direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Search in All Publications

Search for publications




All Publications by GRK Members

Using ERPs for Assessing the (Sub)Conscious Perception of Noise
Citation key Porbadnigk2010
Author Porbadnigk, A.K., Antons, J.-N., Blankertz, B., Treder, M.S., Schleicher, R., Moeller, S., and Curio, G.
Pages 2690-3
Year 2010
DOI 10.3389/conf.fncom.2010.51.00137
Journal Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience.
Month September
Abstract In the field of telecommunications, the quality of audio signals is typically assessed based on subjective behavioral data. However, some differences in quality might be too subtle to be detected consciously, while still possibly affecting the long term contentment of users. Neuro-physiological measures have the potential to complement behavioral approaches as objective and accurate measures for auditory quality assessment. Here, we present results of an EEG study (N=11), in which we investigate the use of event-related potentials (ERPs) as such a quantitative measure. Subjects were presented with the phoneme /a/ that was either undisturbed (70% non-targets) or superimposed with four different degrees of signal-correlated noise. The ERP analysis revealed the ’neuronal effort’ involved in detecting noise: the harder it is to detect noise in a stimulus, the higher the latency and the lower the amplitude of the P300 component. This is in line with related work, as the P300 latency is thought to index classification speed [1]. It is important to note that all of these trials are hits and thus indistinguishable on a behavioral level. Remarkably, for two subjects, misses of marginally noisy targets result in an ERP pattern that shows a striking resemblance with hits (detected targets) of the same deviant class (see Fig.1). In order to assess the similarity, we employed a shrinkage LDA classifier [2] that was trained to distinguish between ERP patterns of hits and non-targets for a given subject. Notably, we found that the classifier was well able to also discriminate between misses and non-targets for these two subjects (see Fig.1) – even though the behavioral data suggests that the stimuli were perceived in the same way. We conjecture that the noise is missed on a conscious level during these trials, but still processed subconsciously. We conclude that ERPs have the potential to be used successfully as a quantitative measure for the assessment of auditory quality, providing complementary information to conventional behavioral methods.
Link to original publication Download Bibtex entry

To top

Import Publication

Upload BibTeX

Export all entries to BibTex

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions