Supplemental Data for a Compact Photonic Spiking Neuron with Inherent Stochasticity

Rui Yang provides a 17.0 MB ZIP file supplementing the paper 'Compact photonic spiking neuron with inherent stochasticity based on phase-change material for probabilistic computing'. The dataset was last updated on 2026-04-24 and is shared under a CC-BY-4.0 license on figshare. The specific data types and row counts are not detailed in the available metadata.

Use Cases

• Validate simulation models for photonic spiking neurons based on the described phase-change material system.
• Benchmark performance of probabilistic computing hardware architectures using the provided experimental or simulation data.
• Analyze the inherent stochasticity characteristics of the neuron design mentioned in the description.

Strengths

• Dataset is 17.0 MB in size, indicating a manageable download.
• Released under a permissive CC-BY-4.0 license for broad reuse.
• Has a specific update timestamp of 2026-04-24 14:54:57.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Rui Yang

Collection Method

Likely contains experimental or simulation data supporting the referenced academic paper.

Time Range

null

Freshness

Last updated 2026-04-24 14:54:57; freshness should be verified.

Geography

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