPS 2026Precision As You Need: Stochastic Computing Is a Dense Adaptive Quantizer
34. NeurIPS 2026Spik-NeRF v2: Pushing the Limit of Spiking Neural Radiance Fields with $ \pm $I-LIF
35. NeurIPS 2026Spiking neural network initialization for scale-invariant maximization of entropy
36. CVPR 2025Rethinking Spiking Self-Attention Mechanism: Implementing a-XNOR Similarity Calculation in Spiking Transformers
37. CVPR 2025Spiking Transformer with Spatial-Temporal Attention
38. CVPR 2025STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks
39. ICLR 2025QP-SNN: Quantized and Pruned Spiking Neural Networks
40. ICLR 2025Quantized Spike-driven Transformer
41. ICLR 2025Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
42. ICLR 2025SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
43. ICML 2025Computing Voting Rules with Improvement Feedback
44. ICML 2025Efficient ANN-SNN Conversion with Error Compensation Learning
45. ICML 2025Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
46. ICML 2025Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
47. ICML 2025Training High Performance Spiking Neural Network by Temporal Model Calibration
48. ICML 2025TS-SNN: Temporal Shift Module for Spiking Neural Networks
49. NeurIPS 2025Bounds on the computational complexity of neurons due to dendritic morphology
50. NeurIPS 2025FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing

常见问题

2023–2026 年四大会议一共有多少篇神经形态计算论文？

共 92 篇，按年份分别是 2023 年 18 篇、2024 年 19 篇、2025 年 20 篇、2026 年 35 篇。

NeurIPS 2026 有多少篇神经形态计算论文？

NeurIPS 2026 有 10 篇神经形态计算论文，上一届是 7 篇。

ICLR 2026 有多少篇神经形态计算论文？

ICLR 2026 有 15 篇神经形态计算论文，上一届是 4 篇。

ICML 2026 有多少篇神经形态计算论文？

ICML 2026 有 8 篇神经形态计算论文，上一届是 6 篇。

CVPR 2026 有多少篇神经形态计算论文？

CVPR 2026 有 2 篇神经形态计算论文，上一届是 3 篇。

哪个会议的神经形态计算论文最多？

NeurIPS，2023–2026 年共 34 篇。