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This book comprises research articles contributed to the Special Issue on “ERP and EEG Markers of Brain Visual Attentional Processing” of the Brain Sciences journal by a panel of authoritative international cognitive neuroscientists and electrophysiologists. All articles present state-of-the-art knowledge on the relationships between visuospatial attentional processing and the brain in humans as investigated by means of EEG and ERPs from the perspective of cognitive neuroscience. All the articles compare overt behavioral data obtained in universally renowned visual selective attention protocols with the electrophysiological data obtained in these same protocols aimed at investigating different facets of visuospatial attentional processing. The research presented is interdisciplinary, ranging across visual selective processing mechanisms in health, the effects of psychological attentional dysfunctions and brain damage, and functional imaging of the human brain. The Preface of the book provides an overall theoretical introduction to the field and to the contents of each of the remaining articles. In this introductory Editorial, a framework is presented in which to consider EEG and ERPs as research tools able to contribute to both cognitive and brain sciences, putting together new knowledge about humans as integrated sociobiological individuals. This book may provide a useful starting point and reference for researchers and students of cognitive neuroscience, psychology, philosophy, or cognitive science who have an interest in mind and brain visual attentional processing.

selective attention --- mental ability --- P3 latency --- continuous performance test --- mental speed --- EEG --- alpha --- xi --- Posner --- covert attention --- object-based attention --- hemispheric asymmetry --- ERP --- selection negativity --- swLORETA --- anterior cingulate cortex --- visual recognition --- mTBI --- event-related potentials --- visual–attentional processing --- brain connectivity --- neuropsychological measures --- postconcussion symptoms --- rsvp --- lure stimuli --- priming --- ERPs --- N2pc --- perception --- video --- visual motion --- speed --- cortex --- rhythm --- entrainment --- working-memory training --- cognitive remediation --- P1 --- P3b --- N500 --- late posterior negative slow wave --- late parietal negativity --- ADHD --- performance monitoring --- error processing --- visual sustained selective attention --- voluntary control --- self-regulation --- executive functions --- preschool children --- ACT–R --- Dipole analysis --- spiking simulation --- FFT --- alpha desynchronization --- attention orienting --- alerting --- attention inhibition --- neurocognitive perceptual and motor workload --- hypoxia --- overt motor responses --- hemispheric lateralization --- category learning --- eeg --- machine learning --- erp --- memory --- learning --- multiple memory systems --- p300 --- brain visual attentional processing --- neural markers --- intracerebral single and distributed electric source localization analyses --- hemodynamic imaging --- psychological sciences --- cognitive neurosciences

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Cognitive science is an interdisciplinary field in the study of the mind and intelligence. The term cognition refers to a variety of mental processes, including perception, problem solving, learning, decision making, language use, and emotional experience. The basis of the cognitive sciences is the contribution of philosophy and computing to the study of cognition. Computing is very important in the study of cognition because computer-aided research helps to develop mental processes, and computers are used to test scientific hypotheses about mental organization and functioning. This book provides a platform for reviewing these disciplines and presenting cognitive research as a separate discipline.

Information technology industries --- computer adaptive testing --- code tracing --- basic programming skills --- internet of thing (IoT) --- eye tracking --- heart rate (HR) --- measurements --- data analysis --- Internet addiction --- dysfunctional emotions --- coping strategies --- emotional problems --- human-AI interaction --- interaction design --- Kansei engineering --- user satisfaction --- voice-based intelligent system --- dynamic gesture recognition --- gesture spotting --- self-organizing map --- computational psychology --- computational cognitive modeling --- machine learning --- concept blending --- conceptual combinations --- recall --- computational creativity --- cognition --- instance selection --- clustering --- information processing --- cognitive aspects --- remote --- virtual simulation --- incident commander --- user experiences --- problem solving --- decision making --- assessment --- learning --- privacy-preserving computations --- homomorphic encryption --- EEG signals --- school children --- functional vision --- vision screening --- vision training --- eye-tracking --- stakeholders --- human-robot interaction --- social gaze --- eye-to-eye contact --- emotional interfaces --- eye-brain-computer interfaces --- attention --- reflection --- usability --- brain hemispheric lateralization --- online educational material --- instructional design --- methodology --- model --- virtual reality --- virtual environment --- stress --- spaceflight --- training --- EEG --- emotion --- neural networks --- M3GP --- BED --- Emotiv --- multiclass --- deep learning --- traffic accident --- spatially prolonged risk --- Gestalt --- proximity --- open data --- computer adaptive testing --- code tracing --- basic programming skills --- internet of thing (IoT) --- eye tracking --- heart rate (HR) --- measurements --- data analysis --- Internet addiction --- dysfunctional emotions --- coping strategies --- emotional problems --- human-AI interaction --- interaction design --- Kansei engineering --- user satisfaction --- voice-based intelligent system --- dynamic gesture recognition --- gesture spotting --- self-organizing map --- computational psychology --- computational cognitive modeling --- machine learning --- concept blending --- conceptual combinations --- recall --- computational creativity --- cognition --- instance selection --- clustering --- information processing --- cognitive aspects --- remote --- virtual simulation --- incident commander --- user experiences --- problem solving --- decision making --- assessment --- learning --- privacy-preserving computations --- homomorphic encryption --- EEG signals --- school children --- functional vision --- vision screening --- vision training --- eye-tracking --- stakeholders --- human-robot interaction --- social gaze --- eye-to-eye contact --- emotional interfaces --- eye-brain-computer interfaces --- attention --- reflection --- usability --- brain hemispheric lateralization --- online educational material --- instructional design --- methodology --- model --- virtual reality --- virtual environment --- stress --- spaceflight --- training --- EEG --- emotion --- neural networks --- M3GP --- BED --- Emotiv --- multiclass --- deep learning --- traffic accident --- spatially prolonged risk --- Gestalt --- proximity --- open data

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Asymmetry is an inherent characteristic of brain organization in both humans and other vertebrate species, and is evident at the behavioral, neurophysiological, and structural levels. Brain asymmetry underlies the organization of several cognitive systems, such as emotion, communication, and spatial processing. Despite this ubiquity of asymmetries in the vertebrate brain, we are only beginning to understand the complex neuronal mechanisms underlying the interaction between hemispheric asymmetries and cognitive systems. Unfortunately, despite the vast number of empirical studies on brain asymmetries, theoretical models that aim to provide mechanistic explanations of hemispheric asymmetries are sparse in the field. Therefore, this Special Issue aims to highlight empirically based mechanistic models of brain asymmetry. Overall, six theoretical and four empirical articles were published in the Special Issue, covering a wide range of topics, from human handedness to auditory laterality in bats. Two key challenges for theoretical models of brain asymmetry are the integration of increasingly complex molecular data into testable models, and the creation of theoretical models that are robust and testable across different species.

Medicine --- Neurosciences --- Silbo Gomero --- whistle language --- cerebral lateralization --- brain asymmetry --- dichotic listening task --- situs inversus --- heterotaxy --- visceral asymmetry --- vertebrate asymmetry --- human laterality --- left-right differentiation --- brain torque --- ciliopathy --- parrots --- footedness --- brain mass --- body mass --- nidopallium --- optic tectum --- optic tecta --- Wulst --- lateral asymmetry --- finite element method --- electrical field potential --- dipole moment --- power --- EEG --- bilateria --- cerebral asymmetry --- handedness --- language --- molecular asymmetry --- situs --- primary auditory cortex (A1) --- Doppler-shifted constant frequency (DSCF) --- mustached bat --- sex differences --- amplitude --- spectral --- temporal --- hemispheric specialization --- social communication --- frequency modulation (FM) --- neurodevelopment --- GWAS --- heritability --- quantitative trait --- polygenic scores --- avian brain --- brain asymmetries --- hemispheric lateralization --- ontogeny --- epigenetic --- neuronal plasticity --- visual system --- cerebral polymorphisms --- cerebral dominance --- DC model --- genetics --- polygenic model --- bilateral language --- functional modules --- language evolution --- lateralization --- MRI --- baboon --- development --- language areas --- neuroscience --- brain --- asymmetry --- laterality --- functional hemispheric asymmetries --- structural hemispheric asymmetries --- theoretical models --- Silbo Gomero --- whistle language --- cerebral lateralization --- brain asymmetry --- dichotic listening task --- situs inversus --- heterotaxy --- visceral asymmetry --- vertebrate asymmetry --- human laterality --- left-right differentiation --- brain torque --- ciliopathy --- parrots --- footedness --- brain mass --- body mass --- nidopallium --- optic tectum --- optic tecta --- Wulst --- lateral asymmetry --- finite element method --- electrical field potential --- dipole moment --- power --- EEG --- bilateria --- cerebral asymmetry --- handedness --- language --- molecular asymmetry --- situs --- primary auditory cortex (A1) --- Doppler-shifted constant frequency (DSCF) --- mustached bat --- sex differences --- amplitude --- spectral --- temporal --- hemispheric specialization --- social communication --- frequency modulation (FM) --- neurodevelopment --- GWAS --- heritability --- quantitative trait --- polygenic scores --- avian brain --- brain asymmetries --- hemispheric lateralization --- ontogeny --- epigenetic --- neuronal plasticity --- visual system --- cerebral polymorphisms --- cerebral dominance --- DC model --- genetics --- polygenic model --- bilateral language --- functional modules --- language evolution --- lateralization --- MRI --- baboon --- development --- language areas --- neuroscience --- brain --- asymmetry --- laterality --- functional hemispheric asymmetries --- structural hemispheric asymmetries --- theoretical models

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Cognitive science is an interdisciplinary field in the study of the mind and intelligence. The term cognition refers to a variety of mental processes, including perception, problem solving, learning, decision making, language use, and emotional experience. The basis of the cognitive sciences is the contribution of philosophy and computing to the study of cognition. Computing is very important in the study of cognition because computer-aided research helps to develop mental processes, and computers are used to test scientific hypotheses about mental organization and functioning. This book provides a platform for reviewing these disciplines and presenting cognitive research as a separate discipline.

computer adaptive testing --- code tracing --- basic programming skills --- internet of thing (IoT) --- eye tracking --- heart rate (HR) --- measurements --- data analysis --- Internet addiction --- dysfunctional emotions --- coping strategies --- emotional problems --- human–AI interaction --- interaction design --- Kansei engineering --- user satisfaction --- voice-based intelligent system --- dynamic gesture recognition --- gesture spotting --- self-organizing map --- computational psychology --- computational cognitive modeling --- machine learning --- concept blending --- conceptual combinations --- recall --- computational creativity --- cognition --- instance selection --- clustering --- information processing --- cognitive aspects --- remote --- virtual simulation --- incident commander --- user experiences --- problem solving --- decision making --- assessment --- learning --- privacy-preserving computations --- homomorphic encryption --- EEG signals --- school children --- functional vision --- vision screening --- vision training --- eye-tracking --- stakeholders --- human–robot interaction --- social gaze --- eye-to-eye contact --- emotional interfaces --- eye–brain–computer interfaces --- attention --- reflection --- usability --- brain hemispheric lateralization --- online educational material --- instructional design --- methodology --- model --- virtual reality --- virtual environment --- stress --- spaceflight --- training --- EEG --- emotion --- neural networks --- M3GP --- BED --- Emotiv --- multiclass --- deep learning --- traffic accident --- spatially prolonged risk --- Gestalt --- proximity --- open data --- n/a --- human-AI interaction --- human-robot interaction --- eye-brain-computer interfaces