Here we present an application of EEG processing pipeline customizing EEGLAB and FieldTrip functions, specifically optimized to flexibly analyze data based on single trial information. The key component our approach is create a comprehensive 3-D structure including all trials participants maintaining the original order recording. This allows straightforward access subsets any information available in behavioral matched with (experimental conditions, but also performance indicators, such...

Can our native language influence what we consciously perceive? Although evidence that modulates visual discrimination has been accumulating, little is known about the relation between structure and consciousness. We employed electroencephalography attentional-blink paradigm, in which targets are often unnoticed. Native Greek speakers ( N = 28), who distinguish categorically light dark shades of blue, showed boosted perception for this contrast compared with a verbally unmarked green...

The interplay of mind attribution and emotional responses is considered crucial in shaping human trust acceptance social robots. Understanding this can help us create the right conditions for successful human-robot interaction alignment with societal goals. Our study shows that affective information about robots describing positive, negative or neutral behavior leads participants (N=90) to attribute mental states robot faces, modulating impressions trustworthiness, facial expression...

Abstract The interplay of mind attribution and emotional responses is considered crucial in shaping human trust acceptance social robots. Understanding this can help us create the right conditions for successful human-robot interaction alignment with societal goals. Our study shows that affective information about robots describing positive, negative or neutral behavior leads participants (N=90) to attribute mental states robot faces, modulating impressions trustworthiness, facial expression...

Visual threat-related signals are not only processed via a cortical geniculo-striatal pathway to the amygdala but also subcortical colliculo-pulvinar-amygdala pathway, which presumably mediates implicit processing of fearful stimuli. Indeed, hemianopic patients with unilateral damage have been shown respond faster seen happy faces in their intact visual field when unseen were concurrently presented blind [Bertini, C., Cecere, R., & Làdavas, E. I am blind, "see" fear. Cortex, 49, 985-993,...

Purpose: Lateralised lesions can disrupt inhibitory cross-callosal fibres which maintain interhemispheric equilibrium in attention networks, with a consequent attentional bias towards the ipsilesional field. Some evidence of this imbalance has also been found hemianopic patients (Tant et al., 2 002). The aim present study was to reduce by using multisensory stimulation capable activating subcortical structures responsible for orienting attention, such as superior colliculus. Methods: Eight...

High-quality AI-generated portraits ("deepfakes") are becoming increasingly prevalent. Understanding the responses they evoke in perceivers is crucial assessing their societal implications. Here we investigate impact of belief that depicted persons real or deepfakes on psychological and neural measures human face perception. Using EEG, tracked participants' (N = 30) brain to faces showing positive, neutral, negative expressions, after being informed either fake. Smiling marked as fake...

Abstract Linguistic categories can impact visual perception. For instance, learning that two objects have different names enhance their discriminability. Previous studies identified a typical pattern of categorical perception, characterized by faster discrimination stimuli from categories, neural mismatch response during early processing (100–200 ms), and effects restricted to the right field. However, it remains unclear whether language affects perception online or through long‐term changes...

Abstract When we imagine an object and when actually see that object, similar brain regions become active. Yet, the time course mechanisms with which imagery engages perceptual networks remain to be better understood. An emerging view holds perception follow distinct dynamics during early visual processing similarities arising only later, high-level processing. However, confounds of stimulation paradigms favoring observation processes associated subjective strength may have precluded...

Human communication is multi-modal; e.g., face-to-face interaction involves auditory signals (speech) and visual (face movements hand gestures). Hence, it essential to exploit multiple modalities when designing machine learning-based facial expression recognition systems. In addition, given the ever-growing quantities of video data that capture human expressions, such systems should utilize raw unlabeled videos without requiring expensive annotations. Therefore, in this work, we employ a...

Robots are generally not considered full moral agents and therefore appropriate loci of responsibility; however, research suggests that people may attribute mental capacities associated with agency as well responsibility to robots. We investigate the extent which descriptions social robots minded or mechanical machines differentially impact judgments robots’ morally emotionally relevant actions. In two experiments we cognitive emotional aspects judgments: mind attribution evaluations...

Facial expression perception in humans inherently relies on prior knowledge and contextual cues, contributing to efficient flexible processing. For instance, multi-modal emotional context (such as voice color, affective text, body pose, etc.) can prompt people perceive expressions objectively neutral faces. Drawing inspiration from this, we introduce a novel approach for facial classification that goes beyond simple tasks. Our model accurately classifies perceived face synthesizes the...

The interplay of mind attribution and emotional responses is considered crucial in shaping human trust acceptance social robots. Understanding this can help us create the right conditions for successful human-robot interaction alignment with societal goals. Our study shows that affective information about robots describing positive, negative or neutral behavior leads participants (N=90) to attribute mental states robot faces, modulating impressions trustworthiness, facial expression...

The interplay of mind attribution and emotional responses is considered crucial in shaping human trust acceptance social robots. Understanding this can help us create the right conditions for successful human-robot interaction service societal needs. In study we show that information about robots describing positive, negative or neutral behavior prompts participants (N=90) to attribute mental states robot faces, modulating impressions trustworthiness, facial expression intentionality. These...

By utilizing Stille cross-coupling reactions four benzoic acid derivatives (18, 32, 46, 66) were prepared that carry a side chain with two secondary hydroxy groups. It could be shown the functions can distinguished by size-selective macrolactonization reactions. Thus, 12-membered lactones 19 and 33 are favored over their 11- membered lactone counterparts 20 34, respectively, albeit low (60:40-70:30) ratio. The selectivity is much more pronounced if there competition between 12- 10-membered...

Diels−Alder reactions of two allenes, diphenyl(1,2-propadienyl)phosphane oxide (4) and 1,2-propadienyltrichloromethyl sulfone (7), with cyclic dienes were studied. While 4 only reacted cyclopentadiene, to provide the endo adduct 5, allene 7 proved be much more reactive. Thus, cycloaddition between N-Boc-pyrrole gave a mixture exo adducts 9. The observed reactivities could rationalized by semiempirical MO calculations.