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An Unsupervised Feature Extraction Method based on CLSTM-AE for Accurate P300 Classification in Brain-Computer Interface Systems.
J Biomed Phys Eng
December 2024
Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Background: The P300 signal, an endogenous component of event-related potentials, is extracted from an electroencephalography signal and employed in Brain-computer Interface (BCI) devices.
Objective: The current study aimed to address challenges in extracting useful features from P300 components and detecting P300 through a hybrid unsupervised manner based on Convolutional Neural Network (CNN) and Long Short-term Memory (LSTM).
Material And Methods: In this cross-sectional study, CNN as a useful method for the P300 classification task emphasizes spatial characteristics of data.
Social and perceptual decisions predict differences in face inversion neural correlates: Implications for development and face perception methods.
Soc Neurosci
January 2025
Department of Psychology, University of South Carolina, Columbia, SC, USA.
Article Synopsis
- Social attention helps people understand social cues and is crucial for developing complex social cognition; both automatic and purposeful attention play essential roles in this process.
- The study analyzed how different approaches to attention affected brain activity during a face inversion task, revealing no significant differences for the P1 and N170 brain markers, but differing results for P3 based on social decision-making.
- Results showed that adults and adolescents processed face perception differently, suggesting that developmental changes continue into adolescence and that task decisions can impact neural responses to faces by age.
Dissociable Effects of Endogenous and Exogenous Attention on Crowding: Evidence from Event-Related Potentials.
Brain Sci
September 2024
School of Psychology, Jiangxi Normal University, Nanchang 330022, China.
Background/objectives: Crowding is a common visual phenomenon that can significantly impair the recognition of objects in peripheral vision. Two recent behavioral studies have revealed that both exogenous and endogenous attention can alleviate crowding, but exogenous attention seems to be more effective.
Methods: The present study employed the event-related potential (ERP) technique to explore the electrophysiological characteristics of the influence of these two types of attention on crowding.
Improved motor imagery training for subject's self-modulation in EEG-based brain-computer interface.
Front Hum Neurosci
August 2024
School of Software, Jiangxi Agricultural University, Nanchang, China.
For the electroencephalogram- (EEG-) based motor imagery (MI) brain-computer interface (BCI) system, more attention has been paid to the advanced machine learning algorithms rather than the effective MI training protocols over past two decades. However, it is crucial to assist the subjects in modulating their active brains to fulfill the endogenous MI tasks during the calibration process, which will facilitate signal processing using various machine learning algorithms. Therefore, we propose a trial-feedback paradigm to improve MI training and introduce a non-feedback paradigm for comparison.
View Article and Find Full Text PDFSensorimotor Oscillations in Human Infants during an Innate Rhythmic Movement.
Brain Sci
April 2024
Unit for Visually Impaired People, Istituto Italiano di Tecnologia, 16152 Genoa, Italy.
The relationship between cerebral rhythms and early sensorimotor development is not clear. In recent decades, evidence revealed a rhythmic modulation involving sensorimotor processing. A widely corroborated functional role of oscillatory activity is to coordinate the information flow across sensorimotor networks.
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