AIMC Topic: Brain
Clear Filters Showing 1441 to 1450 of 4192 articles
Schema formation in a neural population subspace underlies learning-to-learn in flexible sensorimotor problem-solving.
Nature neuroscience
Apr 6, 2023
Learning-to-learn, a progressive speedup of learning while solving a series of similar problems, represents a core process of knowledge acquisition that draws attention in both neuroscience and artificial intelligence. To investigate its underlying b...
Applications of artificial intelligence-machine learning for detection of stress: a critical overview.
Molecular psychiatry
Apr 5, 2023
Psychological distress is a major contributor to human physiology and pathophysiology, and it has been linked to several conditions, such as auto-immune diseases, metabolic syndrome, sleep disorders, and suicidal thoughts and inclination. Therefore, ...
Physics-informed deep learning approach to quantification of human brain metabolites from magnetic resonance spectroscopy data.
Computers in biology and medicine
Apr 5, 2023
PURPOSE: While the recommended analysis method for magnetic resonance spectroscopy data is linear combination model (LCM) fitting, the supervised deep learning (DL) approach for quantification of MR spectroscopy (MRS) and MR spectroscopic imaging (MR...
A neurocognitive view on the depiction of social robots.
The Behavioral and brain sciences
Apr 5, 2023
While we applaud the careful breakdown by Clark and Fischer of the representation of social robots held by the human user, we emphasise that a neurocognitive perspective is crucial to fully capture how people perceive and construe social robots at th...
A Survey on Brain Effective Connectivity Network Learning.
IEEE transactions on neural networks and learning systems
Apr 4, 2023
Human brain effective connectivity characterizes the causal effects of neural activities among different brain regions. Studies of brain effective connectivity networks (ECNs) for different populations contribute significantly to the understanding of...
Pushing the limits of low-cost ultra-low-field MRI by dual-acquisition deep learning 3D superresolution.
Magnetic resonance in medicine
Apr 3, 2023
PURPOSE: Recent development of ultra-low-field (ULF) MRI presents opportunities for low-power, shielding-free, and portable clinical applications at a fraction of the cost. However, its performance remains limited by poor image quality. Here, a compu...
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation.
NeuroImage
Apr 3, 2023
White matter fiber clustering is an important strategy for white matter parcellation, which enables quantitative analysis of brain connections in health and disease. In combination with expert neuroanatomical labeling, data-driven white matter fiber ...
Attention Deficit Hyperactivity Disorder Classification Based on Deep Learning.
IEEE/ACM transactions on computational biology and bioinformatics
Apr 3, 2023
Attention Deficit Hyperactivity Disorder (ADHD) is a type of mental health disorder that can be seen from children to adults and affects patients' normal life. Accurate diagnosis of ADHD as early as possible is very important for the treatment of pat...
Meta-learning biologically plausible plasticity rules with random feedback pathways.
Nature communications
Mar 31, 2023
Backpropagation is widely used to train artificial neural networks, but its relationship to synaptic plasticity in the brain is unknown. Some biological models of backpropagation rely on feedback projections that are symmetric with feedforward connec...
An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry.
Neural networks : the official journal of the International Neural Network Society
Mar 30, 2023
Learning to navigate a complex environment is not a difficult task for a mammal. For example, finding the correct way to exit a maze following a sequence of cues, does not need a long training session. Just a single or a few runs through a new enviro...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32557
- Neural Networks, Computer 30510
- Algorithms 27757
- Deep Learning 27309
- Artificial Intelligence 25232
- Robotics 13437
- Image Processing, Computer-Assisted 9895
- Retrospective Studies 9539
- Magnetic Resonance Imaging 6485
- Reproducibility of Results 5747
- Tomography, X-Ray Computed 4963
- Support Vector Machine 4816
- Computational Biology 4399
- Brain 4188
- Computer Simulation 3965
Recent Journals
- Scientific reports 7016
- Sensors (Basel, Switzerland) 4794
- PloS one 4344
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2040
- Computational intelligence and neuroscience 1931
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
- IEEE journal of biomedical and health informatics 1202
- Journal of chemical information and modeling 1092
- Nature communications 1072
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 884
- Bioinformatics (Oxford, England) 882
- IEEE transactions on neural networks and learning systems 860