AIMC Topic: Magnetoencephalography

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In Vivo Assay of Cortical Microcircuitry in Frontotemporal Dementia: A Platform for Experimental Medicine Studies.

Cerebral cortex (New York, N.Y. : 1991) Feb 5, 2021
The analysis of neural circuits can provide crucial insights into the mechanisms of neurodegeneration and dementias, and offer potential quantitative biological tools to assess novel therapeutics. Here we use behavioral variant frontotemporal dementi...
Humans Models, Neurological Signal Processing, Computer-Assisted Middle Aged Neural Pathways Magnetoencephalography Cerebral Cortex Frontotemporal Dementia Aged Brain Male Female Biomedical Research Machine Learning
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Porthole and Stormcloud: Tools for Visualisation of Spatiotemporal M/EEG Statistics.

Neuroinformatics Jun 1, 2020
Electro- and magneto-encephalography are functional neuroimaging modalities characterised by their ability to quantify dynamic spatiotemporal activity within the brain. However, the visualisation techniques used to illustrate these effects are curren...
Cross-Sectional Studies Brain Mapping Brain Magnetoencephalography Signal Processing, Computer-Assisted Electroencephalography Machine Learning Humans
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Decoding Speech from Single Trial MEG Signals Using Convolutional Neural Networks and Transfer Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Decoding speech directly from the brain has the potential for the development of the next generation, more efficient brain computer interfaces (BCIs) to assist in the communication of patients with locked-in syndrome (fully paralyzed but aware). In t...
Magnetoencephalography Speech Brain-Computer Interfaces Machine Learning Neural Networks, Computer Humans
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Chaos versus noise as drivers of multistability in neural networks.

Chaos (Woodbury, N.Y.) Oct 1, 2018
The multistable behavior of neural networks is actively being studied as a landmark of ongoing cerebral activity, reported in both functional Magnetic Resonance Imaging (fMRI) and electro- or magnetoencephalography recordings. This consists of a cont...
Data Collection Synapses Cluster Analysis Nonlinear Dynamics Neural Conduction Algorithms Oscillometry Models, Neurological Temperature Magnetoencephalography Ion Channels Magnetic Resonance Imaging Stochastic Processes Neural Networks, Computer Humans
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Artificial neural network detects human uncertainty.

Chaos (Woodbury, N.Y.) Mar 1, 2018
Artificial neural networks (ANNs) are known to be a powerful tool for data analysis. They are used in social science, robotics, and neurophysiology for solving tasks of classification, forecasting, pattern recognition, etc. In neuroscience, ANNs allo...
Uncertainty Magnetoencephalography Signal Processing, Computer-Assisted Reproducibility of Results Neural Networks, Computer Humans Female Male Adult
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