Titlebook: Human Brain and Artificial Intelligence; Third International Xiaomin Ying Conference proceedings 2023 The Editor(s) (if applicable) and Th

凹室

PANG

DFC-SNN: A New Approach for the Recognition of Brain States by Fusing Brain Dynamics and Spiking Neuever, how to efficiently apply brain dynamics for the recognition of brain states is still unclear and need more investigations. The spiking neural network (SNN) is a promising model with better performance in the pattern recognition of event streams. Thus, this paper proposes an algorithm framework

Cursory

Lacunar-Stroke

无动于衷

预感

exigent

Multi-source Domain Adaptation Based on Data Selector with Soft Actor-Criticmains are related to the target domain, the difference of data distribution between source and target domains may lead to negative transfer. Therefore, selecting the high-quality source data is conducive to mitigate the problem. However, the existing methods select the data with uniform criteria, ne

越自我

Transfer Learning to Decode Brain States Reflecting the Relationship Between Cognitive Taskse source and the target tasks, the greater the performance improvement by transfer learning. In neuroscience, the relationship between cognitive tasks is usually represented by similarity of activated brain regions or neural representation. However, no study has linked transfer learning and neurosci

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faddish

A Hybrid Brain-Computer Interface for Smart Car Controlre few studies on controlling a car by multimodality due to its difficulty in the current research. This paper proposes a hybrid BCI control system based on electroencephalography (EEG), electrooculography (EOG), and gyroscope signals to address this challenge. The user can control the start, stop,