Reference health
Spiking neural networks based on two-dimensional materials
30/30 checkable references clean · checked 2026-07-23
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
4 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 30 checked references that resolve
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An Electronic Synapse Device Based on Metal Oxide Resistive Switching Memory for Neuromorphic Computation
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Equivalent-accuracy accelerated neural-network training using analogue memory
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A million spiking-neuron integrated circuit with a scalable communication network and interface
resolves10.1038/ncomms3072
Pattern classification by memristive crossbar circuits using ex situ and in situ training
resolves10.1038/nature14441
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
resolves10.1109/MCAS.2021.3092533
Compute-in-Memory Chips for Deep Learning: Recent Trends and Prospects
resolves10.3389/fncom.2021.646125
Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update
resolves10.1038/s41467-018-07572-5
Artificial optic-neural synapse for colored and color-mixed pattern recognition
resolves10.1038/s41928-020-00473-w
Wafer-scale integration of two-dimensional materials in high-density memristive crossbar arrays for artificial neural networks
resolves10.1038/srep04906
Activity-Dependent Synaptic Plasticity of a Chalcogenide Electronic Synapse for Neuromorphic Systems
resolves10.1021/acsnano.1c05565
A Scalable Artificial Neuron Based on Ultrathin Two-Dimensional Titanium Oxide
resolves10.1109/LED.2020.2988247
2D MoS<sub>2</sub>-Based Threshold Switching Memristor for Artificial Neuron
resolves10.1038/s41467-018-07757-y
Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits
resolves10.1038/s41928-021-00672-z
The development of integrated circuits based on two-dimensional materials
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Variability and Yield in h‐BN‐Based Memristive Circuits: The Role of Each Type of Defect
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Mimicking the spike-timing dependent plasticity in HfO2-based memristors at multiple time scales
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BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python
The 4 references without a DOI — listed, not checked
no DOI — not checkedZhao, Z. et al. Spiking neural network with high scalability and learning efficiency. IEEE Trans. Circ. Syst. II: Express Briefs 67, 931–935 (2020).
no DOI — not checkedLeCun, Y., Cortes, C., & Burges, C. MNIST handwritten Digit Database. ATT Labs [Online] http://yann.lecun.com/exdb/mnist (2010). Accessed on 7 January 2021.
no DOI — not checkedDiehl, P. U. & Cook, M. Unsupervised learning of digit recognition using spike-timing-dependent plasticity. Front. Comp. Neurosci. 9, 1662–5188 (2015).
no DOI — not checkedPaszke, A. et al. Automatic differentiation in Py-Torch., 31st Conf. on Neur. Inform. Proc. Syst. (NIPS 2017). (NIPS, 2017).
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