"Fixed\u2011Seed Benchmark Data for STDP Proxy and Hybrid Local Readouts in Spiking Encoders"
收藏DataCite Commons2026-02-28 更新2026-05-03 收录
下载链接：
https://ieee-dataport.org/documents/fixed-seed-benchmark-data-stdp-proxy-and-hybrid-local-readouts-spiking-encoders
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资源简介：
"This dataset provides fixed-seed benchmark artifacts for evaluating local-learning methods in spiking encoders. It supports reproducible comparison of an STDP-inspired competitive proxy and a hybrid local rate-readout model under controlled protocols. Included artifacts cover baseline results, ablation studies, norm\u2013reward interaction summaries, split-robustness checks, synthetic temporal diagnostics, and OpenML MNIST external checks. The package contains raw per-seed CSV outputs, generated manuscript-ready tables, and associated figures used for analysis and reporting. All experiments follow explicit split and seed contracts to enable exact reruns and transparent verification of means, standard deviations, and contrast metrics. The dataset is intended for researchers studying biologically motivated learning rules, stabilization heuristics, reward shaping, and reproducible benchmarking in spiking and neuromorphic machine learning workflows."
提供机构：
IEEE DataPort
创建时间：
2026-02-28
