scholarly journals A Basic Study on P300 Event-Related Potentials Evoked by Simultaneous Presentation of Visual and Auditory Stimuli for the Communication Interface

i-Perception ◽  
10.1068/ic785 ◽  
2011 ◽  
Vol 2 (8) ◽  
pp. 785-785
Author(s):  
Masami Hashimoto ◽  
Makoto Chishima ◽  
Kazunori Itoh ◽  
Mizue Kayama ◽  
Makoto Otani ◽  
...  
2002 ◽  
Vol 39 (1) ◽  
pp. 49-63 ◽  
Author(s):  
Linda J. Metzger ◽  
Margaret A. Carson ◽  
Lynn A. Paulus ◽  
Natasha B. Lasko ◽  
Stephen R. Paige ◽  
...  

1990 ◽  
Vol 13 (2) ◽  
pp. 201-233 ◽  
Author(s):  
Risto Näätänen

AbstractThis article examines the role of attention and automaticity in auditory processing as revealed by event-related potential (ERP) research. An ERP component called the mismatch negativity, generated by the brain's automatic response to changes in repetitive auditory input, reveals that physical features of auditory stimuli are fully processed whether or not they are attended. It also suggests that there exist precise neuronal representations of the physical features of recent auditory stimuli, perhaps the traces underlying acoustic sensory (“echoic”) memory. A mechanism of passive attention switching in response to changes in repetitive input is also implicated.Conscious perception of discrete acoustic stimuli might be mediated by some of the mechanisms underlying another ERP component (NI), one sensitive to stimulus onset and offset. Frequent passive attentional shifts might accountforthe effect cognitive psychologists describe as “the breakthrough of the unattended” (Broadbent 1982), that is, that even unattended stimuli may be semantically processed, without assuming automatic semantic processing or late selection in selective attention.The processing negativity supports the early-selection theory and may arise from a mechanism for selectively attending to stimuli defined by certain features. This stimulus selection occurs in the form ofa matching process in which each input is compared with the “attentional trace,” a voluntarily maintained representation of the task-relevant features of the stimulus to be attended. The attentional mechanism described might underlie the stimulus-set mode of attention proposed by Broadbent. Finally, a model of automatic and attentional processing in audition is proposed that is based mainly on the aforementioned ERP components and some other physiological measures.


2021 ◽  
Vol 15 ◽  
Author(s):  
Minju Kim ◽  
Jongsu Kim ◽  
Dojin Heo ◽  
Yunjoo Choi ◽  
Taejun Lee ◽  
...  

Using P300-based brain–computer interfaces (BCIs) in daily life should take into account the user’s emotional state because various emotional conditions are likely to influence event-related potentials (ERPs) and consequently the performance of P300-based BCIs. This study aimed at investigating whether external emotional stimuli affect the performance of a P300-based BCI, particularly built for controlling home appliances. We presented a set of emotional auditory stimuli to subjects, which had been selected for each subject based on individual valence scores evaluated a priori, while they were controlling an electric light device using a P300-based BCI. There were four conditions regarding the auditory stimuli, including high valence, low valence, noise, and no sound. As a result, subjects controlled the electric light device using the BCI in real time with a mean accuracy of 88.14%. The overall accuracy and P300 features over most EEG channels did not show a significant difference between the four auditory conditions (p > 0.05). When we measured emotional states using frontal alpha asymmetry (FAA) and compared FAA across the auditory conditions, we also found no significant difference (p > 0.05). Our results suggest that there is no clear evidence to support a hypothesis that external emotional stimuli influence the P300-based BCI performance or the P300 features while people are controlling devices using the BCI in real time. This study may provide useful information for those who are concerned with the implementation of a P300-based BCI in practice.


2009 ◽  
Vol 31 (8) ◽  
pp. 577-581 ◽  
Author(s):  
Tatsuo Fuchigami ◽  
Osami Okubo ◽  
Yukihiko Fujita ◽  
Ryutaro Kohira ◽  
Chikako Arakawa ◽  
...  

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