Search · four archives
Search · four archives
17 papers · ranked by Valyu relevance
Hanneke Scheppink, Rainer Herpers, Jordy Thielen, Ivan Volosyak
A code-modulated motion visual evoked potential (c-MVEP) for brain-computer interfacing (BCI) is presented in this study. This paradigm uses pseudo-random sequences to visually stimulate objects using motion as an alternative to flickering. In an offline experiment of this study, EEG data were recorded and compared…
Milán András Fodor, Hannah Herschel, Atilla Cantürk, Gernot Heisenberg + 1 more
'Gernot Heisenberg' 'Ivan Volosyak'] Brain-computer interfaces (BCIs) enable direct communication between the brain and external devices using electroencephalography (EEG) signals. BCIs based on code-modulated visual evoked potentials (cVEPs) are based on visual stimuli, thus appropriate visual feedback on the…
Kiran Nair, Hubert Cecotti
Non-invasive Brain-Computer Interfaces (BCIs) based on Code-Modulated Visual Evoked Potentials (C-VEPs) require highly robust decoding methods to address temporal variability and session-dependent noise in EEG signals. This study proposes and evaluates several deep learning architectures, including convolutional neural…
K. Cabrera Castillos, S. Ladouce, L. Darmet, F. Dehais
The Steady State Visual Evoked Potential (SSVEP) is a widely used technique in Brain-Computer Interface (BCI) research due to its high information transfer rate. However, this method has some limitations, including lengthy calibration time and visual fatigue. Recent studies have explored the use of code-modulated…
Raika Karimi, Arash Mohammadi, Amir Asif, Habib Benali
Recent advancements in Electroencephalography (EEG) sensor technologies and signal processing algorithms have paved the way for further evolution of Brain Computer Interfaces (BCI) in several practical applications ranging from rehabilitation systems to smart consumer technologies. When it comes to Signal Processing…
Runhao Lu, Elizabeth Michael, Catriona L. Scrivener, Jade B. Jackson + 2 more
Selective attention is a fundamental cognitive mechanism that allows people to prioritise task-relevant information while ignoring irrelevant information. Previous research has suggested key roles of parietal evoked potentials like N2pc, and parietal oscillatory responses like alpha power, in spatial attention tasks.…
Harvey Huang, Kendrick N. Kay, Nicholas M. Gregg, Gabriela Ojeda Valencia + 7 more
While single pulse electrical stimulation had different effects on evoked potentials and broadband responses, our results showed that modulation of VEPs and a significant stimulation-induced broadband response often occurred together. This general pattern emerged at the group level across all visually responsive…
Xiaolin Xiao, Runyuan Gao, Xiaoyu Zhou, Weibo Yi + 4 more
'Kun Wang' 'Minpeng Xu' 'Dong Ming'] Introduction Traditional visual Brain-Computer Interfaces (v-BCIs) usually use large-size stimuli to attract more attention from users and then elicit more distinct and robust EEG responses, which would cause visual fatigue and limit the length of use of the system. On the contrary…
János Rokai, Melinda Rácz, Melinda Becske, János Csipor + 3 more
In recent years, commercial lightweight electroencephalography (EEG) headsets are gaining popularity in neuroscience. These devices commonly utilize only a few dry electrodes in specific locations and signal quality is often inferior compared to that of their traditional counterparts. In this study, we wanted to assess…
Harvey Huang, Kendrick N. Kay, Nicholas M. Gregg, Gabriela Ojeda Valencia + 6 more
Electrical stimulation is increasingly used to modulate brain networks for clinical purposes. The basic unit of neurostimulation, a single electrical pulse, can travel through white matter to influence connected neuronal populations. However, the mechanisms by which it influences connected populations is not well…
Kieran S Mohr, Anna C Geuzebroek, Simon P Kelly
Central to our understanding of how visual evoked potentials (VEPs) contribute to visual processing is the question of where their anatomical sources are. Three well-established measures of low-level visual cortical activity are widely used: the first component (“C1”) of the transient and multifocal VEP, and the…
Sabine Baumgarten, Tabea Hoberg, Tibor Lohmann, Babac Mazinani + 2 more
'Peter Walter' 'Antonis Koutsonas'] Purpose Visual evoked potentials (VEP) present an important diagnostic tool in various ophthalmologic and neurologic diseases. Quantitative response data varied among patients but are also dependent on the recording and stimulating equipment. We established VEP reference values for…
Bartu Atabek, Efecan Yilmaz, Cengiz Acartürk, Murat Perit Çakır
—Objective: This paper proposes a novel type of stimulus in the shape of sinusoidal gratings displayed with an imperceptibly high-frequency motion. The stimulus has been designed for use in BCI (Brain Computer Interface) applications that employ visually evoked potentials (VEPs) in an effort to mitigate discomfort…
Patricia Naomi Limon, Anthony M. Norcia, Ryan Thomas Ash
Stimulus-specific response potentiation (SSRP) is a non-invasive form of cortical neuroplasticity that can be induced through repeated presentation of high-contrast visual stimuli. Classically, SSRP, like long-term potentiation and related plasticity mechanisms, has been hypothesized to demonstrate input specificity…
Víctor Manuel Hidalgo, Carlos Andrés Bazaes, Juan‐Carlos Letelier
Virtual and mixed reality (VR, MR) technologies offer a powerful solution for on-the-ground flight training curricula. While these technologies offer safer and cheaper instructional programs, it is still unclear how they impact neuronal brain dynamics. Indeed, MR simulations engage students in a strange mix of…
Arturo Micheli, Davide Consoli, Adrien Merlini, Paolo Ricci + 1 more
'Francesco P. Andriulli'] Abstract— Brain-Computer Interfaces (BCIs) based on Steady State Visually Evoked Potentials (SSVEPs) have proven effective and provide significant accuracy and informationtransfer rates. This family of strategies, however, requires external devices that provide the frequency stimuli required…
Stephan Kalb, Carl Böck, Matthias Bolz, Christine Schlömmer + 4 more
'Lucija Kudumija' 'Martin W. Dünser' 'Jens Meier' 'Pietro Aricò'] Background/Objectives: We defined the value of a machine learning algorithm to distinguish between the EEG response to no light or any light stimulations, and between light stimulations with different brightnesses in awake volunteers with closed eyelids.…