AIMC Topic: Brain

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A data augmentation procedure to improve detection of spike ripples in brain voltage recordings.

Neuroscience research Aug 3, 2024
Epilepsy is a major neurological disorder characterized by recurrent, spontaneous seizures. For patients with drug-resistant epilepsy, treatments include neurostimulation or surgical removal of the epileptogenic zone (EZ), the brain region responsibl...
Humans Electroencephalography Epilepsy Drug Resistant Epilepsy Neural Networks, Computer Brain
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Fusing multi-scale functional connectivity patterns via Multi-Branch Vision Transformer (MB-ViT) for macaque brain age prediction.

Neural networks : the official journal of the International Neural Network Society Aug 3, 2024
Brain age (BA) is defined as a measure of brain maturity and could help characterize both the typical brain development and neuropsychiatric disorders in mammals. Various biological phenotypes have been successfully applied to predict BA of human usi...
Brain Mapping Macaca mulatta Deep Learning Magnetic Resonance Imaging Male Aging Brain Neural Networks, Computer Animals
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EEG-VTTCNet: A loss joint training model based on the vision transformer and the temporal convolution network for EEG-based motor imagery classification.

Neuroscience Aug 3, 2024
Brain-computer interface (BCI) is a technology that directly connects signals between the human brain and a computer or other external device. Motor imagery electroencephalographic (MI-EEG) signals are considered a promising paradigm for BCI systems,...
Neural Networks, Computer Brain Humans Electroencephalography Imagination Brain-Computer Interfaces
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A novel graph neural network method for Alzheimer's disease classification.

Computers in biology and medicine Aug 2, 2024
Alzheimer's disease (AD) is a chronic neurodegenerative disease. Early diagnosis are very important to timely treatment and delay the progression of the disease. In the past decade, many computer-aided diagnostic (CAD) algorithms have been proposed f...
Algorithms Databases, Factual Diagnosis, Computer-Assisted Alzheimer Disease Brain Humans Neural Networks, Computer
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BrainNPT: Pre-Training Transformer Networks for Brain Network Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 2, 2024
Deep learning methods have advanced quickly in brain imaging analysis over the past few years, but they are usually restricted by the limited labeled data. Pre-trained model on unlabeled data has presented promising improvement in feature learning in...
Deep Learning Magnetic Resonance Imaging Humans Natural Language Processing Neural Networks, Computer Nerve Net Algorithms Brain
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Identifying Heterogeneous Micromechanical Properties of Biological Tissues via Physics-Informed Neural Networks.

Small methods Aug 1, 2024
The heterogeneous micromechanical properties of biological tissues have profound implications across diverse medical and engineering domains. However, identifying full-field heterogeneous elastic properties of soft materials using traditional enginee...
Brain Breast Neoplasms Stress, Mechanical Elasticity Biomechanical Phenomena Machine Learning Algorithms Humans Neural Networks, Computer
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State of the Art of Brain Function Detection Technologies in Robot-Assisted Lower Limb Rehabilitation.

Brain connectivity Aug 1, 2024
With an aging population, the prevalence of neurological disorders is increasing, leading to a rise in lower limb movement disorders and, in turn, a growing need for rehabilitation training. Previous neuroimaging studies have shown a growing scienti...
Humans Lower Extremity Brain Robotics Neuronal Plasticity
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Flexible gating between subspaces in a neural network model of internally guided task switching.

Nature communications Aug 1, 2024
Behavioral flexibility relies on the brain's ability to switch rapidly between multiple tasks, even when the task rule is not explicitly cued but must be inferred through trial and error. The underlying neural circuit mechanism remains poorly underst...
Brain Animals Humans Neural Networks, Computer Nerve Net Interneurons Models, Neurological Neurons
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Determinantal point process attention over grid cell code supports out of distribution generalization.

eLife Aug 1, 2024
Deep neural networks have made tremendous gains in emulating human-like intelligence, and have been used increasingly as ways of understanding how the brain may solve the complex computational problems on which this relies. However, these still fall ...
Humans Models, Neurological Brain Attention Neural Networks, Computer Animals Grid Cells Entorhinal Cortex Algorithms
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Brain MRI detection and classification: Harnessing convolutional neural networks and multi-level thresholding.

PloS one Aug 1, 2024
Brain tumor detection in clinical applications is a complex and challenging task due to the intricate structures of the human brain. Magnetic Resonance (MR) imaging is widely preferred for this purpose because of its ability to provide detailed image...
Brain Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Brain Humans Neural Networks, Computer
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