Showing 1 - 20 results of 142 for search 'decoding brain’s function', query time: 0.09s Refine Results
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    Extracting representations of cognition across neuroimaging studies improves brain decoding. by Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux

    Published 2021-05-01
    “…Our approach improves decoding performance for 80% of 35 widely-different functional-imaging studies. …”
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    An action decoding framework combined with deep neural network for predicting the semantics of human actions in videos from evoked brain activities by Yuanyuan Zhang, Manli Tian, Baolin Liu

    Published 2025-02-01
    “…IntroductionRecently, numerous studies have focused on the semantic decoding of perceived images based on functional magnetic resonance imaging (fMRI) activities. …”
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    Article
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    Decoding Articulation Motor Imagery Using Early Connectivity Information in the Motor Cortex: A Functional Near-Infrared Spectroscopy Study by Zengzhi Guo, Fei Chen

    Published 2023-01-01
    “…Previous BCIs based on fNIRS mainly relied on activation information, which ignored the functional connectivity between neural areas. In this study, a 4-class speech imagery BCI based on fNIRS is presented to decode simplified articulation motor imagery (only the movements of jaw and lip were retained) of different vowels. …”
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    Impact of Generation Rate of Speech Imagery on Neural Activity and BCI Decoding Performance: A fNIRS Study by Zengzhi Guo, Lisheng Xu, Wenjun Tan, Fei Chen

    Published 2025-01-01
    “…Current BCI research primarily focuses on improving the decoding performance. However, a key aspect of stroke rehabilitation lies in inducing stronger cortical activations in the damaged brain areas, thereby accelerating the recovery of brain functions. …”
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    Latent preference representation in the human brain for scented products: Effects of novelty and familiarity by Toshiki Okumura, Kai Saito, Risako Harada, Tohru Ohki, Hiroyuki Hanihara, Ikuhiro Kida

    Published 2025-04-01
    “…Brain activity in regions like the medial orbitofrontal cortex and nucleus accumbens (NAcc) correlates with subjective preferences. …”
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    Cross-Subject Motor Imagery Electroencephalogram Decoding with Domain Generalization by Yanyan Zheng, Senxiang Wu, Jie Chen, Qiong Yao, Siyu Zheng

    Published 2025-05-01
    “…Decoding motor imagery (MI) electroencephalogram (EEG) signals in the brain–computer interface (BCI) can assist patients in accelerating motor function recovery. …”
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    Can Emotional and Behavioral Dysregulation in Youth Be Decoded from Functional Neuroimaging? by Liana C L Portugal, Maria João Rosa, Anil Rao, Genna Bebko, Michele A Bertocci, Amanda K Hinze, Lisa Bonar, Jorge R C Almeida, Susan B Perlman, Amelia Versace, Claudiu Schirda, Michael Travis, Mary Kay Gill, Christine Demeter, Vaibhav A Diwadkar, Gary Ciuffetelli, Eric Rodriguez, Erika E Forbes, Jeffrey L Sunshine, Scott K Holland, Robert A Kowatch, Boris Birmaher, David Axelson, Sarah M Horwitz, Eugene L Arnold, Mary A Fristad, Eric A Youngstrom, Robert L Findling, Mirtes Pereira, Leticia Oliveira, Mary L Phillips, Janaina Mourao-Miranda

    Published 2016-01-01
    “…Furthermore, identifying neuroimaging biomarkers related to dimensional measures of behavior may provide targets to guide individualized treatment. We aimed to use functional neuroimaging and pattern regression techniques to determine whether patterns of brain activity could accurately decode individual-level severity on a dimensional scale measuring behavioural and emotional dysregulation at two different time points.…”
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    Working-memory load decoding model inspired by brain cognition based on cross-frequency coupling by Jing Zhang, Tingyi Tan, Yuhao Jiang, Congming Tan, Liangliang Hu, Daowen Xiong, Yikang Ding, Guowei Huang, Junjie Qin, Yin Tian

    Published 2025-02-01
    “…Working memory, a fundamental cognitive function of the brain, necessitates the evaluation of cognitive load intensity due to limited cognitive resources. …”
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