RESEARCH

fMRI data based emotion prediction using deep neural network (DNN) models

Feature extraction of fMRI resting-state using Restricted Boltzmann Machine (RBM) and Deep Belief Network (DBN) models

3D fMRI volume classification using convolutional neural network (CNN) models 

Recursive approach of principal component analysis (PCA) to reduce artifacts in EEG simultaneously acquired with fMRI

Task-agnostic and self-organized intelligence for multi-modal continual learning

Discrete Dictionary-based Decomposition Layer for Structured Representation Learning 

Identification of functional features of mindfulness on real-time fMRI neurofeedback

Transfer learning-based Motor Imagery classification using EEG

Object detection in surveillance video using EEG with domain  adaptation and ensemble approach

Eye-tracking based field-of-view control of 360° panoramic video clips for naturalistic viewing paradigm

Regular tobacco cigarette, not electronic cigarette, smoking influences working memory process

Spectral dynamic causal modeling of mindfulness, mind-wandering, and resting-state in the triple network using fMRI

Transcranial focused ultrasound functionally modulates cortical and thalamic motor areas in awake sheep

Focused ultrasound enhances the anesthetic effects of topical lidocaine in rats

Transcutaneous application of ultrasound enhances the effects of finasteride in murine model of androgenic alopecia