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

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

“…Decoding from functional magnetic resonance imaging data revealed that solutions from the SF&GPI algorithm were activated on test tasks in visual and prefrontal cortex. …”

CY45-0.5/1#9 Code file for data processing and prediction results. by Yanhua Xian (21417128)

Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

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The CGO risk prediction process based on data augmentation and neuroevolution. by Wenbing Shi (5806160)

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The construction process of the CGO prediction model. by Wenbing Shi (5806160)

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Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets. by Reyhane Ahmadi (14857363)

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Algorithm process. by Wei Cui (92129)

GA pseudo-code. by Jianpeng Zhang (528185)

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The Search process of the genetic algorithm. by Wenguang Li (6528113)

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Pseudo-code for the study design model. by Jianpeng Zhang (528185)

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The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

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Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data. by Daniel Suárez-Barrera (22676654)

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Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings. by Daniel Suárez-Barrera (22676654)

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Spatiotemporal spike sorting on multi-electrode array (MEA) data: Uniform Manifold Approximation and Projection (UMAP) vs. SpyKING CIRCUS (SC). by Daniel Suárez-Barrera (22676654)

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Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information. by Daniel Suárez-Barrera (22676654)

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Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification. by Daniel Suárez-Barrera (22676654)

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Computational Domain: The computational domain was discretized using conformal tetrahedral elements, resulting in a total of 926K elements. by Martina Bukač (20161460)

Multi-sensor fusion process and algorithm workflow. by Hongliang Zou (20707270)