Trends in EEG-BCI for daily-life: Requirements for artifact removal
J Minguillon, MA Lopez-Gordo, F Pelayo - Biomedical Signal Processing …, 2017 - Elsevier
Since the discovery of the EEG principles by Berger in the 20's, procedures for artifact
removal have been essential in its pre-processing. In literature, diverse approaches based …
removal have been essential in its pre-processing. In literature, diverse approaches based …
Hybrid deep learning (hDL)-based brain-computer interface (BCI) systems: a systematic review
NA Alzahab, L Apollonio, A Di Iorio, M Alshalak… - Brain sciences, 2021 - mdpi.com
Background: Brain-Computer Interface (BCI) is becoming more reliable, thanks to the
advantages of Artificial Intelligence (AI). Recently, hybrid Deep Learning (hDL), which …
advantages of Artificial Intelligence (AI). Recently, hybrid Deep Learning (hDL), which …
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface
F Mattioli, C Porcaro… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. Brain-computer interface (BCI) aims to establish communication paths between
the brain processes and external devices. Different methods have been used to extract …
the brain processes and external devices. Different methods have been used to extract …
Speaker gaze increases information coupling between infant and adult brains
When infants and adults communicate, they exchange social signals of availability and
communicative intention such as eye gaze. Previous research indicates that when …
communicative intention such as eye gaze. Previous research indicates that when …
Thinking out loud, an open-access EEG-based BCI dataset for inner speech recognition
Surface electroencephalography is a standard and noninvasive way to measure electrical
brain activity. Recent advances in artificial intelligence led to significant improvements in the …
brain activity. Recent advances in artificial intelligence led to significant improvements in the …
Electroencephalographic fractal dimension in healthy ageing and Alzheimer's disease
Brain activity is complex; a reflection of its structural and functional organization. Among
other measures of complexity, the fractal dimension is emerging as being sensitive to …
other measures of complexity, the fractal dimension is emerging as being sensitive to …
Exploiting the intra-subject latency variability from single-trial event-related potentials in the P3 time range: a review and comparative evaluation of methods
The intra-subject variability (ISV) in brain responses during cognitive processing across
experimental trials has been recognised as an important facet of neural functionality …
experimental trials has been recognised as an important facet of neural functionality …
The closer they are, the more they interfere: Semantic similarity of word distractors increases competition in language production.
SB Rose, S Aristei, A Melinger… - Journal of Experimental …, 2019 - psycnet.apa.org
Heterogeneous effects of semantic distance in language production have sparked a debate
on the central assumption of many language production models, namely that lexical …
on the central assumption of many language production models, namely that lexical …
The acoustic features and didactic function of foreigner-directed speech: A scoping review
Purpose: This scoping review considers the acoustic features of a clear speech register
directed to nonnative listeners known as foreigner-directed speech (FDS). We identify vowel …
directed to nonnative listeners known as foreigner-directed speech (FDS). We identify vowel …
Scaling law in neural data: Non-invasive speech decoding with 175 hours of eeg data
Brain-computer interfaces (BCIs) hold great potential for aiding individuals with speech
impairments. Utilizing electroencephalography (EEG) to decode speech is particularly …
impairments. Utilizing electroencephalography (EEG) to decode speech is particularly …