scispace - formally typeset
M

Martin Eimer

Researcher at Birkbeck, University of London

Publications -  303
Citations -  21235

Martin Eimer is an academic researcher from Birkbeck, University of London. The author has contributed to research in topics: N2pc & Visual search. The author has an hindex of 76, co-authored 280 publications receiving 19915 citations. Previous affiliations of Martin Eimer include Ludwig Maximilian University of Munich & Bielefeld University.

Papers
More filters
Journal ArticleDOI

The N2pc component as an indicator of attentional selectivity.

TL;DR: It is argued that the N2pc component that is assumed to indicate attentional filtering processes during visual search tasks may reflect the attentional selection of task-relevant stimuli and that this component is also elicited when targets are presented together with just one non-target item.
Journal ArticleDOI

An ERP study on the time course of emotional face processing.

TL;DR: It is concluded that emotional expression analysis and the structural encoding of faces are parallel processes and early emotional ERP modulations may reflect the rapid activation of prefrontal areas involved in the analysis of facial expression.
Journal ArticleDOI

Event-related brain potential correlates of emotional face processing.

TL;DR: Emotional faces were found to trigger an increased ERP positivity relative to neutral faces, and similar emotional expression effects were found for six basic emotions, suggesting that these effects are not primarily generated within neural structures specialised for the automatic detection of specific emotions.
Journal ArticleDOI

Event-related brain potentials distinguish processing stages involved in face perception and recognition

TL;DR: While the N170 reflects the pre-categorical structural encoding of faces, the 'N400f' and 'P600f' are likely to indicate subsequent processes involved in face recognition, and can result in the disruption of face identification.
Journal ArticleDOI

The face-specific N170 component reflects late stages in the structural encoding of faces.

TL;DR: It is suggested that the N170 is linked to late stages of structural encoding, where representations of global face configurations are generated in order to be utilised by subsequent face recognition processes.