EEG dataset for natural image recognition through visual stimuliMendeley Data
Electroencephalography (EEG) is a technique for measuring the brain's electrical activity in the form of action potentials with electrodes placed on the scalp. Because of its non-invasive nature and ease of use, the approach is becoming increasingly popular for investigations. EEG reveals a wid...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925003701 |
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| author | Nandan Tiwari Shamama Anwar Vandana Bhattacharjee |
| author_facet | Nandan Tiwari Shamama Anwar Vandana Bhattacharjee |
| author_sort | Nandan Tiwari |
| collection | DOAJ |
| description | Electroencephalography (EEG) is a technique for measuring the brain's electrical activity in the form of action potentials with electrodes placed on the scalp. Because of its non-invasive nature and ease of use, the approach is becoming increasingly popular for investigations. EEG reveals a wide spectrum of human brain potentials, such as event-related, sensory, and visually evoked potentials (VEPs), which aids in the development of intricate applications. Developing Apps or Brain-Computer Interface (BCI) devices demands data on these potentials. The present dataset comprises EEG recordings generated by thirty-two individuals in reaction to visual stimuli (VEPs). The rationale behind gathering this data is its ability to support EEG-based image classification and reconstruction while also advancing visual decoding. The primary purpose is to examine the cognitive processes behind both familiar and unfamiliar observations. A standardized experimental setup comprising many experimental phases was employed to capture the essence of the investigation and gather the dataset. |
| format | Article |
| id | doaj-art-9d4698ecc0de4b54a0a5e4b7cc9a020e |
| institution | DOAJ |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-9d4698ecc0de4b54a0a5e4b7cc9a020e2025-08-20T03:10:30ZengElsevierData in Brief2352-34092025-06-016011163910.1016/j.dib.2025.111639EEG dataset for natural image recognition through visual stimuliMendeley DataNandan Tiwari0Shamama Anwar1Vandana Bhattacharjee2Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, 835215 Ranchi, IndiaCorresponding author.; Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, 835215 Ranchi, IndiaDepartment of Computer Science and Engineering, Birla Institute of Technology, Mesra, 835215 Ranchi, IndiaElectroencephalography (EEG) is a technique for measuring the brain's electrical activity in the form of action potentials with electrodes placed on the scalp. Because of its non-invasive nature and ease of use, the approach is becoming increasingly popular for investigations. EEG reveals a wide spectrum of human brain potentials, such as event-related, sensory, and visually evoked potentials (VEPs), which aids in the development of intricate applications. Developing Apps or Brain-Computer Interface (BCI) devices demands data on these potentials. The present dataset comprises EEG recordings generated by thirty-two individuals in reaction to visual stimuli (VEPs). The rationale behind gathering this data is its ability to support EEG-based image classification and reconstruction while also advancing visual decoding. The primary purpose is to examine the cognitive processes behind both familiar and unfamiliar observations. A standardized experimental setup comprising many experimental phases was employed to capture the essence of the investigation and gather the dataset.http://www.sciencedirect.com/science/article/pii/S2352340925003701ElectroencephalographyVisual stimuliBrain computer interfaceVisual imagery |
| spellingShingle | Nandan Tiwari Shamama Anwar Vandana Bhattacharjee EEG dataset for natural image recognition through visual stimuliMendeley Data Data in Brief Electroencephalography Visual stimuli Brain computer interface Visual imagery |
| title | EEG dataset for natural image recognition through visual stimuliMendeley Data |
| title_full | EEG dataset for natural image recognition through visual stimuliMendeley Data |
| title_fullStr | EEG dataset for natural image recognition through visual stimuliMendeley Data |
| title_full_unstemmed | EEG dataset for natural image recognition through visual stimuliMendeley Data |
| title_short | EEG dataset for natural image recognition through visual stimuliMendeley Data |
| title_sort | eeg dataset for natural image recognition through visual stimulimendeley data |
| topic | Electroencephalography Visual stimuli Brain computer interface Visual imagery |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925003701 |
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