Data for Serial Dependence in face-gender classification revealed in low-beta frequency EEG: Ranieri, Burr, Bell, and Morrone
<p dir="ltr">The neurophysiological mechanisms of how past perceptual experience affects current perception are poorly understood. Using classification techniques, we demonstrate that the response to gender of the previous face image of a sequence can be decoded from the neural activ...
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2025
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| _version_ | 1852019456834797569 |
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| author | David Burr (21482033) |
| author_facet | David Burr (21482033) |
| author_role | author |
| dc.creator.none.fl_str_mv | David Burr (21482033) |
| dc.date.none.fl_str_mv | 2025-06-10T12:48:42Z |
| dc.identifier.none.fl_str_mv | 10.6084/m9.figshare.29245106.v2 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Data_for_Serial_Dependence_in_face-gender_classification_revealed_in_low-beta_frequency_EEG_Ranieri_Burr_Bell_and_Morrone/29245106 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Sensory processes, perception and performance Vision EEG classification Beta rhythms |
| dc.title.none.fl_str_mv | Data for Serial Dependence in face-gender classification revealed in low-beta frequency EEG: Ranieri, Burr, Bell, and Morrone |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p dir="ltr">The neurophysiological mechanisms of how past perceptual experience affects current perception are poorly understood. Using classification techniques, we demonstrate that the response to gender of the previous face image of a sequence can be decoded from the neural activity of the current EEG response, showing that relevant neural signals are maintained over trials. Classification accuracy was higher for participants with strong serial dependence, strongly implicating these signals as the neural substrate for serial dependence. The best information to classify gender was around 14 Hz for “female” faces, and around 18 Hz for “male”, reinforcing the psychophysical results showing serial dependence to be carried at those beta-frequencies.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_72011bf46ffd4bf1fdb59681566e38cc |
| identifier_str_mv | 10.6084/m9.figshare.29245106.v2 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29245106 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Data for Serial Dependence in face-gender classification revealed in low-beta frequency EEG: Ranieri, Burr, Bell, and MorroneDavid Burr (21482033)Sensory processes, perception and performanceVisionEEG classificationBeta rhythms<p dir="ltr">The neurophysiological mechanisms of how past perceptual experience affects current perception are poorly understood. Using classification techniques, we demonstrate that the response to gender of the previous face image of a sequence can be decoded from the neural activity of the current EEG response, showing that relevant neural signals are maintained over trials. Classification accuracy was higher for participants with strong serial dependence, strongly implicating these signals as the neural substrate for serial dependence. The best information to classify gender was around 14 Hz for “female” faces, and around 18 Hz for “male”, reinforcing the psychophysical results showing serial dependence to be carried at those beta-frequencies.</p>2025-06-10T12:48:42ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.6084/m9.figshare.29245106.v2https://figshare.com/articles/dataset/Data_for_Serial_Dependence_in_face-gender_classification_revealed_in_low-beta_frequency_EEG_Ranieri_Burr_Bell_and_Morrone/29245106CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/292451062025-06-10T12:48:42Z |
| spellingShingle | Data for Serial Dependence in face-gender classification revealed in low-beta frequency EEG: Ranieri, Burr, Bell, and Morrone David Burr (21482033) Sensory processes, perception and performance Vision EEG classification Beta rhythms |
| status_str | publishedVersion |
| title | Data for Serial Dependence in face-gender classification revealed in low-beta frequency EEG: Ranieri, Burr, Bell, and Morrone |
| title_full | Data for Serial Dependence in face-gender classification revealed in low-beta frequency EEG: Ranieri, Burr, Bell, and Morrone |
| title_fullStr | Data for Serial Dependence in face-gender classification revealed in low-beta frequency EEG: Ranieri, Burr, Bell, and Morrone |
| title_full_unstemmed | Data for Serial Dependence in face-gender classification revealed in low-beta frequency EEG: Ranieri, Burr, Bell, and Morrone |
| title_short | Data for Serial Dependence in face-gender classification revealed in low-beta frequency EEG: Ranieri, Burr, Bell, and Morrone |
| title_sort | Data for Serial Dependence in face-gender classification revealed in low-beta frequency EEG: Ranieri, Burr, Bell, and Morrone |
| topic | Sensory processes, perception and performance Vision EEG classification Beta rhythms |