A5108040241- Advanced MRI Techniques and Applications
- Acoustic Wave Resonator Technologies
- Functional Brain Connectivity Studies
- Multiferroics and related materials
- Magnetic properties of thin films
- EEG and Brain-Computer Interfaces
Center for Translational Research in Neuroimaging and Data Science
2024
Georgia Institute of Technology
2024
Georgia State University
2024
Emory University
2024
Moscow Institute of Physics and Technology
2020
Institute of Radio-Engineering and Electronics
2020
It is shown theoretically that in a layered heterostructure comprising piezoelectric, dielectric antiferromagnetic crystal, and heavy metal (PZ/AFM/HM), it possible to control the anisotropy of AFM layer by applying dc voltage across PZ layer. In particular, we show varying and/or current HM, vary frequency resonance passive (subcritical) regime and, also, reduce threshold current-induced terahertz-frequency generation. Our analysis also shows that, unfortunately, voltage-induced reduction...
Current neuroimaging studies frequently use complex machine learning models to classify human fMRI data, distinguishing healthy and disordered brains, often validate new methods or enhance prediction accuracy. Yet, where accuracy is a concern, our results suggest that precision in does not always require such sophistication. When classifier as simple logistic regression applied feature-engineered it can match even outperform more sophisticated recent models. Classification of the raw time...