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Research map / Architectures and efficiency / Spiking networks

Bio-inspired spiking neuron models

Designs neuron models with compartments, resonance, and plasticity for long-term temporal modeling.

22 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026) · an approach in Spiking networks, keyword cluster “neurons · biological · neuronal”

State History Tried Checklist Preprints Who Export

Where it stands

Not enough benchmark data Fewer than four papers report the same benchmark, so there is no record to follow.

8 papers in 2023–24 and 7 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic shrank, from 11.0% to 4.5%.

How this is decided

A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.

How it got here

2016: 1162017: 1172018: 0182019: 0192020: 1202021: 1212022: 3222023: 3232024: 5242025: 4252026: 326

Most cited paper of each year

Earliest papers here

What has been tried

19 papers here report 196 measured changes (a component added, removed or swapped, compared with a baseline): helped 65%, no clear effect 9%, hurt 22%, mixed 4%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
Add the proposed knowledge distillation (KD) trainingGLUE datasets · accuracy4% to 5%HelpedSpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation (AAAI 2024 · 46 citations)
initialize beta1, beta2 to (-0.2, 0.8)S-MNIST · test accuracy (%)99.20 -> 89.36HurtTC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling (AAAI 2024 · 26 citations)
Add the spiking-threshold regularization L_vsurface reconstruction · Chamfer distanceHelpedSpiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation (AAAI 2024 · 10 citations)
Add the surrogate gradientLRA Text test · accuracy70.90 -> 81.20HelpedP-SPIKESSM: HARNESSING PROBABILISTIC SPIKING STATE SPACE MODELS FOR LONG-RANGE DEPENDENCY TASKS (ICLR 2025 · 5 citations)
Add a refractory period and smooth resetRF neuron simulation · SOPsHelpedBalanced Resonate-and-Fire Neurons (ICML 2024 · 3 citations)
add RF-PLC instead of FT-based ITD extractionSLoClas · accuracyNo clear effectSpike-based Neuromorphic Model for Sound Source Localization (NeurIPS 2024 · 2 citations)
Add SCP to PDPant_dir · reward3284 ± 570 -> 6904 ± 801HelpedLearning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks (NeurIPS 2025 · 0 citations)
add adaptive thresholdS-CIFAR10 · accuracy83.9 -> 84.3HelpedDendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling (NeurIPS 2025)

What reviewers will expect

Datasets and baselines named in the 5 papers of this approach from 2025–2026 that have a full-text summary. Leaving out the common ones is a frequent review question.

Datasets

  • Long Range Arena (ListOps, Text, Retrieval, Image, Pathfinder) · 2 of 5 papers
  • psMNIST · 2 of 5 papers

Baselines

  • S4 · 2 of 5 papers
  • Binary S4D · 2 of 5 papers
  • Transformer · 2 of 5 papers

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 15 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 21 key papersOpen the topic in the interactive map

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    Same keyword cluster

    Elsewhere in the topic

    Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).

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