
{"id":104519,"date":"2025-05-30T07:04:05","date_gmt":"2025-05-30T07:04:05","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-eegmamba-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%d9%81%d8%b6%d8%a7%db%8c-%d8%ad%d8%a7%d9%84%d8%aa\/"},"modified":"2025-05-30T07:04:05","modified_gmt":"2025-05-30T07:04:05","slug":"%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-eegmamba-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%d9%81%d8%b6%d8%a7%db%8c-%d8%ad%d8%a7%d9%84%d8%aa-104519","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-eegmamba-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%d9%81%d8%b6%d8%a7%db%8c-%d8%ad%d8%a7%d9%84%d8%aa-104519\/","title":{"rendered":"\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 EEGMamba: \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0641\u0636\u0627\u06cc \u062d\u0627\u0644\u062a \u062f\u0648\u0637\u0631\u0641\u0647 \u0628\u0627 \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0627\u0632 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc EEG"},"content":{"rendered":"<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\n<td>EEGMamba: Bidirectional State Space Models with Mixture of Experts for EEG Classification<\/td>\n<\/tr>\n<tr>\n<td>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n<td>\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 EEGMamba: \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0641\u0636\u0627\u06cc \u062d\u0627\u0644\u062a \u062f\u0648\u0637\u0631\u0641\u0647 \u0628\u0627 \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0627\u0632 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc EEG<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646 <\/td>\n<td>Yiyu Gui, MingZhi Chen, Yuqi Su, Guibo Luo, Yuchao Yang<\/td>\n<\/tr>\n<tr>\n<td>\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\n<td>PDF<\/td>\n<\/tr>\n<tr>\n<td>\u0632\u0628\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u062a\u062d\u0648\u06cc\u0644\u06cc <\/td>\n<td>\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc<\/td>\n<\/tr>\n<tr>\n<td>\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647 \u062a\u0631\u062c\u0645\u0647 \u0634\u062f\u0647 <\/td>\n<td>\u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u062d\u0648\u0647 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 <\/td>\n<td>\u062f\u0648 \u062a\u0627 \u0633\u0647 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634 (\u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc)<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a<\/td>\n<td>19<\/td>\n<\/tr>\n<tr>\n<td>\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u0648\u0636\u0648\u0639\u0627\u062a  <\/td>\n<td>Signal Processing,Machine Learning,\u067e\u0631\u062f\u0627\u0632\u0634 \u0633\u06cc\u06af\u0646\u0627\u0644 , \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 ,<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a    <\/td>\n<td>Submitted 20 July, 2024; originally announced July 2024.<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc    <\/td>\n<td>\u0627\u0631\u0633\u0627\u0644 20 \u0698\u0648\u0626\u06cc\u0647 2024 \u061b\u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u0698\u0648\u0626\u06cc\u0647 2024 \u0627\u0639\u0644\u0627\u0645 \u0634\u062f.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div class=\"option-descriptions\" style=\"margin: 30px 0; padding: 15px; border: 1px solid #eee; border-radius: 5px; background-color: #f9f9f9;\">\n<h3>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06af\u0632\u06cc\u0646\u0647\u200c\u0647\u0627\u06cc \u062e\u0631\u06cc\u062f<\/h3>\n<div style=\"margin-bottom: 20px;\">\n<h4>\u062f\u0627\u0646\u0644\u0648\u062f \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/h4>\n<p>\u0628\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0627\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0641\u0627\u06cc\u0644 PDF \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644\u06cc \u0631\u0627 \u0628\u0647 \u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0642\u06cc\u0645\u062a: 19,000 \u062a\u0648\u0645\u0627\u0646<\/p>\n<\/p><\/div>\n<div style=\"margin-bottom: 20px;\">\n<h4>\u062f\u0627\u0646\u0644\u0648\u062f \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc + \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647 \u0627\u06cc \u0645\u0642\u0627\u0644\u0647 + \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647<\/h4>\n<p>\u0628\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0627\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u060c \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644\u06cc\u060c \u06cc\u06a9 \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647\u200c\u0627\u06cc \u0641\u0627\u0631\u0633\u06cc \u0648 \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647 \u0631\u0627 \u0646\u06cc\u0632 \u062f\u0631\u06cc\u0627\u0641\u062a \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/p>\n<p>\u0642\u06cc\u0645\u062a: 99,000 \u062a\u0648\u0645\u0627\u0646<\/p>\n<\/p><\/div>\n<div>\n<h4>\u0633\u0641\u0627\u0631\u0634 \u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 + \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647 \u0627\u06cc \u0645\u0642\u0627\u0644\u0647 + \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647<\/h4>\n<p>\u0628\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0627\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u060c \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644\u06cc \u0648 \u062a\u0631\u062c\u0645\u0647 \u06a9\u0627\u0645\u0644 \u0622\u0646\u060c \u06cc\u06a9 \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647\u200c\u0627\u06cc \u0641\u0627\u0631\u0633\u06cc \u0648 \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647 \u0631\u0627 \u0646\u06cc\u0632 \u062f\u0631\u06cc\u0627\u0641\u062a \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/p>\n<p>\u0642\u06cc\u0645\u062a: 760,000 \u062a\u0648\u0645\u0627\u0646<\/p>\n<p>\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644: 2 \u062a\u0627 3 \u0631\u0648\u0632 \u06a9\u0627\u0631\u06cc<\/p>\n<\/p><\/div>\n<\/p><\/div>\n\r\n<table class=\"table table-striped table-hover table-primary\">\r\n    <tr>\r\n        <td>\u0641\u0631\u0645\u062a \u0627\u0631\u0627\u0626\u0647 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647  <\/td>\r\n        <td>\u062a\u062d\u0648\u06cc\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\r\n    <\/tr>\r\n    <tr>\r\n        <td>\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647  <\/td>\r\n        <td>\u0628\u06cc\u0646 2 \u062a\u0627 3 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634<\/td>\r\n    <\/tr>\r\n\t<tr>\r\n        <td>\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647  <\/td>\r\n        <td>\u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/td>\r\n    <\/tr>\r\n\t\t<tr>\r\n        <td>\u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627  <\/td>\r\n        <td>\u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/td>\r\n    <\/tr>\r\n<\/table>\r\n\r\n\n<h2>\u0686\u06a9\u06cc\u062f\u0647<\/h2>\n<p style=\"direction:ltr;\">In recent years, with the development of deep learning, electroencephalogram (EEG) classification networks have achieved certain progress. Transformer-based models can perform well in capturing long-term dependencies in EEG signals. However, their quadratic computational complexity leads to significant computational overhead. Moreover, most EEG classification models are only suitable for single tasks, showing poor generalization capabilities across different tasks and further unable to handle EEG data from various tasks simultaneously due to variations in signal length and the number of channels. In this paper, we introduce a universal EEG classification network named EEGMamba, which seamlessly integrates the Spatio-Temporal-Adaptive (ST-Adaptive) module, Bidirectional Mamba, and Mixture of Experts (MoE) into a unified framework for multiple tasks. The proposed ST-Adaptive module performs unified feature extraction on EEG signals of different lengths and channel counts through spatio-adaptive convolution and incorporates a class token to achieve temporal-adaptability. Moreover, we design a bidirectional Mamba particularly suitable for EEG signals for further feature extraction, balancing high accuracy and fast inference speed in processing long EEG signals. In order to better process EEG data for different tasks, we introduce Task-aware MoE with a universal expert, achieving the capture of both differences and commonalities between EEG data from different tasks. We test our model on eight publicly available EEG datasets, and experimental results demonstrate its superior performance in four types of tasks: seizure detection, emotion recognition, sleep stage classification, and motor imagery. The code is set to be released soon.<\/p>\n<h2>\u0686\u06a9\u06cc\u062f\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>    \u062f\u0631 \u0633\u0627\u0644\u0647\u0627\u06cc \u0627\u062e\u06cc\u0631 \u060c \u0628\u0627 \u062a\u0648\u0633\u0639\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u060c \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0627\u0644\u06a9\u062a\u0631\u0648\u0627\u0646\u0633\u0641\u0627\u0644\u0648\u06af\u0631\u0627\u0645 (EEG) \u0628\u0647 \u067e\u06cc\u0634\u0631\u0641\u062a \u062e\u0627\u0635\u06cc \u0631\u0633\u06cc\u062f\u0647 \u0627\u0646\u062f.\u0645\u062f\u0644 \u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062a\u0631\u0627\u0646\u0633\u0641\u0648\u0631\u0645\u0627\u062a\u0648\u0631 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u062f\u0631 \u0636\u0628\u0637 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0647\u0627\u06cc \u0628\u0644\u0646\u062f \u0645\u062f\u062a \u062f\u0631 \u0633\u06cc\u06af\u0646\u0627\u0644 \u0647\u0627\u06cc EEG \u0639\u0645\u0644\u06a9\u0631\u062f \u062e\u0648\u0628\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u0646\u062f.\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644 \u060c \u067e\u06cc\u0686\u06cc\u062f\u06af\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u062f\u0631\u062c\u0647 \u062f\u0648\u0645 \u0622\u0646\u0647\u0627 \u0645\u0646\u062c\u0631 \u0628\u0647 \u0633\u0631\u0628\u0627\u0631 \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u0645\u06cc \u0634\u0648\u062f.\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u060c \u0627\u06a9\u062b\u0631 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc EEG \u0641\u0642\u0637 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0647\u0627\u06cc \u0648\u0627\u062d\u062f \u0645\u0646\u0627\u0633\u0628 \u0647\u0633\u062a\u0646\u062f \u060c \u06a9\u0647 \u062a\u0648\u0627\u0646\u0627\u06cc\u06cc \u0647\u0627\u06cc \u0639\u0645\u0648\u0645\u06cc \u0633\u0627\u0632\u06cc \u0636\u0639\u06cc\u0641 \u0631\u0627 \u062f\u0631 \u06a9\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0648 \u0642\u0627\u062f\u0631 \u0628\u0647 \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc EEG \u0627\u0632 \u06a9\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0628\u0647 \u0637\u0648\u0631 \u0647\u0645\u0632\u0645\u0627\u0646 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u062f\u0631 \u0637\u0648\u0644 \u0633\u06cc\u06af\u0646\u0627\u0644 \u0648 \u062a\u0639\u062f\u0627\u062f \u06a9\u0627\u0646\u0627\u0644 \u0647\u0627 \u0646\u06cc\u0633\u062a.\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u060c \u0645\u0627 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062c\u0647\u0627\u0646\u06cc EEG \u0628\u0647 \u0646\u0627\u0645 Eegmamba \u0631\u0627 \u0645\u0639\u0631\u0641\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u060c \u06a9\u0647 \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u0645\u0627\u0698\u0648\u0644 \u0641\u0636\u0627\u06cc\u06cc-\u0632\u0645\u0627\u0646\u06cc-\u0633\u0627\u0632\u06af\u0627\u0631 (ST-\u0633\u0627\u0632\u06af\u0627\u0631) \u060c Mamba \u062f\u0648 \u0637\u0631\u0641\u0647 \u0648 \u0645\u062e\u0644\u0648\u0637 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 (MOE) \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0686\u0627\u0631\u0686\u0648\u0628 \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u0628\u0631\u0627\u06cc \u0686\u0646\u062f\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u062f\u063a\u0627\u0645 \u0645\u06cc \u06a9\u0646\u062f.\u0645\u0627\u0698\u0648\u0644 ST \u0633\u0627\u0632\u06af\u0627\u0631 \u0628\u0627 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u0628\u0631 \u0631\u0648\u06cc \u0633\u06cc\u06af\u0646\u0627\u0644 \u0647\u0627\u06cc EEG \u0628\u0627 \u0637\u0648\u0644 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0648 \u0634\u0645\u0627\u0631\u0634 \u06a9\u0627\u0646\u0627\u0644 \u0647\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u062d\u0644\u0642\u0648\u06cc \u0641\u0636\u0627 \u0633\u0627\u0632\u06af\u0627\u0631 \u0627\u0633\u062a \u0648 \u0634\u0627\u0645\u0644 \u06cc\u06a9 \u0646\u0634\u0627\u0646\u0647 \u06a9\u0644\u0627\u0633 \u0628\u0631\u0627\u06cc \u062f\u0633\u062a\u06cc\u0627\u0628\u06cc \u0628\u0647 \u0642\u0627\u0628\u0644\u06cc\u062a \u0627\u0646\u0637\u0628\u0627\u0642 \u0632\u0645\u0627\u0646\u06cc \u0627\u0633\u062a.\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u060c \u0645\u0627 \u06cc\u06a9 mamba \u062f\u0648 \u0637\u0631\u0641\u0647 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0633\u06cc\u06af\u0646\u0627\u0644 \u0647\u0627\u06cc EEG \u0645\u0646\u0627\u0633\u0628 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631 \u060c \u062a\u0639\u0627\u062f\u0644 \u062f\u0642\u062a \u0628\u0627\u0644\u0627 \u0648 \u0633\u0631\u0639\u062a \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0633\u0631\u06cc\u0639 \u062f\u0631 \u067e\u0631\u062f\u0627\u0632\u0634 \u0633\u06cc\u06af\u0646\u0627\u0644 \u0647\u0627\u06cc \u0637\u0648\u0644\u0627\u0646\u06cc EEG \u0637\u0631\u0627\u062d\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645.\u0628\u0647 \u0645\u0646\u0638\u0648\u0631 \u067e\u0631\u062f\u0627\u0632\u0634 \u0628\u0647\u062a\u0631 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc EEG \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u060c \u0645\u0627 MOE \u0622\u06af\u0627\u0647 \u0648\u0638\u06cc\u0641\u0647 \u0631\u0627 \u0628\u0627 \u06cc\u06a9 \u0645\u062a\u062e\u0635\u0635 \u062c\u0647\u0627\u0646\u06cc \u0645\u0639\u0631\u0641\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u060c \u0648 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u0647\u0631 \u062f\u0648 \u062a\u0641\u0627\u0648\u062a \u0648 \u0645\u0634\u062a\u0631\u06a9\u0627\u062a \u0628\u06cc\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc EEG \u0627\u0632 \u06a9\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u06cc \u067e\u0631\u062f\u0627\u0632\u06cc\u0645.\u0645\u0627 \u0645\u062f\u0644 \u062e\u0648\u062f \u0631\u0627 \u0628\u0631 \u0631\u0648\u06cc \u0647\u0634\u062a \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 EEG \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0639\u0645\u0648\u0645\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u060c \u0648 \u0646\u062a\u0627\u06cc\u062c \u062a\u062c\u0631\u0628\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0631\u062a\u0631 \u0622\u0646 \u0631\u0627 \u062f\u0631 \u0686\u0647\u0627\u0631 \u0646\u0648\u0639 \u06a9\u0627\u0631 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f: \u062a\u0634\u062e\u06cc\u0635 \u062a\u0634\u0646\u062c \u060c \u062a\u0634\u062e\u06cc\u0635 \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u060c \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u0631\u062d\u0644\u0647 \u062e\u0648\u0627\u0628 \u0648 \u062a\u0635\u0627\u0648\u06cc\u0631 \u062d\u0631\u06a9\u062a\u06cc.\u0627\u06cc\u0646 \u06a9\u062f \u0628\u0647 \u0632\u0648\u062f\u06cc \u0645\u0646\u062a\u0634\u0631 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n\r\n<table class=\"table table-striped table-hover table-primary\">\r\n    <tr>\r\n        <td>\u0641\u0631\u0645\u062a \u0627\u0631\u0627\u0626\u0647 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647  <\/td>\r\n        <td>\u062a\u062d\u0648\u06cc\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\r\n    <\/tr>\r\n    <tr>\r\n        <td>\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647  <\/td>\r\n        <td>\u0628\u06cc\u0646 2 \u062a\u0627 3 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634<\/td>\r\n    <\/tr>\r\n\t<tr>\r\n        <td>\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647  <\/td>\r\n        <td>\u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/td>\r\n    <\/tr>\r\n\t\t<tr>\r\n        <td>\u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627  <\/td>\r\n        <td>\u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/td>\r\n    <\/tr>\r\n<\/table>\r\n\r\n\n","protected":false},"excerpt":{"rendered":"<p>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc EEGMamba: Bidirectional State Space Models with Mixture of Experts for EEG Classification \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc [&hellip;]<\/p>\n","protected":false},"featured_media":27,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}}},"product_cat":[511,1158],"product_tag":[],"class_list":{"0":"post-104519","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-511","7":"product_cat-1158","8":"pmpro-has-access","9":"desktop-align-left","10":"tablet-align-left","11":"mobile-align-left","13":"first","14":"instock","15":"shipping-taxable","16":"purchasable","17":"product-type-variable"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 EEGMamba: \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0641\u0636\u0627\u06cc \u062d\u0627\u0644\u062a \u062f\u0648\u0637\u0631\u0641\u0647 \u0628\u0627 \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0627\u0632 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc EEG - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/express24.ir\/d\/product\/\u062a\u0631\u062c\u0645\u0647-\u0641\u0627\u0631\u0633\u06cc-\u0645\u0642\u0627\u0644\u0647-eegmamba-\u0645\u062f\u0644\u0647\u0627\u06cc-\u0641\u0636\u0627\u06cc-\u062d\u0627\u0644\u062a-104519\/\" \/>\n<meta property=\"og:locale\" content=\"fa_IR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 EEGMamba: \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0641\u0636\u0627\u06cc \u062d\u0627\u0644\u062a \u062f\u0648\u0637\u0631\u0641\u0647 \u0628\u0627 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