Modeling triplet spike timing dependent plasticity using a hybrid TFT-memristor neuromorphic synapse
Summary
Modeling triplet spike timing dependent plasticity using a hybrid TFT-memristor neuromorphic synapse is a scholarly article[1].
Key Facts
Modeling triplet spike timing dependent plasticity using a hybrid TFT-memristor neuromorphic synapse's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Modeling triplet spike timing dependent plasticity using a hybrid TFT-memristor neuromorphic synapse. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-triplet-spike-timing-dependent-plasticity-using-a-hybrid-tft-memristor-neuromorphic-synapse
MLA“Modeling triplet spike timing dependent plasticity using a hybrid TFT-memristor neuromorphic synapse.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-triplet-spike-timing-dependent-plasticity-using-a-hybrid-tft-memristor-neuromorphic-synapse.
BibTeX@misc{4ortxyz_modeling-triplet-spike-timing-dependent-plasticity-using-a-hybrid-tft-memristor-neuromorphic-synapse_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling triplet spike timing dependent plasticity using a hybrid TFT-memristor neuromorphic synapse}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-triplet-spike-timing-dependent-plasticity-using-a-hybrid-tft-memristor-neuromorphic-synapse}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling triplet spike timing dependent plasticity using a hybrid TFT-memristor neuromorphic synapse — https://4ort.xyz/entity/modeling-triplet-spike-timing-dependent-plasticity-using-a-hybrid-tft-memristor-neuromorphic-synapse (retrieved 2026-05-24)
