States of indecision in the brain: ERP reflections of syntactic agreement violations versus visual degradation

Meerendonk, Nan van de; Chwilla, Dorothee J.; Kolk, Herman

doi:10.1016/j.neuropsychologia.2013.03.025

Cited by 15 publications

(8 citation statements)

References 55 publications

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“…This aspect should be captured in the trial-by-trial variability and separately between subjects by looking over the latency and duration of the potentials. If this is the case, ERPs should elicit late positivity with high amplitude [81] and ongoing negative ERP over the prefrontal cortex suggesting indecisiveness [82]. Since natural images represent recognizable structures and objects, as compared to unidentified forms for the synthetic fractal images, it might infer different reasoning mechanisms.…”

Section: Discussion Conclusion and Future Workmentioning

confidence: 99%

Preparatory Experiments Regarding Human Brain Perception and Reasoning of Image Complexity for Synthetic Color Fractal and Natural Texture Images via EEG

Nicolae

Ivanovici

2020

Applied Sciences

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Texture plays an important role in computer vision in expressing the characteristics of a surface. Texture complexity evaluation is important for relying not only on the mathematical properties of the digital image, but also on human perception. Human subjective perception verbally expressed is relative in time, since it can be influenced by a variety of internal or external factors, such as: Mood, tiredness, stress, noise surroundings, and so on, while closely capturing the thought processes would be more straightforward to human reasoning and perception. With the long-term goal of designing more reliable measures of perception which relate to the internal human neural processes taking place when an image is perceived, we firstly performed an electroencephalography experiment with eight healthy participants during color textural perception of natural and fractal images followed by reasoning on their complexity degree, against single color reference images. Aiming at more practical applications for easy use, we tested this entire setting with a WiFi 6 channels electroencephalography (EEG) system. The EEG responses are investigated in the temporal, spectral and spatial domains in order to assess human texture complexity perception, in comparison with both textural types. As an objective reference, the properties of the color textural images are expressed by two common image complexity metrics: Color entropy and color fractal dimension. We observed in the temporal domain, higher Event Related Potentials (ERPs) for fractal image perception, followed by the natural and one color images perception. We report good discriminations between perceptions in the parietal area over time and differences in the temporal area regarding the frequency domain, having good classification performance.

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Section: Discussion Conclusion and Future Workmentioning

confidence: 99%

Preparatory Experiments Regarding Human Brain Perception and Reasoning of Image Complexity for Synthetic Color Fractal and Natural Texture Images via EEG

Nicolae

Ivanovici

2020

Applied Sciences

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“…The LPC was interpreted as a result of a differentiation between licit and illicit neologisms and followed an earlier negativity (N400), which was ascribed to the detection of a nonexistent structure. A late positivity was previously found and associated with the re-analysis of syntactic complexity and ambiguity or the violation of (morpho-) syntactic structures (Friederici, 1995(Friederici, , 2002Frisch & Schlesewsky, 2005;Hagoort, 2003;Meerendonk, Chwilla, & Kolk, 2013). The N400 component, however, has been ascribed to the differentiation between existent and non-existent words in numerous studies (Bentin et al, 1999;Holcomb, 1988Holcomb, , 1993Holcomb & Neville, 1990;Kutas & Hillyard, 1980).…”

Section: Learnabilitymentioning

confidence: 93%

The role of phonotactic principles in language processing

Ulbrich

Alday

Knaus

et al. 2016

Language, Cognition and Neuroscience

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The paper reports the results of a learnability experiment with German speakers, investigating the role of universal phonotactic constraints and language use in language processing. Making use of an artificial language paradigm, participants learned nonce words with existent and non-existent German final consonant clusters adhering to or violating sonority sequencing principles postulated for consonant clusters. Behavioural data and event-related brain potentials in response to these cluster properties were obtained twice, before and after learning word-picture-pairs. The results show (1) that learning and processing of final consonant clusters is facilitated by adherence to the sonority hierarchy, and (2) that actual existence of well- and ill-formed consonant clusters aids processing mechanisms. Thus, both implicit knowledge of universal phonotactic principles and frequency-based factors are demonstrated to play a role in the online-processing of words

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“…In view of this, the absence of a LAN effect and the presence of an N400 in our study is not surprising, given that agreement computation in Arabic is not always predictable based on the features of the agreement controller alone, but is dependent upon specific syntactic properties of the construction involved, such as word-order and whether or not the subject is overt, as well as properties at the syntax-semantic interface such as humanness (see below for a detailed discussion). The P600 effects in our study can be plausibly interpreted as reflecting repair or reanalysis processes associated with agreement violations (Friederici, 2002, 2011; Bornkessel & Schlesewsky, 2006), thought to be triggered by domain-general conflict monitoring processes (Van de Meerendonk, Chwilla, & Kolk, 2013).…”

Section: Resultsmentioning

confidence: 72%

Salience-weighted agreement feature hierarchy modulates language comprehension

Muralikrishnan

Idrissi

2019

Preprint

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1The brain establishes relations between elements of an unfolding sentence in 2 order to incrementally build a representation of who is doing what based on 3 various linguistic cues. Many languages systematically mark the verb and/or 4 its arguments to imply the manner in which they are related. A common 5 mechanism to this end is subject-verb agreement, whereby the marking on 6 the verb covaries with one or more of the features such as person, number 7 and gender of the more agent-like argument in a sentence. The cross-linguistic 8 variability of these features would suggest that they may modulate language 9 comprehension differentially based on their relative weightings in a given 10 language. To test this, we investigated the processing of verb agreement in 11 simple intransitive Arabic sentences in a visual event-related brain potential 12 (ERP) study. Specifically, we examined the differences, if any, that ensue in the 13 processing of person, number and gender features during online comprehension, 14 employing sentences in which the verb either showed full agreement with 15 the subject noun (singular or plural) or did not agree in one of the features. 16ERP responses were measured at the post-nominal verb. Results showed a 17 biphasic negativity−late-positivity effect when the verb did not agree with its 18 subject noun in either of the features, in line with similar findings from other 19 languages. Crucially however, the biphasic effect for agreement violations 20 was systematically graded based on the feature that was violated, which is 21 a novel finding in view of results from other languages. Furthermore, this 22 graded effect was qualitatively different for singular and plural subjects based 23 on the differing salience of the features for each subject-type. These results 24 suggest that agreement features, varying in their cognitive salience due to their 25 language-specific weightings, differentially modulate language comprehension. 26

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States of indecision in the brain: ERP reflections of syntactic agreement violations versus visual degradation

Cited by 15 publications

References 55 publications

Preparatory Experiments Regarding Human Brain Perception and Reasoning of Image Complexity for Synthetic Color Fractal and Natural Texture Images via EEG

Preparatory Experiments Regarding Human Brain Perception and Reasoning of Image Complexity for Synthetic Color Fractal and Natural Texture Images via EEG

The role of phonotactic principles in language processing

Salience-weighted agreement feature hierarchy modulates language comprehension

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