Representation of Internal Speech by Single Neurons in Human Supramarginal Gyrus

“Internal Speech Representation by Single Neurons in Human Supramarginal Gyrus” Scientific Report Background In recent years, Brain-Machine Interfaces (BMIs) technology has made significant advancements in the field of speech decoding. BMIs enable those who have lost the ability to speak due to disease or injury to communicate again by converting b...

Negation Mitigates Rather Than Inverts the Neural Representations of Adjectives

Background Introduction A notable characteristic of human language processing is our ability to combine stored lexical elements, i.e., words, as needed to flexibly generate or alter current meanings. At the core of this process is how we construct semantic representations in real time. Although research on the generation of syntactic structures has...

Preparatory Movement State Enhances Premovement EEG Representations for Brain-Computer Interfaces

EEG of Pre-movement Phase Aids Brain-Computer Interface (BCI) in Recognizing Movement Intentions Background and Research Objectives Brain-Computer Interface (BCI) is a technology that translates human intentions directly through neural signals to control devices, holding extensive application prospects [1]. BCI has the potential to revolutionize va...