AIMC Topic: Brain Mapping
Clear Filters Showing 201 to 210 of 523 articles
Disentangling time series between brain tissues improves fMRI data quality using a time-dependent deep neural network.
NeuroImage
Sep 6, 2020
Functional MRI (fMRI) is a prominent imaging technique to probe brain function, however, a substantial proportion of noise from multiple sources influences the reliability and reproducibility of fMRI data analysis and limits its clinical applications...
fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.
NeuroImage
Sep 5, 2020
Deep-learning methods based on deep neural networks (DNNs) have recently been successfully utilized in the analysis of neuroimaging data. A convolutional neural network (CNN) is a type of DNN that employs a convolution kernel that covers a local area...
Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data.
Human brain mapping
Sep 2, 2020
This study explores how the human brain solves the challenge of flicker noise in motion processing. Despite providing no useful directional motion information, flicker is common in the visual environment and exhibits omnidirectional motion energy whi...
Machine Learning in Neuroimaging: A New Approach to Understand Acupuncture for Neuroplasticity.
Neural plasticity
Aug 24, 2020
The effects of acupuncture facilitating neural plasticity for treating diseases have been identified by clinical and experimental studies. In the last two decades, the application of neuroimaging techniques in acupuncture research provided visualized...
Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task.
Journal of neuroengineering and rehabilitation
Aug 10, 2020
BACKGROUND: Experimental designs using surrogate gait-like movements, such as in functional magnetic resonance imaging (MRI), cannot fully capture the cortical activation associated with overground gait. Overground gait in a robotic exoskeleton may b...
The formation and use of hierarchical cognitive maps in the brain: A neural network model.
Network (Bristol, England)
Aug 3, 2020
Many researchers have tried to model how environmental knowledge is learned by the brain and used in the form of cognitive maps. However, previous work was limited in various important ways: there was little consensus on how these cognitive maps were...
Probing the neural dynamics of mnemonic representations after the initial consolidation.
NeuroImage
Jul 31, 2020
Memories are not stored as static engrams, but as dynamic representations affected by processes occurring after initial encoding. Previous studies revealed changes in activity and mnemonic representations in visual processing areas, parietal lobe, an...
Support Vector Machine
Magnetic Resonance Imaging
Brain Mapping
Cues
Young Adult
Adult
Male
Adolescent
Mental Recall
Pattern Recognition, Visual
Spatial Memory
Association Learning
Memory Consolidation
Image Interpretation, Computer-Assisted
Hippocampus
Humans
Cerebral Cortex
Female
Memory, Episodic
Developing a neurally informed ontology of creativity measurement.
NeuroImage
Jul 16, 2020
A central challenge for creativity research-as for all areas of experimental psychology and cognitive neuroscience-is to establish a mapping between constructs and measures (i.e., identifying a set of tasks that best captures a set of creative abilit...
Outcome prediction with resting-state functional connectivity after cardiac arrest.
Scientific reports
Jul 16, 2020
Predicting outcome in comatose patients after successful cardiopulmonary resuscitation is challenging. Our primary aim was to assess the potential contribution of resting-state-functional magnetic resonance imaging (RS-fMRI) in predicting neurologica...
Time-resolved neurotransmitter detection in mouse brain tissue using an artificial intelligence-nanogap.
Scientific reports
Jul 9, 2020
The analysis of neurotransmitters in the brain helps to understand brain functions and diagnose Parkinson's disease. Pharmacological inhibition experiments, electrophysiological measurement of action potentials, and mass analysers have been applied f...
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 32021
- Neural Networks, Computer 30231
- Algorithms 27405
- Deep Learning 26912
- Artificial Intelligence 24844
- Robotics 13389
- Image Processing, Computer-Assisted 9738
- Retrospective Studies 9346
- Magnetic Resonance Imaging 6347
- Reproducibility of Results 5670
- Tomography, X-Ray Computed 4866
- Support Vector Machine 4771
- Computational Biology 4333
- Brain 4129
- Computer Simulation 3935
Recent Journals
- Scientific reports 6800
- Sensors (Basel, Switzerland) 4794
- PloS one 4210
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1916
- 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 1378
- IEEE journal of biomedical and health informatics 1172
- Journal of chemical information and modeling 1066
- Nature communications 1047
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 874
- Journal of medical Internet research 864
- Briefings in bioinformatics 853