Accuracy of different electrical and optical neural networks for various input noise levels. حسب Reyhane Ahmadi (14857363)

الموضوعات:

Processing results and code. حسب Lei Wang (6656)

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

الموضوعات:

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

GA pseudo-code. حسب Jianpeng Zhang (528185)

Comparison of grayscale conversion algorithms. حسب Tianke Fang (22648035)

Comparison of noise reduction algorithms. حسب Tianke Fang (22648035)

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

"…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …"

Code and data for the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms" حسب Noelle Madyson Daigle (22120114)

"…<p dir="ltr">Code and data for analysis detailed in the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms." …"

Performance of algorithms outside the training species. حسب Sven B. Gould (12237287)

The source code of LazyAct. حسب Hongjie Zhang (136127)

"…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. Code is available here <a href="https://www.dropbox.com/scl/fo/wyoqo6q9gyt86zobfgbvx/h?…"

a. How various statistical models account for modulation classification performance across the entire dataset. حسب Chris Scholes (3309477)

A framework for improving localisation prediction algorithms. حسب Sven B. Gould (12237287)

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

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

Code used for data analysis in this study. حسب Nourin Sultana (22339463)