Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks by 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).…”

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

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

“…Neither model-free perseveration or model-based control using a complete model of the environment could explain choice behavior. …”

Performance of different machine learning algorithms. by Apichat Suratanee (634281)

Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

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Results of RF algorithm screening factors. by Jintao Li (448681)

Relevant Parameters. by Dongyan Wang (195482)

“…A genetic algorithm is designed to solve this model. To verify the effectiveness of the model, we select the contact network insulators of Chinese J Intercity Railway as the case study subject. …”

Comparison of optical and silicon-based neural network implementations. by Reyhane Ahmadi (14857363)

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Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

The folder containing the code is provided as supportive documentation associated with this paper. by Quxi Kuang (22493270)

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Comparison of power consumption in optical and silicon-based neural network implementations. by Reyhane Ahmadi (14857363)

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

Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

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

Hardware_code. by Mehdi Nadiri Andabili (22097275)

“…In this paper, the modified Fitzhugh-Nagumo (FHN) model is proposed based on Coordinate Rotation Digital Computer (CORDIC) algorithm to emulate biological behaviors of the original neuron model. …”

Software_code. by Mehdi Nadiri Andabili (22097275)

“…In this paper, the modified Fitzhugh-Nagumo (FHN) model is proposed based on Coordinate Rotation Digital Computer (CORDIC) algorithm to emulate biological behaviors of the original neuron model. …”

Construction and validation of the risk model based on MRGs. by Xuefen Lin (17785367)

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The genome coding scheme. by Wenbing Shi (5806160)

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Definitions of relevant SSA parameters. by Yeping Shi (14279118)

“…In tests comparing the performance of the SSA-BPNN, support vector machine (SVM), and random forest (RF) models, the SSA-BPNN achieves a 99.1% classification accuracy, better than the SVM and RF models. …”