维也纳艺术史博物馆(Kunsthistorisches Museum Wien)是奥地利著名的美术馆,位于维也纳环城大道中心路段的玛丽亚·特蕾西亚广场,与霍夫堡皇宫相对,是全世界第四大艺术博物馆,由统治欧洲近七个世纪的哈布斯堡家族出资兴建。作为博...维也纳艺术史博物馆(Kunsthistorisches Museum Wien)是奥地利著名的美术馆,位于维也纳环城大道中心路段的玛丽亚·特蕾西亚广场,与霍夫堡皇宫相对,是全世界第四大艺术博物馆,由统治欧洲近七个世纪的哈布斯堡家族出资兴建。作为博物馆的建立者,奥匈帝国皇帝一一弗朗茨·约瑟夫一世想把奥地利的文化传承下去,也想重振哈布斯堡家族的雄风。于是他花费了十年左右的时间,建立起两座宏伟的博物馆。一座是自然史博物馆,一座就是如今的艺术史博物馆。艺术史博物馆的众多收藏分布在几个建筑中,包括油画画廊、古典艺术收藏馆、埃及和东方艺术收藏馆,以及硬币收藏馆。展开更多
Motor imagery(MI)based electroencephalogram(EEG)represents a frontier in enabling direct neural control of external devices and advancing neural rehabilitation.This study introduces a novel time embedding technique,te...Motor imagery(MI)based electroencephalogram(EEG)represents a frontier in enabling direct neural control of external devices and advancing neural rehabilitation.This study introduces a novel time embedding technique,termed traveling-wave based time embedding,utilized as a pseudo channel to enhance the decoding accuracy of MI-EEG signals across various neural network architectures.Unlike traditional neural network methods that fail to account for the temporal dynamics in MI-EEG in individual difference,our approach captures time-related changes for different participants based on a priori knowledge.Through extensive experimentation with multiple participants,we demonstrate that this method not only improves classification accuracy but also exhibits greater adaptability to individual differences compared to position encoding used in Transformer architecture.Significantly,our results reveal that traveling-wave based time embedding crucially enhances decoding accuracy,particularly for participants typically considered“EEG-illiteracy”.As a novel direction in EEG research,the traveling-wave based time embedding not only offers fresh insights for neural network decoding strategies but also expands new avenues for research into attention mechanisms in neuroscience and a deeper understanding of EEG signals.展开更多
文摘维也纳艺术史博物馆(Kunsthistorisches Museum Wien)是奥地利著名的美术馆,位于维也纳环城大道中心路段的玛丽亚·特蕾西亚广场,与霍夫堡皇宫相对,是全世界第四大艺术博物馆,由统治欧洲近七个世纪的哈布斯堡家族出资兴建。作为博物馆的建立者,奥匈帝国皇帝一一弗朗茨·约瑟夫一世想把奥地利的文化传承下去,也想重振哈布斯堡家族的雄风。于是他花费了十年左右的时间,建立起两座宏伟的博物馆。一座是自然史博物馆,一座就是如今的艺术史博物馆。艺术史博物馆的众多收藏分布在几个建筑中,包括油画画廊、古典艺术收藏馆、埃及和东方艺术收藏馆,以及硬币收藏馆。
文摘Motor imagery(MI)based electroencephalogram(EEG)represents a frontier in enabling direct neural control of external devices and advancing neural rehabilitation.This study introduces a novel time embedding technique,termed traveling-wave based time embedding,utilized as a pseudo channel to enhance the decoding accuracy of MI-EEG signals across various neural network architectures.Unlike traditional neural network methods that fail to account for the temporal dynamics in MI-EEG in individual difference,our approach captures time-related changes for different participants based on a priori knowledge.Through extensive experimentation with multiple participants,we demonstrate that this method not only improves classification accuracy but also exhibits greater adaptability to individual differences compared to position encoding used in Transformer architecture.Significantly,our results reveal that traveling-wave based time embedding crucially enhances decoding accuracy,particularly for participants typically considered“EEG-illiteracy”.As a novel direction in EEG research,the traveling-wave based time embedding not only offers fresh insights for neural network decoding strategies but also expands new avenues for research into attention mechanisms in neuroscience and a deeper understanding of EEG signals.
