Nearly all mammals display robust daily rhythms of physiology and behavior. These
approximately 24-h cycles, known as circadian rhythms, are driven by a master clock in the …

Stress, encompassing psychological, physical, and physiological challenges, is an important
factor affecting an individual's well-being and potentially leading to psychiatric …

The deposition of amyloid-β (Aβ) in the brain is a risk factor for Alzheimer's disease (AD).
Therefore, new strategies for the stimulation of Aβ clearance from the brain can be useful in …

Background Wide-field calcium imaging (WFCI) allows for monitoring of cortex-wide neural
dynamics in mice. When applied to the study of sleep, WFCI data are manually scored into …

Abstract Study Objectives Sleep is an important biological process that is perturbed in
numerous diseases, and assessment of its substages currently requires implantation of …

We developed a real-time sleep stage classification system with a convolutional neural
network using only a one-channel electro-encephalogram source from mice and universally …

Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate
the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which …

Abstract Machine learning has been applied in recent years to categorize sleep stages
(NREM, REM, and wake) using electroencephalogram (EEG) recordings; however, a well …

Transcranial focused ultrasound stimulation (tFUS) is an effective noninvasive treatment
modality for brain disorders with high clinical potential. However, the therapeutic effects of …

The brain–computer interface (BCI) is one of the most powerful tools in neuroscience and
generally includes a recording system, a processor system, and a stimulation system …