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        <datestamp>2026-09-15T18:32:53Z</datestamp>
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          <dc:title>MEEGNet: An open source Python library for the application of convolutional neural networks to MEG</dc:title>
          <dc:creator>Arthur Dehgan (24799219)</dc:creator>
          <dc:subject>Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)</dc:subject>
          <dc:subject>Artificial intelligence not elsewhere classified</dc:subject>
          <dc:subject>Machine learning not elsewhere classified</dc:subject>
          <dc:subject>Machine Learning</dc:subject>
          <dc:subject>electrophysiology (EEG)</dc:subject>
          <dc:subject>Magnetoencephalography (MEG)</dc:subject>
          <dc:subject>Electroencephalography (EEG)</dc:subject>
          <dc:subject>Python Library</dc:subject>
          <dc:subject>Open-Source Library</dc:subject>
          <dc:subject>Deep Learning</dc:subject>
          <dc:subject>Neural Networks</dc:subject>
          <dc:subject>BCI</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;All files needed to reproduce figures from the MEEGNet paper. &lt;br&gt;&lt;br&gt;Instructions:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;The saliency_maps.tar.gz archive should remain at the root of the github project once cloned.&lt;/li&gt;&lt;li&gt;The optputs folder should keep its structure for the notebooks to find the .mat files that contain tracker information from training.&lt;/li&gt;&lt;li&gt;The pre-trained model for the Auditory vs Visual Stimulus classification task (.pt with .mat files) should remain at the root of the repository for the gradcam and saliency maps notebooks to run correclty.&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;/p&gt;</dc:description>
          <dc:date>2026-09-15T18:32:53Z</dc:date>
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