{"id":10428,"date":"2026-07-26T16:29:17","date_gmt":"2026-07-26T08:29:17","guid":{"rendered":"https:\/\/infernews.com\/blog\/differentiable-logic-gate-networks-for-low-latency-eeg-classification-on-edge-de\/"},"modified":"2026-07-26T16:29:17","modified_gmt":"2026-07-26T08:29:17","slug":"differentiable-logic-gate-networks-for-low-latency-eeg-classification-on-edge-de","status":"publish","type":"post","link":"https:\/\/infernews.com\/blog\/differentiable-logic-gate-networks-for-low-latency-eeg-classification-on-edge-de\/","title":{"rendered":"eeg-difflogic\uff1a\u908a\u7de3 EEG \u5206\u985e\u6539\u7528\u908f\u8f2f\u96fb\u8def"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/infernews.com\/blog\/wp-content\/uploads\/2026\/07\/WorkFlow.jpg\" alt=\"Workflow for EEG classification using differentiable logic gate networks\"><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u9019\u4efd\u9805\u76ee\u5c0d\u6e96\u7684\u662f\u8981\u5728\u908a\u7de3\u88dd\u7f6e\u5373\u6642\u5206\u6790 EEG \u7684\u5834\u666f\uff0c\u6838\u5fc3\u77db\u76fe\u5f88\u76f4\u63a5\uff1a\u50b3\u7d71\u795e\u7d93\u7db2\u7d61\u96d6\u7136\u6e96\uff0c\u4f46\u6d6e\u9ede\u904b\u7b97\u548c\u8a18\u61b6\u9ad4\u958b\u92b7\u6703\u62d6\u6162\u90e8\u7f72\u3002\u5b83\u5c6c\u65bc\u7814\u7a76\u578b\u5de5\u5177\uff0f\u6846\u67b6\uff0c\u8655\u7406\u7684\u662f\u628a Differentiable Logic Gate Networks (Diff-Logic) \u7528\u5728 EEG \u5206\u985e\uff0c\u4e26\u5728\u63a8\u7406\u968e\u6bb5\u7de8\u8b6f\u6210 Boolean circuits\uff0c\u4ee5 bitwise CPU operations \u8dd1\u5f97\u66f4\u8f15\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u4f5c\u8005\u540c\u6642\u770b\u4e86\u5169\u985e\u4efb\u52d9\uff1a\u81e8\u5e8a\u5931\u667a\u5206\u985e\u8207\u60c5\u7dd2\u8fa8\u8b58\u3002\u524d\u8005\u7528 Power Spectral Density (PSD)\uff0c\u5f8c\u8005\u7528 Differential Entropy (DE)\uff0c\u518d\u914d\u5408 fold-wise Min-Max normalization\u3001thermometer encoding \u548c\u591a\u5c64 differentiable logic gates\uff0c\u6700\u5f8c\u628a\u5b78\u5230\u7684 soft gates \u786c\u5316\u6210\u53ef\u57f7\u884c\u7684\u5e03\u6797\u96fb\u8def\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u548c Multi-Layer Perceptrons (MLPs) \u53ca Binarized Neural Networks (BNNs) \u6bd4\u8d77\u4f86\uff0c\u9019\u500b\u9805\u76ee\u4e0d\u8ffd\u6c42\u55ae\u7d14\u5806\u5927\u6a21\u578b\uff0c\u800c\u662f\u7528 iso-parameter evaluation \u53bb\u770b\u540c\u7b49\u53c3\u6578\u91cf\u4e0b\u7684\u8868\u73fe\u8207\u6548\u7387\u3002\u8ad6\u6587\u5831\u544a\u5728 dementia screening \u4e0a Diff-Logic \u62ff\u5230 80.2% Macro F1\uff0c\u8f03 MLP \u9ad8 6.8%\uff1b\u5728 emotion recognition \u4e0a MLP \u6e96\u5ea6\u7565\u6709\u512a\u52e2\uff0c\u4f46\u90e8\u7f72\u5230 NVIDIA Jetson Orin Nano \u55ae\u6838\u5fc3 CPU \u6642\uff0c\u5ef6\u9072\u9ad8 2.3 \u500d\u3001\u6a21\u578b\u9ad4\u7a4d\u5927 14 \u500d\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u63a8\u7406\u8def\u5f91\u6e05\u695a\uff1a\u5148\u8a13\u7df4\uff0c\u518d\u8f49\u6210 Boolean circuits \u505a inference<\/li>\n<li>\u9069\u5408\u95dc\u5fc3\u4f4e\u5ef6\u9072\u3001\u4f4e\u8a18\u61b6\u9ad4\u3001\u80fd\u5728 edge device \u8dd1\u7684 EEG \u7cfb\u7d71<\/li>\n<li>\u8a55\u6e2c\u8986\u84cb CN vs. AD\u3001CN vs. FTD\uff0c\u4ee5\u53ca\u4e09\u985e\u60c5\u7dd2\u8fa8\u8b58\u8cc7\u6599\u96c6<\/li>\n<li>\u5728\u8f03\u5927\u898f\u6a21\u4e0b\uff0cDiff-Logic \u7684\u63a8\u7406\u6642\u9593\u5e7e\u4e4e\u4fdd\u6301\u4e0d\u8b8a<\/li>\n<li>\u9019\u500b\u9805\u76ee\u6700\u6709\u50f9\u503c\u7684\u5730\u65b9\uff0c\u4e0d\u5728\u65bc\u53d6\u4ee3\u6240\u6709 EEG \u6a21\u578b\uff0c\u800c\u662f\u5728\u8cc7\u6e90\u53d7\u9650\u74b0\u5883\u4e0b\u63d0\u4f9b\u53e6\u4e00\u689d\u66f4\u8cbc\u8fd1\u786c\u4ef6\u7684\u8def\u7dda<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/Shyamal-Dharia\/eeg-difflogic\" rel=\"noopener noreferrer\"><strong>GitHub<\/strong><\/a> \u00b7 <a href=\"https:\/\/arxiv.org\/pdf\/2607.18149\" rel=\"noopener noreferrer\"><strong>Paper<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u9019\u500b\u9805\u76ee\u628a EEG \u5206\u985e\u5f9e\u6d6e\u9ede\u795e\u7d93\u7db2\u7d61\uff0c\u8f49\u5411\u53ef\u76f4\u63a5\u7de8\u8b6f\u6210\u5e03\u6797\u96fb\u8def\u7684 Diff-Logic\u3002\u4f60\u53ef\u4ee5\u628a\u5b83\u7406\u89e3\u6210\u4e00\u7a2e\u66f4\u8cbc\u8fd1\u908a\u7de3\u88dd\u7f6e\u9650\u5236\u7684\u505a\u6cd5\uff0c\u91cd\u9ede\u653e\u5728\u4f4e\u5ef6\u9072\u8207\u8a18\u61b6\u9ad4\u58d3\u529b\u3002<\/p>\n","protected":false},"author":8,"featured_media":10427,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ai_generated_summary":"","footnotes":""},"categories":[133,179,144,76,197,199],"tags":[],"class_list":["post-10428","post","type-post","status-publish","format-standard","hentry","category-133","category-nvidia","category-medical","category-76","category-framework","category-dataset-"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/10428","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/comments?post=10428"}],"version-history":[{"count":0,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/10428\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media\/10427"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=10428"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/categories?post=10428"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/tags?post=10428"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}