Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain–Computer …
Brain–computer interface (BCI) systems include signal acquisition, preprocessing, feature
extraction, classification, and an application phase. In fNIRS-BCI systems, deep learning …
extraction, classification, and an application phase. In fNIRS-BCI systems, deep learning …
A working memory model based on recurrent neural networks using reinforcement learning
M Wang, Y Wang, X Xu, X Pan - Cognitive Neurodynamics, 2024 - Springer
Numerous electrophysiological experiments have reported that the prefrontal cortex (PFC) is
involved in the process of working memory. PFC neurons continue firing to maintain stimulus …
involved in the process of working memory. PFC neurons continue firing to maintain stimulus …
Classification algorithm for motor imagery fusing CNN and attentional mechanisms based on functional near-infrared spectroscopy brain image
X Shi, B Li, W Wang, Y Qin, H Wang, X Wang - Cognitive Neurodynamics, 2024 - Springer
With the continuing development of brain–computer interface technology, the analysis and
interpretation of brain signals are becoming increasingly important. In the field of brain …
interpretation of brain signals are becoming increasingly important. In the field of brain …
EEG+ YKS Tabanlı Beyin Bilgisayar Arayüzü Sistemlerinde Makine Öğrenme Tekniklerinin Kullanımına İlişkin İnceleme
E Ergün, Ö Aydemir, OE Korkmaz - EMO Bilimsel Dergi, 2023 - dergipark.org.tr
Beyin-bilgisayar arayüzü (BBA), kişinin beyin aktivitesini algılayan ve bu aktiviteyi bir
bilgisayar veya diğer dış cihazlarla iletişim kurmak için kullanılabilir bir formata çeviren …
bilgisayar veya diğer dış cihazlarla iletişim kurmak için kullanılabilir bir formata çeviren …