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Epileptic Seizure Prediction Using Attention Augmented Convolutional Network
In this study, a novel epileptic seizure prediction method is proposed based on multi-head attention (MHA) augmented convolutional neural network (CNN) to address the issue of CNN's limit of capturing global information of input signals. First, data enhancement is performed on original EEG recordings to balance the pre-ictal and inter-ictal EEG data, and the EEG recordings are sliced into 6-second-long EEG segments. Subsequently, EEG time-frequency distribution is obtained using Stockwell transform (ST), and the attention augmented convolutional network is employed for feature extraction and classification. Finally, post-p...
Source: International Journal of Neural Systems - September 7, 2023 Category: Neurology Authors: Dongsheng Liu Xingchen Dong Dong Bian Weidong Zhou Source Type: research

Epileptic Seizure Prediction Using Attention Augmented Convolutional Network
In this study, a novel epileptic seizure prediction method is proposed based on multi-head attention (MHA) augmented convolutional neural network (CNN) to address the issue of CNN's limit of capturing global information of input signals. First, data enhancement is performed on original EEG recordings to balance the pre-ictal and inter-ictal EEG data, and the EEG recordings are sliced into 6-second-long EEG segments. Subsequently, EEG time-frequency distribution is obtained using Stockwell transform (ST), and the attention augmented convolutional network is employed for feature extraction and classification. Finally, post-p...
Source: International Journal of Neural Systems - September 7, 2023 Category: Neurology Authors: Dongsheng Liu Xingchen Dong Dong Bian Weidong Zhou Source Type: research

Epileptic Seizure Prediction Using Attention Augmented Convolutional Network
In this study, a novel epileptic seizure prediction method is proposed based on multi-head attention (MHA) augmented convolutional neural network (CNN) to address the issue of CNN's limit of capturing global information of input signals. First, data enhancement is performed on original EEG recordings to balance the pre-ictal and inter-ictal EEG data, and the EEG recordings are sliced into 6-second-long EEG segments. Subsequently, EEG time-frequency distribution is obtained using Stockwell transform (ST), and the attention augmented convolutional network is employed for feature extraction and classification. Finally, post-p...
Source: International Journal of Neural Systems - September 7, 2023 Category: Neurology Authors: Dongsheng Liu Xingchen Dong Dong Bian Weidong Zhou Source Type: research

Epileptic Seizure Prediction Using Attention Augmented Convolutional Network
In this study, a novel epileptic seizure prediction method is proposed based on multi-head attention (MHA) augmented convolutional neural network (CNN) to address the issue of CNN's limit of capturing global information of input signals. First, data enhancement is performed on original EEG recordings to balance the pre-ictal and inter-ictal EEG data, and the EEG recordings are sliced into 6-second-long EEG segments. Subsequently, EEG time-frequency distribution is obtained using Stockwell transform (ST), and the attention augmented convolutional network is employed for feature extraction and classification. Finally, post-p...
Source: International Journal of Neural Systems - September 7, 2023 Category: Neurology Authors: Dongsheng Liu Xingchen Dong Dong Bian Weidong Zhou Source Type: research

Epileptic Seizure Prediction Using Attention Augmented Convolutional Network
In this study, a novel epileptic seizure prediction method is proposed based on multi-head attention (MHA) augmented convolutional neural network (CNN) to address the issue of CNN's limit of capturing global information of input signals. First, data enhancement is performed on original EEG recordings to balance the pre-ictal and inter-ictal EEG data, and the EEG recordings are sliced into 6-second-long EEG segments. Subsequently, EEG time-frequency distribution is obtained using Stockwell transform (ST), and the attention augmented convolutional network is employed for feature extraction and classification. Finally, post-p...
Source: International Journal of Neural Systems - September 7, 2023 Category: Neurology Authors: Dongsheng Liu Xingchen Dong Dong Bian Weidong Zhou Source Type: research

Epileptic Seizure Prediction Using Attention Augmented Convolutional Network
In this study, a novel epileptic seizure prediction method is proposed based on multi-head attention (MHA) augmented convolutional neural network (CNN) to address the issue of CNN's limit of capturing global information of input signals. First, data enhancement is performed on original EEG recordings to balance the pre-ictal and inter-ictal EEG data, and the EEG recordings are sliced into 6-second-long EEG segments. Subsequently, EEG time-frequency distribution is obtained using Stockwell transform (ST), and the attention augmented convolutional network is employed for feature extraction and classification. Finally, post-p...
Source: International Journal of Neural Systems - September 7, 2023 Category: Neurology Authors: Dongsheng Liu Xingchen Dong Dong Bian Weidong Zhou Source Type: research

Epileptic Seizure Prediction Using Attention Augmented Convolutional Network
In this study, a novel epileptic seizure prediction method is proposed based on multi-head attention (MHA) augmented convolutional neural network (CNN) to address the issue of CNN's limit of capturing global information of input signals. First, data enhancement is performed on original EEG recordings to balance the pre-ictal and inter-ictal EEG data, and the EEG recordings are sliced into 6-second-long EEG segments. Subsequently, EEG time-frequency distribution is obtained using Stockwell transform (ST), and the attention augmented convolutional network is employed for feature extraction and classification. Finally, post-p...
Source: International Journal of Neural Systems - September 7, 2023 Category: Neurology Authors: Dongsheng Liu Xingchen Dong Dong Bian Weidong Zhou Source Type: research

Epileptic Seizure Prediction Using Attention Augmented Convolutional Network
In this study, a novel epileptic seizure prediction method is proposed based on multi-head attention (MHA) augmented convolutional neural network (CNN) to address the issue of CNN's limit of capturing global information of input signals. First, data enhancement is performed on original EEG recordings to balance the pre-ictal and inter-ictal EEG data, and the EEG recordings are sliced into 6-second-long EEG segments. Subsequently, EEG time-frequency distribution is obtained using Stockwell transform (ST), and the attention augmented convolutional network is employed for feature extraction and classification. Finally, post-p...
Source: International Journal of Neural Systems - September 7, 2023 Category: Neurology Authors: Dongsheng Liu Xingchen Dong Dong Bian Weidong Zhou Source Type: research

Epileptic Seizure Prediction Using Attention Augmented Convolutional Network
In this study, a novel epileptic seizure prediction method is proposed based on multi-head attention (MHA) augmented convolutional neural network (CNN) to address the issue of CNN's limit of capturing global information of input signals. First, data enhancement is performed on original EEG recordings to balance the pre-ictal and inter-ictal EEG data, and the EEG recordings are sliced into 6-second-long EEG segments. Subsequently, EEG time-frequency distribution is obtained using Stockwell transform (ST), and the attention augmented convolutional network is employed for feature extraction and classification. Finally, post-p...
Source: International Journal of Neural Systems - September 7, 2023 Category: Neurology Authors: Dongsheng Liu Xingchen Dong Dong Bian Weidong Zhou Source Type: research

Enhancing Prediction of Forelimb Movement Trajectory through a Calibrating-Feedback Paradigm Incorporating RAT Primary Motor and Agranular Cortical Ensemble Activity in the Goal-Directed Reaching Task
Int J Neural Syst. 2023 Aug 24:2350051. doi: 10.1142/S012906572350051X. Online ahead of print.ABSTRACTComplete reaching movements involve target sensing, motor planning, and arm movement execution, and this process requires the integration and communication of various brain regions. Previously, reaching movements have been decoded successfully from the motor cortex (M1) and applied to prosthetic control. However, most studies attempted to decode neural activities from a single brain region, resulting in reduced decoding accuracy during visually guided reaching motions. To enhance the decoding accuracy of visually guided fo...
Source: International Journal of Neural Systems - August 26, 2023 Category: Neurology Authors: Han-Lin Wang Yun-Ting Kuo Yu-Chun Lo Chao-Hung Kuo Bo-Wei Chen Ching-Fu Wang Zu-Yu Wu Chi-En Lee Shih-Hung Yang Sheng-Huang Lin Po-Chuan Chen You-Yin Chen Source Type: research

Enhancing Prediction of Forelimb Movement Trajectory through a Calibrating-Feedback Paradigm Incorporating RAT Primary Motor and Agranular Cortical Ensemble Activity in the Goal-Directed Reaching Task
Int J Neural Syst. 2023 Aug 24:2350051. doi: 10.1142/S012906572350051X. Online ahead of print.ABSTRACTComplete reaching movements involve target sensing, motor planning, and arm movement execution, and this process requires the integration and communication of various brain regions. Previously, reaching movements have been decoded successfully from the motor cortex (M1) and applied to prosthetic control. However, most studies attempted to decode neural activities from a single brain region, resulting in reduced decoding accuracy during visually guided reaching motions. To enhance the decoding accuracy of visually guided fo...
Source: International Journal of Neural Systems - August 26, 2023 Category: Neurology Authors: Han-Lin Wang Yun-Ting Kuo Yu-Chun Lo Chao-Hung Kuo Bo-Wei Chen Ching-Fu Wang Zu-Yu Wu Chi-En Lee Shih-Hung Yang Sheng-Huang Lin Po-Chuan Chen You-Yin Chen Source Type: research

Enhancing Prediction of Forelimb Movement Trajectory through a Calibrating-Feedback Paradigm Incorporating RAT Primary Motor and Agranular Cortical Ensemble Activity in the Goal-Directed Reaching Task
Int J Neural Syst. 2023 Aug 24:2350051. doi: 10.1142/S012906572350051X. Online ahead of print.ABSTRACTComplete reaching movements involve target sensing, motor planning, and arm movement execution, and this process requires the integration and communication of various brain regions. Previously, reaching movements have been decoded successfully from the motor cortex (M1) and applied to prosthetic control. However, most studies attempted to decode neural activities from a single brain region, resulting in reduced decoding accuracy during visually guided reaching motions. To enhance the decoding accuracy of visually guided fo...
Source: International Journal of Neural Systems - August 26, 2023 Category: Neurology Authors: Han-Lin Wang Yun-Ting Kuo Yu-Chun Lo Chao-Hung Kuo Bo-Wei Chen Ching-Fu Wang Zu-Yu Wu Chi-En Lee Shih-Hung Yang Sheng-Huang Lin Po-Chuan Chen You-Yin Chen Source Type: research

Enhancing Prediction of Forelimb Movement Trajectory through a Calibrating-Feedback Paradigm Incorporating RAT Primary Motor and Agranular Cortical Ensemble Activity in the Goal-Directed Reaching Task
Int J Neural Syst. 2023 Aug 24:2350051. doi: 10.1142/S012906572350051X. Online ahead of print.ABSTRACTComplete reaching movements involve target sensing, motor planning, and arm movement execution, and this process requires the integration and communication of various brain regions. Previously, reaching movements have been decoded successfully from the motor cortex (M1) and applied to prosthetic control. However, most studies attempted to decode neural activities from a single brain region, resulting in reduced decoding accuracy during visually guided reaching motions. To enhance the decoding accuracy of visually guided fo...
Source: International Journal of Neural Systems - August 26, 2023 Category: Neurology Authors: Han-Lin Wang Yun-Ting Kuo Yu-Chun Lo Chao-Hung Kuo Bo-Wei Chen Ching-Fu Wang Zu-Yu Wu Chi-En Lee Shih-Hung Yang Sheng-Huang Lin Po-Chuan Chen You-Yin Chen Source Type: research

Enhancing Prediction of Forelimb Movement Trajectory through a Calibrating-Feedback Paradigm Incorporating RAT Primary Motor and Agranular Cortical Ensemble Activity in the Goal-Directed Reaching Task
Int J Neural Syst. 2023 Aug 24:2350051. doi: 10.1142/S012906572350051X. Online ahead of print.ABSTRACTComplete reaching movements involve target sensing, motor planning, and arm movement execution, and this process requires the integration and communication of various brain regions. Previously, reaching movements have been decoded successfully from the motor cortex (M1) and applied to prosthetic control. However, most studies attempted to decode neural activities from a single brain region, resulting in reduced decoding accuracy during visually guided reaching motions. To enhance the decoding accuracy of visually guided fo...
Source: International Journal of Neural Systems - August 26, 2023 Category: Neurology Authors: Han-Lin Wang Yun-Ting Kuo Yu-Chun Lo Chao-Hung Kuo Bo-Wei Chen Ching-Fu Wang Zu-Yu Wu Chi-En Lee Shih-Hung Yang Sheng-Huang Lin Po-Chuan Chen You-Yin Chen Source Type: research

Enhancing Prediction of Forelimb Movement Trajectory through a Calibrating-Feedback Paradigm Incorporating RAT Primary Motor and Agranular Cortical Ensemble Activity in the Goal-Directed Reaching Task
Int J Neural Syst. 2023 Aug 24:2350051. doi: 10.1142/S012906572350051X. Online ahead of print.ABSTRACTComplete reaching movements involve target sensing, motor planning, and arm movement execution, and this process requires the integration and communication of various brain regions. Previously, reaching movements have been decoded successfully from the motor cortex (M1) and applied to prosthetic control. However, most studies attempted to decode neural activities from a single brain region, resulting in reduced decoding accuracy during visually guided reaching motions. To enhance the decoding accuracy of visually guided fo...
Source: International Journal of Neural Systems - August 26, 2023 Category: Neurology Authors: Han-Lin Wang Yun-Ting Kuo Yu-Chun Lo Chao-Hung Kuo Bo-Wei Chen Ching-Fu Wang Zu-Yu Wu Chi-En Lee Shih-Hung Yang Sheng-Huang Lin Po-Chuan Chen You-Yin Chen Source Type: research