In their insightful piece, Press et al. scrutinize predictive processing theories of perception [1], which hold that perception involves inferences based on prior beliefs and prediction errors: in some cases, priors explain away incoming data, facilitating the processing of surprising events. In other cases, events consistent with priors are afforded extra processing. How can this […]

At present, the diagnosis of brain disease is mainly based on the self-reported symptoms and clinical signs of the patient, which can easily lead to psychiatrists’ bias. The purpose of this study is to develop a brain network clustering model to accurately identify brain diseases based on resting state functional magnetic resonance imaging (fMRI) in […]

A non-invasive, brain-to-brain interface (BBI) requires precision neuromodulation and high temporal resolution as well as portability to increase accessibility. A BBI is a combination of the brain–computer interface (BCI) and the computer–brain interface (CBI). The optimization of BCI parameters has been extensively researched, but CBI has not. Parameters taken from the BCI and CBI literature […]