We are continuously bombarded by external inputs of various timescales from the
environment. How does the brain process this multitude of timescales? Recent resting state …

We process and integrate multiple timescales into one meaningful whole. Recent evidence
suggests that the brain displays a complex multiscale temporal organization. Different …

Classifying different object categories is one of the most important aims of brain–computer
interface researches. Recently, interactions between brain regions were studied using …

In this chapter, we postulate an integral concept of information processing in the universe,
on the basis of a new biophysical principle, coined the generalized music (GM)-scale of EMF …

Based on the Hodgkin-Huxley model, the present study established a fully connected
structural neural network to simulate the neural activity and energy consumption of the …

The aim of this paper is to explore the phenomenon of aperiodic stochastic resonance in
neural systems with colored noise. For nonlinear dynamical systems driven by Gaussian …

Epilepsy is a chronic disorder, which causes strange perceptions, muscle spasms,
sometimes seizures, and loss of awareness, associated with abnormal neuronal activity in …

Spontaneous brain activities consume most of the brain's energy. So if we want to
understand how the brain operates, we must take into account these spontaneous activities …

Background. Primary blepharospasm (BSP) is one of the most common focal dystonia and
its pathophysiological mechanism remains unclear. An unbiased method was used in …

This paper is a comment on both Bunamano and Rovelli (Bridging the neuroscience and
physics of time arXiv: 2110.01976.(2022)) and Gruber et al.(in Front. Psychol. Hypothesis …