2026-10-12T06:26:59Z https://data.mendeley.com/oai

oai:data.mendeley.com/p6pjf9k3nd.1 2026-09-14T09:46:12Z

Wu, Yefan Data for “When Coherence Resonance Does Not Predict Computation: Target-Weighted Capacity Predicts Noise-Optimal Readout Performance” Files Mendeley Data This dataset contains the final analysis-ready numerical outputs supporting the article “When Coherence Resonance Does Not Predict Computation: Target-Weighted Capacity Predicts Noise-Optimal Readout Performance.” It includes spontaneous coherence-resonance results, primitive capacity curves, observed mixed-target performance, prospectively committed additive predictions, noise-optimum and regret summaries, baseline and robustness analyses, data underlying the main figures and tables, and metadata associated with the prospective SHA-256 commitments. The deposit contains the final numerical data used for the reported analyses rather than full time-step membrane-voltage and spike trajectories. Source code is not included. Applied Mathematics Systems Neuroscience Machine Learning Dataset doi:10.17632/p6pjf9k3nd.1 oai:data.mendeley.com/p6pjf9k3nd.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/p6pjf9k3nd 2026-09-14T09:46:12Z