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Arthur M. Jacobs

Researcher at Free University of Berlin

Publications -  263
Citations -  16058

Arthur M. Jacobs is an academic researcher from Free University of Berlin. The author has contributed to research in topics: Word recognition & Lexical decision task. The author has an hindex of 67, co-authored 260 publications receiving 14636 citations. Previous affiliations of Arthur M. Jacobs include Ruhr University Bochum & School for Advanced Studies in the Social Sciences.

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Orthographic Processing in Visual Word Recognition: A Multiple Read-Out Model

TL;DR: A model of orthographic processing is described that postulates read-out from different information dimensions, determined by variable response criteria set on these dimensions, that unifies results obtained in response-limited and data-limited paradigms and helps resolve a number of inconsistencies in the experimental literature.
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Coregistration of eye movements and EEG in natural reading: analyses and review.

TL;DR: Results suggest that EEG recordings during normal vision are feasible and useful to consolidate findings from EEG and eye-tracking studies, and 4 technical and data-analytical problems that need to be addressed when FRPs are recorded in free-viewing situations are reviewed.
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The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy

TL;DR: It is found that skin blood volume strongly depends on the cognitive state and that sources of task-evoked systemic signals in fNIRS are co-localized with veins draining the scalp, and it is concluded that the physiological origin of the systemic artefact is a task- Evoked sympathetic arterial vasoconstriction followed by a decrease in venous volume.
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The Berlin Affective Word List Reloaded (BAWL-R).

TL;DR: The BAWL-R is intended to help researchers create stimulus material for a wide range of experiments dealing with the affective processing of German verbal material, and is the first list that not only contains a large set of psycholinguistic indexes known to influence word processing, but also features ratings regarding emotional arousal.
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The Word Frequency Effect A Review of Recent Developments and Implications for the Choice of Frequency Estimates in German

TL;DR: It is found that the commonly used Celex frequencies are the least powerful to predict lexical decision times in the German language.