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The P300 (P3) wave is an event-related potential ... (EEG), it surfaces as a positive deflection in voltage with a latency (delay between stimulus and response) ...
In addition, there are studies on abnormalities of P300 in depression. Depressed patients tend to have a reduced P200 and P300 amplitude and a prolonged P300 latency. [20] Due to the consistency of the P300 response to novel stimuli, a brain–computer interface can be constructed which relies on it. By arranging many signals in a grid ...
The P300 response as a function of local stimulus probability. From Surprise response as a probe for compressed memory states. [1] The P300 response magnitude for both oddball and standard trials is larger the higher is the local probability of the opposite stimulus in the preceding sequence.
The P300 response of different healthy subjects in a two-tone auditory oddball paradigm. The plots show the average response to oddball (red) and standard (blue) trials and their difference (black). From Surprise response as a probe for compressed memory states. [3]
This led Squires et al. to suggest that there were two distinct psycho-physiological entities that had been referred to collectively as the P300. [3] More specifically, Squires et al. recorded EEG during an auditory odd-ball paradigm with various conditions. The two types of stimuli were 90 dB and 70 db tone bursts that occurred 1.1 sec apart ...
P300 may mean: P300 (neuroscience), a neural evoked potential component of the electroencephalogram (EEG) p300 (or EP300), a transcriptional coactivator; Nikon P300, a mid-class compact digital camera, produced by Nikon in 2011
In particular, EEG studies of OR have corresponded particularly with the P300 wave and P3a component of the OR-related event-related potential (ERP). [ 3 ] Neural correlates
For an adequate understanding of quantitative changes in neurophysiological signals, such as electroencephalography (EEG) or magnetoencephalography (MEG), as a consequence of disease, experimental manipulations, or genetic variability there is a need to apply multiple biomarker algorithms.
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