The EEG decoder provides an acupuncture-brain interface linking somatosensory stimulations with neural representations, an effective scheme for revealing clinical efficacy of acupuncture treatment.

This study presents useful findings on how the transient absence of visual input (i.e., darkness) affects tactile neural encoding in the somatosensory cortex. The evidence supporting the authors' ...

Swaminathan Sethuraman, a data engineer, bridges AI theory and practice with research on continuous learning and neural ...

For robots to be successfully introduced in a wider range of real-world settings, they should be able to safely and reliably ...

Recent discoveries of how the brain works have shifted focus to brain networks, offering potential new hope for people ...

A Bayesian decoder was employed to calculate the posterior probabilities of all position bins. This method assumes that transient counts follow a Poisson distribution and combines transient counts and ...

In order to solve these pressing issues, this work proposes a novel multiview deep neural network (DNN) model, namely, optimal discriminant multiview tensor convolutional network (ODMTCNet), which ...

In this study, a computational method was explored for drug repositioning using both graph-based representation for Graph Neural Networks (GNN) and feature-based representations for Machine Learning ...

Figure 1. Architecture of MD-Syn. The computational framework of MD-Syn consists of a one-dimensional feature embedding module (1D-FEM), a two-dimensional feature embedding module (2D-FEM), and a ...