Discover datasets

This dataset contains raw neuroimaging recordings collected with the Visual Attribute-Specific Contextual Trajectory Paradigm 2.0. The paradigm is used to study how the brain generates domain-general visual surprise signals and how their latency depends on the visual attribute that is violated. It accompanies a pre-print on attribute-dependent latency of visual surprise signals.

Participants

35

Citations

1

Size

11.4 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains 124-channel EEG recordings from 13 participants who imagined and perceived stimuli from three modalities: visual pictorial, visual orthographic, and auditory. Stimuli came from three semantically dissimilar categories (guitar, flower, penguin). Raw, pre-processed, and epoched versions of the data are provided to support research on semantic decoding from EEG.

Participants

12

Channels

124 (10-05)

Citations

2

Size

79.1 GB

Version

v1.0.0

Updated

Jun 23, 2026

This dataset contains EEG recordings from 34 participants (one session each) who viewed 242 object images, 121 challenge and 121 control images, selected from comparisons between human behavioural performance and AlexNet. The study examines adaptive recruitment of cortex-wide recurrent processing during visual object recognition. The derivatives folder contains outputs of the decoding analyses, including time-resolved decoding accuracy matrices for object identity (.npz).

Participants

34

Channels

63 (10-10)

Citations

2

Size

61.2 GB

Version

v1.0.0

Updated

Jun 30, 2026

EEG dataset from 19 participants performing a visual P300 speller-like paradigm to assess how visual stimulus properties affect evoked responses and classification accuracy. Each participant completed three sessions with conditions varying the number of stimuli (4 to 9) and the flash type (standard flash versus a superimposed yellow smiling cartoon face). Recordings comprise 382 files from eight electrodes sampled at 256 Hz, with markers encoding trial phases and activated symbols.

Participants

19

Channels

9 (10-10)

Citations

1

Size

1.27 GB

Version

v1.0.0

Updated

May 13, 2026

…Following each perceptual decision, participants were asked to report their confidence about…

Participants

39

Channels

63 (10-10)

Size

997 MB

Version

v1.0.0

Updated

May 13, 2026

…read-only sessions, and "Optimizing learning via real-time neural decoding" (link…

Participants

34

Channels

128 (biosemi)

Citations

6

Size

1.30 TB

Version

v1.0.0

Updated

Jun 25, 2026

…Following each perceptual decision, participants were asked to report their confidence about…

Participants

40

Channels

68 (10-10)

Size

28.0 GB

Version

v1.0.0

Updated

Jun 18, 2026

EEG dataset investigating the neural representation of consciously seen and unseen information. The recordings were collected by Rodríguez-San Esteban, Chica, and González-López and are shared in BIDS format. The dataset is mirrored on NEMAR from OpenNeuro (ds005273).

Participants

33

Channels

63 (10-10)

Size

44.4 GB

Version

v1.0.0

Updated

Jun 26, 2026

…The transformation of sensory to perceptual braille letter representations in the visually…

Participants

11

Channels

63 (10-10)

Size

22.0 GB

Version

v1.0.0

Updated

Jun 26, 2026

EEG and eye-tracking dataset from 30 participants who searched for objects in real-world scenes or intentionally memorized objects in other scenes, then completed a surprise recognition memory test. The study asks whether the search superiority effect reflects purely stronger memory or also qualitative differences in recollection versus familiarity. The data include FN400 and LPC ERP components, remember-know judgments, and receiver operating characteristics. Behavioral data are split into encoding and memory testing phases.

Participants

30

Channels

61

Size

17.0 GB

Version

v1.0.0

Updated

Jun 26, 2026