Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…"

Summary of currently used data sets on lie detection. حسب Dmitri Bershadskyy (14684464)

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PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. حسب Yuxi Long (11024307)

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The relevant data file for this article. حسب Linsha Liu (20378293)

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

Results of machine learning algorithm. حسب Balraj Preet Kaur (20370832)

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The superiority of the proposed approach compared to the current state-of-the-art algorithms. حسب Ailian Gao (20629841)

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ROC comparison of machine learning algorithm. حسب Balraj Preet Kaur (20370832)

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Relevant computed image data. حسب Zhaoyu Ku (20660546)

Data and code resources. حسب Sam Hall-McMaster (10343795)

Summary of relevant works. حسب Bashir Olaniyi Sadiq (22478011)

The relevant code in the manuscript can be found in the supporting information data file. حسب Xini Fang (20861990)

Model-relevant variable data for external patients. حسب Lei Gao (6566)

Relevant data underlying the findings described in manuscript. حسب Lin Qi (128224)

Data generation algorithm. حسب Aluwani Ramalata (21262977)

Relevant Parameters. حسب Dongyan Wang (195482)

Trainable parameters for different algorithms. حسب Anwar Hossain Efat (19942283)

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

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The genome coding scheme. حسب Wenbing Shi (5806160)

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Quantity of data sources. حسب Christina Halmich (21637790)

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