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EEG data based human attention recognition using various machine learning techniques: a review.

• Authors : Nirmala Devi, A.; Rathna, R.

Subjects: BRAIN waves; ELECTROENCEPHALOGRAPHY; MACHINE learning

• Source: Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation; Dec2024, Vol. 11 Issue 7, p1-11, 11p

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Agricola

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Agricola

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Efficient dual-frequency SSVEP brain-computer interface system exploiting interocular visual resource disparities.

• Authors : Sun, Yike¹ (AUTHOR); Li, Yuhan^2,3 (AUTHOR); Chen, Yuzhen¹ (AUTHOR)

Subjects: *BRAIN-computer interfaces; *VISUAL evoked potentials; *SPATIAL arrangement

• Source: Expert Systems with Applications. Oct2024:Part A, Vol. 252, pN.PAG-N.PAG. 1p.

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Discriminating brainwave patterns of different control and non-control states for enhancing asynchronous brain-computer interfaces.

• Authors : Zhao, Jing¹ (AUTHOR) ; Li, Jiaxin¹ (AUTHOR); Wang, Xinrui² (AUTHOR)

Subjects: *BRAIN-computer interfaces; *ELECTROENCEPHALOGRAPHY; *VISUAL evoked potentialsREPUBLICAN National Committee (U.S.) REPUBLICAN National Committee (U.S.) REPUBLICAN National Committee (U.S.) 604806869

• Source: Expert Systems with Applications. Oct2024:Part A, Vol. 252, pN.PAG-N.PAG. 1p.

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Spelling principles matter: An ERP study investigating the processing of different types of pseudohomophones.

• Authors : Larionova E; Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russian Federation. Electronic address: .; Garakh Z

Subjects: Evoked Potentials*/Evoked Potentials*/Evoked Potentials*/physiology ; Electroencephalography*/Electroencephalography*/Electroencephalography*/methods ; Reading*

• Source: Brain research [Brain Res] 2024 Sep 15; Vol. 1839, pp. 149012. Date of Electronic Publication: 2024 May 19.Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 0045503 Publication Model: Print-Electronic Cited Medium:

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Analysis and recognition of a novel experimental paradigm for musical emotion brain-computer interface.

• Authors : Li J; School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China.; Wang L

Subjects: Music*/Music*/Music*/psychology ; Emotions*/Emotions*/Emotions*/physiology ; Electroencephalography*/Electroencephalography*/Electroencephalography*/methods

• Source: Brain research [Brain Res] 2024 Sep 15; Vol. 1839, pp. 149039. Date of Electronic Publication: 2024 May 28.Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 0045503 Publication Model: Print-Electronic Cited Medium:

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A novel strategy for differentiating motor imagination brain-computer interface tasks by fusing EEG and functional near-infrared spectroscopy signals.

• Authors : Guo, Miaomiao; Feng, Leiguang; Chen, Xiaogang

Subjects: BRAIN-computer interfaces; ELECTROENCEPHALOGRAPHY; MOTOR imagery (Cognition)

• Source: Biomedical Signal Processing & Control; Sep2024:Part B, Vol. 95, pN.PAG-N.PAG, 1p

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SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging.

• Authors : Mengi, Mehak; Malhotra, Deepti

Subjects: AUTISM spectrum disorders; PREDICTION models; FUNCTIONAL magnetic resonance imaging

• Source: Biomedical Signal Processing & Control; Sep2024:Part B, Vol. 95, pN.PAG-N.PAG, 1p

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Disrupted Functional Brain Network Architecture in Sufferers with Boxing-Related Repeated Mild Traumatic Brain Injury: A Resting-State EEG Study.

• Authors : Shukai Wu; Zhenghao Fu; Shuochen Wang

Subjects: BRAIN injuries; LARGE-scale brain networks; DISTRIBUTION (Probability theory)

• Source: Journal of Integrative Neuroscience; 2024, Vol. 23 Issue 5, p1-15, 15p

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