ArticleNature communications2020
Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
What it found
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The trial behind it
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Who cites it
46 citing papers in PubMed.
- Irregular and bursty neuronal firing extend spike-timing dependent plasticity window to behavioral timescales.iScience · 2026Article
- A nitride-based non-volatile memory enabled by electric-field-induced phase transition.Nature materials · 2026Article
- Realization of the Bienenstock-Cooper-Munro rule in a single memristor.Nature communications · 2026Article
- Homeostatic dendritic neuron based on co-integrated volatile and non-volatile memristors for neuromorphic processing.Nature communications · 2026Article
- Ferroelectric Devices for In-Memory and In-Sensor Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Intrinsic gradient oxygen-driven second-order memristors for continual reinforcement learning.Nature communications · 2026Article
- Multisensory Neuromorphic Devices: From Physics to Integration.Nano-micro letters · 2026Review
- Polymorphic functionalization driven by ion displacement-induced antiferroelectric ordering in CuBiP₂Se₆.Nature communications · 2025Article
- 2D Tellurene-Based Optoelectronic Memristor with Temporal Dynamics for Multimodal Reservoir Computing System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Bioinspired high-order in-sensor spatiotemporal enhancement in van der Waals optoelectronic neuromorphic electronics.Nature communications · 2025Article
- Advancing Flexible Optoelectronic Synapses and Neurons with MXene-Integrated Polymeric Platforms.Nanomaterials (Basel, Switzerland) · 2025Review
- Controlling the Digital to Analog and Multilevel Switching in Memristors Based on Zr-Doped HfOMaterials (Basel, Switzerland) · 2025Article
- Short-Term Bienenstock-Cooper-Munro Learning in Optoelectrically-Driven Flexible Halide Perovskite Single Crystal Memristors.Small methods · 2025Article
- Energy efficient multi-level memory using paper based second orderDiscover nano · 2025Article
- Resistive Switching Random-Access Memory (RRAM): Applications and Requirements for Memory and Computing.Chemical reviews · 2025Review
- Mechano-gated iontronic piezomemristor for temporal-tactile neuromorphic plasticity.Nature communications · 2025Article
- IGZO-Based Electronic Device Application: Advancements in Gas Sensor, Logic Circuit, Biosensor, Neuromorphic Device, and Photodetector Technologies.Micromachines · 2025Review
- Advances in Metal Halide Perovskite Memristors: A Review from a Co-Design Perspective.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Integration of CeOACS applied materials & interfaces · 2024Article
- Quantum Dots for Resistive Switching Memory and Artificial Synapse.Nanomaterials (Basel, Switzerland) · 2024Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The close replication of synaptic functions is an important objective for achieving a highly realistic memristor-based cognitive computation. The emulation of neurobiological learning rules may allow the development of neuromorphic systems that continuously learn without supervision. In this work, the Bienenstock-Cooper-Munro learning rule, as a typical case of spike-rate-dependent plasticity, is mimicked using a generalized triplet-spike-timing-dependent plasticity scheme in a WO
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.