Characterizing the shared signals of face familiarity: Long-term acquaintance, voluntary control, and concealed knowledge
Authors: Dalski, A., Kovács, G., Wiese, H. and Ambrus, G.G.
Journal: Brain Research
Volume: 1796
eISSN: 1872-6240
ISSN: 0006-8993
DOI: 10.1016/j.brainres.2022.148094
Abstract:In a recent study using cross-experiment multivariate classification of EEG patterns, we found evidence for a shared familiarity signal for faces, patterns of neural activity that successfully separate trials for familiar and unfamiliar faces across participants and modes of familiarization. Here, our aim was to expand upon this research to further characterize the spatio-temporal properties of this signal. By utilizing the information content present for incidental exposure to personally familiar and unfamiliar faces, we tested how the information content in the neural signal unfolds over time under different task demands – giving truthful or deceptive responses to photographs of genuinely familiar and unfamiliar individuals. For this goal, we re-analyzed data from two previously published experiments using within-experiment leave-one-subject-out and cross-experiment classification of face familiarity. We observed that the general face familiarity signal, consistent with its previously described spatio-temporal properties, is present for long-term personally familiar faces under passive viewing, as well as for acknowledged and concealed familiarity responses. Also, central-posterior regions contain information related to deception. We propose that signals in the 200–400 ms window are modulated by top-down task-related anticipation, while the patterns in the 400–600 ms window are influenced by conscious effort to deceive. To our knowledge, this is the first report describing the representational dynamics of concealed knowledge for faces, using time-resolved multivariate classification.
https://eprints.bournemouth.ac.uk/37523/
Source: Scopus
Characterizing the shared signals of face familiarity: Long-term acquaintance, voluntary control, and concealed knowledge.
Authors: Dalski, A., Kovács, G., Wiese, H. and Ambrus, G.G.
Journal: Brain Res
Volume: 1796
Pages: 148094
eISSN: 1872-6240
DOI: 10.1016/j.brainres.2022.148094
Abstract:In a recent study using cross-experiment multivariate classification of EEG patterns, we found evidence for a shared familiarity signal for faces, patterns of neural activity that successfully separate trials for familiar and unfamiliar faces across participants and modes of familiarization. Here, our aim was to expand upon this research to further characterize the spatio-temporal properties of this signal. By utilizing the information content present for incidental exposure to personally familiar and unfamiliar faces, we tested how the information content in the neural signal unfolds over time under different task demands - giving truthful or deceptive responses to photographs of genuinely familiar and unfamiliar individuals. For this goal, we re-analyzed data from two previously published experiments using within-experiment leave-one-subject-out and cross-experiment classification of face familiarity. We observed that the general face familiarity signal, consistent with its previously described spatio-temporal properties, is present for long-term personally familiar faces under passive viewing, as well as for acknowledged and concealed familiarity responses. Also, central-posterior regions contain information related to deception. We propose that signals in the 200-400 ms window are modulated by top-down task-related anticipation, while the patterns in the 400-600 ms window are influenced by conscious effort to deceive. To our knowledge, this is the first report describing the representational dynamics of concealed knowledge for faces, using time-resolved multivariate classification.
https://eprints.bournemouth.ac.uk/37523/
Source: PubMed
Characterizing the shared signals of face familiarity: Long-term acquaintance, voluntary control, and concealed knowledge
Authors: Dalski, A., Kovacs, G., Wiese, H. and Ambrus, G.G.
Journal: BRAIN RESEARCH
Volume: 1796
eISSN: 1872-6240
ISSN: 0006-8993
DOI: 10.1016/j.brainres.2022.148094
https://eprints.bournemouth.ac.uk/37523/
Source: Web of Science (Lite)
Characterizing the shared signals of face familiarity: long-term acquaintance, voluntary control, and concealed knowledge
Authors: Dalski, A., Kovács, G., Wiese, H. and Ambrus, G.G.
Journal: Brain Research
Volume: 1796
Pages: 148094
Publisher: Elsevier BV
ISSN: 0006-8993
DOI: 10.1016/j.brainres.2022.148094
Abstract:In a recent study using cross-experiment multivariate classification of EEG patterns, we found evidence for a shared familiarity signal for faces, patterns of neural activity that successfully separate trials for familiar and unfamiliar faces across participants and modes of familiarization. Here, our aim was to expand upon this research to further characterize the spatio-temporal properties of this signal. By utilizing the information content present for incidental exposure to personally familiar and unfamiliar faces, we tested how the information content in the neural signal unfolds over time under different task demands – giving truthful or deceptive responses to photographs of genuinely familiar and unfamiliar individuals. For this goal, we re-analyzed data from two previously published experiments using within-experiment leave-one-subject-out and cross-experiment classification of face familiarity. We observed that the general face familiarity signal, consistent with its previously described spatio-temporal properties, is present for long-term personally familiar faces under passive viewing, as well as for acknowledged and concealed familiarity responses. Also, central-posterior regions contain information related to deception. We propose that signals in the 200-400 ms window are modulated by top-down task-related anticipation, while the patterns in the 400-600 ms window are influenced by conscious effort to deceive. To our knowledge, this is the first report describing the representational dynamics of concealed knowledge for faces, using time-resolved multivariate classification.
https://eprints.bournemouth.ac.uk/37523/
Source: Manual
Characterizing the shared signals of face familiarity: Long-term acquaintance, voluntary control, and concealed knowledge.
Authors: Dalski, A., Kovács, G., Wiese, H. and Ambrus, G.G.
Journal: Brain research
Volume: 1796
Pages: 148094
eISSN: 1872-6240
ISSN: 0006-8993
DOI: 10.1016/j.brainres.2022.148094
Abstract:In a recent study using cross-experiment multivariate classification of EEG patterns, we found evidence for a shared familiarity signal for faces, patterns of neural activity that successfully separate trials for familiar and unfamiliar faces across participants and modes of familiarization. Here, our aim was to expand upon this research to further characterize the spatio-temporal properties of this signal. By utilizing the information content present for incidental exposure to personally familiar and unfamiliar faces, we tested how the information content in the neural signal unfolds over time under different task demands - giving truthful or deceptive responses to photographs of genuinely familiar and unfamiliar individuals. For this goal, we re-analyzed data from two previously published experiments using within-experiment leave-one-subject-out and cross-experiment classification of face familiarity. We observed that the general face familiarity signal, consistent with its previously described spatio-temporal properties, is present for long-term personally familiar faces under passive viewing, as well as for acknowledged and concealed familiarity responses. Also, central-posterior regions contain information related to deception. We propose that signals in the 200-400 ms window are modulated by top-down task-related anticipation, while the patterns in the 400-600 ms window are influenced by conscious effort to deceive. To our knowledge, this is the first report describing the representational dynamics of concealed knowledge for faces, using time-resolved multivariate classification.
https://eprints.bournemouth.ac.uk/37523/
Source: Europe PubMed Central
Characterizing the shared signals of face familiarity: long-term acquaintance, voluntary control, and concealed knowledge
Authors: Dalski, A., Kovács, G., Wiese, H. and Ambrus, G.G.
Journal: Brain Research
Volume: 1796
Issue: December
Publisher: Elsevier BV
ISSN: 0006-8993
Abstract:In a recent study using cross-experiment multivariate classification of EEG patterns, we found evidence for a shared familiarity signal for faces, patterns of neural activity that successfully separate trials for familiar and unfamiliar faces across participants and modes of familiarization. Here, our aim was to expand upon this research to further characterize the spatio-temporal properties of this signal. By utilizing the information content present for incidental exposure to personally familiar and unfamiliar faces, we tested how the information content in the neural signal unfolds over time under different task demands – giving truthful or deceptive responses to photographs of genuinely familiar and unfamiliar individuals. For this goal, we re-analyzed data from two previously published experiments using within-experiment leave-one-subject-out and cross-experiment classification of face familiarity. We observed that the general face familiarity signal, consistent with its previously described spatio-temporal properties, is present for long-term personally familiar faces under passive viewing, as well as for acknowledged and concealed familiarity responses. Also, central-posterior regions contain information related to deception. We propose that signals in the 200-400 ms window are modulated by top-down task-related anticipation, while the patterns in the 400-600 ms window are influenced by conscious effort to deceive. To our knowledge, this is the first report describing the representational dynamics of concealed knowledge for faces, using time-resolved multivariate classification.
https://eprints.bournemouth.ac.uk/37523/
Source: BURO EPrints