Interactive activation and competition models and semantic context: from behavioral to brain data

MJ Hofmann, AM Jacobs - Neuroscience & Biobehavioral Reviews, 2014 - Elsevier
Interactive activation and competition models (IAMs) cannot only account for behavioral data
from implicit memory tasks, but also for brain data. We start by a discussion of standards for …

Sentiment analysis for words and fiction characters from the perspective of computational (neuro-) poetics

AM Jacobs - Frontiers in Robotics and AI, 2019 - frontiersin.org
Two computational studies provide different sentiment analyses for text segments
(eg,“fearful” passages) and figures (eg,“Voldemort”) from the Harry Potter books …

Affective iconic words benefit from additional sound–meaning integration in the left amygdala

A Aryani, CT Hsu, AM Jacobs - Human brain mapping, 2019 - Wiley Online Library
Recent studies have shown that a similarity between sound and meaning of a word (ie,
iconicity) can help more readily access the meaning of that word, but the neural mechanisms …

Affective congruence between sound and meaning of words facilitates semantic decision

A Aryani, AM Jacobs - Behavioral sciences, 2018 - mdpi.com
A similarity between the form and meaning of a word (ie, iconicity) may help language users
to more readily access its meaning through direct form-meaning mapping. Previous work …

Differential activation of frontal and parietal regions during visual word recognition: an optical topography study

MJ Hofmann, MJ Herrmann, I Dan, H Obrig, M Conrad… - Neuroimage, 2008 - Elsevier
The present study examined cortical oxygenation changes during lexical decision on words
and pseudowords using functional Near-Infrared Spectroscopy (fNIRS). Focal …

The pseudohomophone effect: evidence for an orthography–phonology-conflict

BB Briesemeister, MJ Hofmann, S Tamm, L Kuchinke… - Neuroscience …, 2009 - Elsevier
The standard pseudohomophone effect in the lexical decision task, ie longer response times
and higher error rates for pseudohomophones compared with spelling controls, is commonly …

Remembering words in context as predicted by an associative read-out model

MJ Hofmann, L Kuchinke, C Biemann, S Tamm… - Frontiers in …, 2011 - frontiersin.org
Interactive activation models (IAMs) simulate orthographic and phonological processes in
implicit memory tasks, but they neither account for associative relations between words nor …

No one way ticket from orthography to semantics in recognition memory: N400 and P200 effects of associations

N Stuellein, RR Radach, AM Jacobs, MJ Hofmann - Brain research, 2016 - Elsevier
Computational models of word recognition already successfully used associative spreading
from orthographic to semantic levels to account for false memories. But can they also …

The effect of the internal orthographic connectivity of written Arabic words on the process of the visual recognition: A comparison between skilled and dyslexic readers

A Khateb, HY Taha, I Elias, R Ibrahim - Writing Systems Research, 2013 - Taylor & Francis
Previous research has suggested that reading Arabic is more challenging than reading
Hebrew or English, even among native Arabic readers due to the visual complexity of the …

Benchmarking n-grams, topic models and recurrent neural networks by cloze completions, EEGs and eye movements

MJ Hofmann, C Biemann, S Remus - Cognitive approach to natural …, 2017 - Elsevier
In neurocognitive psychology, manually collected cloze completion probabilities (CCPs) are
the standard approach to quantifying a word's predictability from sentence context. Here, we …