https://cucai.ca/2025/papers/Z4qLVA

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1<title>Accessible EEG Classification with Attention-Based Neural Networks | CUCAI 2025</title><meta name="description" content="To mitigate problems with noisy electroencephalogram (EEG) data and financially inaccessible medical-grade EEG devices, we present 2 NLP-inspired attention-based neural networks to improve classification accuracy, tested on 3 unique datasets."/><meta name="citation_title" content="Accessible EEG Classification with Attention-Based Neural Networks"/><meta name="citation_author" content="Mercy Doan"/><meta name="citation_author" content="Leopold Ehrlich"/><meta name="citation_author" content="Daryan Fadavi"/><meta name="citation_author" content="Arya Farivar"/><meta name="citation_author" content="Colin McLaughlin"/><meta name="citation_conference_title" content="CUCAI 2025 Proceedings"/><meta name="citation_publication_date" content="2025/03/26"/><meta name="citation_pdf_url" content="https://oamtsptxvibjauhz.public.blob.vercel-storage.com/CUCAI_2025_EEG.pdf"/><meta name="citation_abstract" content="To mitigate problems with noisy electroencephalogram (EEG) data and financially inaccessible medical-grade EEG devices, we present 2 NLP-inspired attention-based neural networks to improve classification accuracy, tested on 3 unique datasets."/><link rel="icon" href="/favicon.ico" type="image/x-icon" sizes="48x48"/>

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1</head><body class="font-sans"><html lang="en"><head></head><body class="font-body"><div class="min-h-screen"><header class="flex flex-wrap items-center justify-between gap-4 px-6 py-4 md:px-12"><a class="text-lg font-semibold text-white drop-shadow" href="/2025">CUCAI 2025 Archive</a><nav class="flex items-center gap-3 text-sm font-semibold text-white/90"><a class="rounded-full px-3 py-1 transition hover:text-white" href="/2025">Home</a><a class="rounded-full bg-white/20 px-3 py-1 text-white" href="/2025/papers">Papers</a></nav></header><main class="mx-auto max-w-4xl px-6 pb-20 pt-6"><div class="rounded-2xl bg-white/95 p-8 shadow-xl"><a class="text-sm font-semibold text-blue-700" href="/2025/papers">← Back to papers</a><h1 class="mt-4 text-3xl font-semibold text-gray-900">Accessible EEG Classification with Attention-Based Neural Networks</h1><p class="mt-3 text-base text-gray-700">Mercy Doan, Leopold Ehrlich, Daryan Fadavi, Arya Farivar, Colin McLaughlin</p><p class="mt-2 text-xs uppercase tracking-[0.3em] text-gray-500">CUCAI 2025 Proceedings<!-- --> • <!-- -->2025</p><div class="mt-6 flex flex-col gap-3 sm:flex-row sm:items-center"><div class="flex flex-col gap-3 sm:flex-row"><a href="https://oamtsptxvibjauhz.public.blob.vercel-storage.com/CUCAI_2025_EEG.pdf" target="_blank" rel="noopener noreferrer" class="inline-flex items-center justify-center rounded-full bg-blue-600 px-6 py-2 text-sm font-semibold text-white transition hover:bg-blue-700 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-blue-500 focus-visible:ring-offset-2">View PDF</a><a href="https://oamtsptxvibjauhz.public.blob.vercel-storage.com/CUCAI_2025_EEG.pdf" download="Z4qLVA.pdf" class="inline-flex items-center justify-center rounded-full border border-blue-200 bg-white px-6 py-2 text-sm font-semibold text-blue-700 transition hover:border-blue-300 hover:bg-blue-50 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-blue-500 focus-visible:ring-offset-2">Download PDF</a></div><span class="text-sm text-gray-500">Published <!-- -->2025/03/26</span></div><div class="mt-8"><h2 class="text-lg font-semibold text-gray-900">Abstract</h2><p class="mt-3 text-base text-gray-700">To mitigate problems with noisy electroencephalogram (EEG) data and financially inaccessible medical-grade EEG devices, we present 2 NLP-inspired attention-based neural networks to improve classification accuracy, tested on 3 unique datasets.</p></div></div></main></div>

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