AIMC Topic: Brain

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Recurrent neural network-aided processing of incomplete free induction decays in H-MRS of the brain.

Journal of magnetic resonance (San Diego, Calif. : 1997) Sep 12, 2024
In the case of limited sampling windows or truncation of free induction decays (FIDs) for artifact removal in proton magnetic resonance spectroscopy (H-MRS) and spectroscopic imaging (H-MRSI), metabolite quantification needs to be performed on incomp...
Male Artifacts Proton Magnetic Resonance Spectroscopy Brain Female Adult Neural Networks, Computer Algorithms Humans
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Localized estimation of event-related neural source activity from simultaneous MEG-EEG with a recurrent neural network.

Neural networks : the official journal of the International Neural Network Society Sep 11, 2024
Estimating intracranial current sources underlying the electromagnetic signals observed from extracranial sensors is a perennial challenge in non-invasive neuroimaging. Established solutions to this inverse problem treat time samples independently wi...
Brain Female Evoked Potentials Adult Magnetoencephalography Male Electroencephalography Humans Signal Processing, Computer-Assisted Neural Networks, Computer
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Optimizing graph neural network architectures for schizophrenia spectrum disorder prediction using evolutionary algorithms.

Computer methods and programs in biomedicine Sep 11, 2024
BACKGROUND AND OBJECTIVE: The accurate diagnosis of schizophrenia spectrum disorder plays an important role in improving patient outcomes, enabling timely interventions, and optimizing treatment plans. Functional connectivity analysis, utilizing func...
Humans Magnetic Resonance Imaging Neural Networks, Computer Schizophrenia Machine Learning Adult Algorithms Male Brain Deep Learning Female
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Research on shared control of robots based on hybrid brain-computer interface.

Journal of neuroscience methods Sep 11, 2024
BACKGROUND: With the arrival of the new generation of artificial intelligence wave, new human-robot interaction technologies continue to emerge. Brain-computer interface (BCI) offers a pathway for state monitoring and interaction control between huma...
Electromyography Brain-Computer Interfaces Male Robotics Electroencephalography Humans Brain Female Young Adult Adult
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Bio-Plausible Multimodal Learning with Emerging Neuromorphic Devices.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 11, 2024
Multimodal machine learning, as a prospective advancement in artificial intelligence, endeavors to emulate the brain's multimodal learning abilities with the objective to enhance interactions with humans. However, this approach requires simultaneous ...
Brain Neural Networks, Computer Artificial Intelligence Machine Learning Humans
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SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals.

Computers in biology and medicine Sep 11, 2024
Deep learning has revolutionized EEG decoding, showcasing its ability to outperform traditional machine learning models. However, unlike other fields, EEG decoding lacks comprehensive open-source libraries dedicated to neural networks. Existing tools...
Humans Deep Learning Electroencephalography Signal Processing, Computer-Assisted Neural Networks, Computer Software Brain Benchmarking
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Temporal dynamic alterations of regional homogeneity in major depressive disorder: a study integrating machine learning.

Neuroreport Sep 11, 2024
Previous studies have found alterations in the local regional homogeneity of brain activity in individuals diagnosed with major depressive disorder. However, many studies have failed to consider that even during resting states, brain activity is dyna...
Brain Mapping Adult Depressive Disorder, Major Male Brain Support Vector Machine Humans Middle Aged Magnetic Resonance Imaging Female Machine Learning Young Adult
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Sex-Specific Imaging Biomarkers for Parkinson's Disease Diagnosis: A Machine Learning Analysis.

Journal of imaging informatics in medicine Sep 10, 2024
This study aimed to identify sex-specific imaging biomarkers for Parkinson's disease (PD) based on multiple MRI morphological features by using machine learning methods. Participants were categorized into female and male subgroups, and various struct...
Biomarkers Brain Female Humans Machine Learning Magnetic Resonance Imaging Aged Parkinson Disease Male Sex Factors Middle Aged
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A multiscale distributed neural computing model database (NCMD) for neuromorphic architecture.

Neural networks : the official journal of the International Neural Network Society Sep 10, 2024
Distributed neuromorphic architecture is a promising technique for on-chip processing of multiple tasks. Deploying the constructed model in a distributed neuromorphic system, however, remains time-consuming and challenging due to considerations such ...
Synapses Models, Neurological Action Potentials Neurons Brain Computer Simulation Humans Neural Networks, Computer Artificial Intelligence Databases, Factual
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Bilinear Perceptual Fusion Algorithm Based on Brain Functional and Structural Data for ASD Diagnosis and Regions of Interest Identification.

Interdisciplinary sciences, computational life sciences Sep 10, 2024
Autism spectrum disorder (ASD) is a serious mental disorder with a complex pathogenesis mechanism and variable presentation among individuals. Although many deep learning algorithms have been used to diagnose ASD, most of them focus on a single modal...
Deep Learning Humans Neural Networks, Computer Algorithms Autism Spectrum Disorder Brain
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