Home › Entities › academia › lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents

lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents

Research article (2022 International Joint Conference on Neural Networks (IJCNN), 2022) · cited 13× · AI/ML
academia openalex:W4312734020
Press Enter · cited answer in seconds

lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents

Summary

lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents is a scholarly article[1].

Key Facts

  • lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. Retrieved May 24, 2026, from https://4ort.xyz/entity/lpspikecon-enabling-low-precision-spiking-neural-network-processing-for-efficient-unsupervised-continual-learning-on-aut
MLA “lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lpspikecon-enabling-low-precision-spiking-neural-network-processing-for-efficient-unsupervised-continual-learning-on-aut.
BibTeX @misc{4ortxyz_lpspikecon-enabling-low-precision-spiking-neural-network-processing-for-efficient-unsupervised-continual-learning-on-aut_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents}}, year = {2026}, url = {https://4ort.xyz/entity/lpspikecon-enabling-low-precision-spiking-neural-network-processing-for-efficient-unsupervised-continual-learning-on-aut}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents — https://4ort.xyz/entity/lpspikecon-enabling-low-precision-spiking-neural-network-processing-for-efficient-unsupervised-continual-learning-on-aut (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/lpspikecon-enabling-low-precision-spiking-neural-network-processing-for-efficient-unsupervised-continual-learning-on-aut · Last refreshed: