Results 11 to 20 of about 2,898,090 (272)

P300 Component Modulation During a Go/Nogo Task in Healthy Children

Basic and Clinical Neuroscience, 2010
Introduction: Several differences in the P300 component are observed when responses must be executed or inhibited in the Go/Nogo task. However, few studies were established by using well-controlled task with respect to the preparatory processing and ...
Mohammad Ali Nazari, Fabrice Wallois, Ardalan Aarabi, Masoud Nosratabadi, Patrick Berquin   +4 more
doaj   +3 more sources

P300 ERP Component Depends on Both Spatial Frequency and Contrast

i-Perception, 2011
Contrast perception depends on not only the early visual responses, but also top-down modulations. We measured how does P300, a well-documented event-related potential (ERP) index for top-down influence, change with both spatial frequency and contrast ...
Li-Ting Tsai, Chien-Chung Chen, Yuh Jang, Chien-Te Wu, Yu-Chin Su   +4 more
doaj   +2 more sources

Contrast Effect on the P300 Component: Passive Versus Active Tasks

i-Perception, 2011
Objective: Contrast perception could be influenced by top-down factors. We measured P300 component, a well-documented index for top-down influence in visual functions, to examine such effect. Methods: Twelve participants, 18- to 50-years old, with normal
Yuchin Su, Chien-Chung Chen, Hung-Hsiang Liu, Li-Ting Tsai   +3 more
doaj   +2 more sources

Neurochemical substrates and neuroanatomical generators of the event-related P300 [PDF]

, 1999
The present review focuses on the current knowledge of the neurochemical processes and neuronal structures involved in the generation of P300. The increasing knowledge in this area facilitates the physiological interpretation of P300 findings as well as ...
Bottlender, Ronald, Hegerl, Ulrich, Frodl-Bauch, Thomas   +2 more
core   +1 more source

Asynchronous, parallel on-line classification of P300 and ERD for an efficient hybrid BCI [PDF]

, 2011
Riechmann H, Hachmeister N, Ritter H, Finke A. Asynchronous, parallel on-line classification of P300 and ERD for an efficient hybrid BCI. In: Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on.
Hachmeister, Nils ; https://orcid.org/, Riechmann, Hannes, Ritter, Helge ; https://orcid.org/, Finke, Andrea ; https://orcid.org/   +3 more
core   +1 more source

Abnormal P300 in people with high risk of developing psychosis [PDF]

, 2008
Background Individuals with an “at-risk mental state” (or “prodromal” symptoms) have a 20–40% chance of developing psychosis; however it is difficult to predict which of them will become ill on the basis of their clinical symptoms alone.
Day, Fern, Bramon, E, Howes, O, Bramon, Elvira, Murray, RM, Murray, Robin, MD, M Phil, MRCP, MRC Psych, Valmaggia, Lucia, Shaikh, Madiha, Broome, Matthew, Madre, M, Pérez, Victor, Valmaggia, Lucia; id_orcid, Murray, Robin M., Pérez, V, Day, F, Johns, L, Murray, Robin M, Madre, Mercè, McGuire, Philip, McGuire, P, Broome, Matthew; id_orcid, Woolley, J. B. (James B.), Bergé, Daniel, Bergé, D, Lappin, Julia, Sham, Pak, Broome, M, Lappin, J, Woolley, James, Tabraham, Paul, Broome, Matthew R., Valmaggia, L, Shaikh, M, Tabraham, P, Johns, Louise C., Woolley, J, Sham, P, Howes, Oliver, Johns, Louise   +38 more
core   +1 more source

The cost of space independence in P300-BCI spellers. [PDF]

, 2013
Background: Though non-invasive EEG-based Brain Computer Interfaces (BCI) have been researched extensively over the last two decades, most designs require control of spatial attention and/or gaze on the part of the user. Methods: In healthy adults, we
Howard Bowman, Owen, Adrian, Abdulmajeed Alsufyani, Owen, Adrian M, Filetti, Marco, Bowman, Howard; id_orcid, Adrian M Owen, Chennu, Srivas, Alsufyani, Abdulmajeed, Marco Filetti, Bowman, Howard, Srivas Chennu   +11 more
core   +1 more source

Classification of P300 Component Using a Riemannian Ensemble Approach [PDF]

, 2019
We present a framework for P300 ERP classification on the 2019 IFMBE competition dataset using a combination of a Riemannian geometry and ensemble learning. Covariance matrices and ERP prototypes are extracted after the EEG is passed through a filter bank and an ensemble of LDA classifiers is trained on subsets of channels, trials, and frequencies. The
Krzeminski, Dominik, Michelmann, Sebastian, Treder, Matthias, Santamaria, Lorena   +3 more
openaire   +1 more source

A separable convolutional neural network-based fast recognition method for AR-P300

Frontiers in Human Neuroscience, 2022
Augmented reality-based brain–computer interface (AR–BCI) has a low signal-to-noise ratio (SNR) and high real-time requirements. Classical machine learning algorithms that improve the recognition accuracy through multiple averaging significantly affect ...
Chunzhao He, Yulin Du, Xincan Zhao
doaj   +1 more source

When "It" becomes "Mine": attentional biases triggered by object ownership. [PDF]

, 2011
Previous research has demonstrated that higher-order cog- nitive processes associated with the allocation of selective atten- tion are engaged when highly familiar self-relevant items are encountered, such as oneðs name, face, personal possessions and ...
Brebner, Joanne, Kim van Bussel, Toma, Andreea, Olav Krigolson, van Bussel, Kim, Joanne L. Brebner, David J. Turk, Krigolson, Olave, Andreea S. Toma, Handy, Todd, Turk, David J, Todd C. Handy   +11 more
core   +1 more source