Convolutional neural network (CNN) driven by image recognition has been shown to be
able to explain cortical responses to static pictures at ventral-stream areas. Here, we further …

Goal-driven and feedforward-only convolutional neural networks (CNN) have been shown
to be able to predict and decode cortical responses to natural images or videos. Here, we …

Oscillatory electrical brain activity in the alpha (8–13Hz) band is a prominent feature of
human electroencephalography (EEG) during alert wakefulness, and is commonly thought to …

Exploiting superhydrophobic materials with low-cost, versatility and excellent reusability is
still challenging for marine oil spill pollution problem. Here, we develop a superhydrophobic …

Recent resting-state fMRI studies have shown that the apparent functional connectivity (FC)
between brain regions may undergo changes on time-scales of seconds to minutes, the …

Neurophysiological field-potential signals consist of both arrhythmic and rhythmic patterns
indicative of the fractal and oscillatory dynamics arising from likely distinct mechanisms. Here, …

Brain activity and connectivity are distributed in the three-dimensional space and evolve in
time. It is important to image brain dynamics with high spatial and temporal resolution. …

Foxp3 + regulatory T (T reg ) cells suppress different types of immune responses to help
maintain homeostasis in the body. How T reg cells regulate humoral immunity, including …

Noninvasive functional neuroimaging, as an important tool for basic neuroscience research
and clinical diagnosis, continues to face the need of improving the spatial and temporal …

We have developed a novel approach using source analysis for classifying motor imagery
tasks. Two-equivalent-dipoles analysis was proposed to aid classification of motor imagery …