Go-nogo categorization and detection task
…More specifically, in the animal categorization task, participants had to respond whenever…
- Participants
- 14
- Channels
- 31 (10-20)
- Size
- 9.22 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
26 results for "animal categorization" · page 1 of 3 · ranked by relevance
…More specifically, in the animal categorization task, participants had to respond whenever…
…Decoding of semantic categories of imagined concepts of animals and tools in…
…of the semantic categories of animals and tools presented to participants. ### Example…
FOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants across two testing sessions. Session 1 involved a food categorisation task with continuous EEG recording, while Session 2 comprised a food go/no-go task and a food paired choice task, along with questionnaires on dietary style and eating motivations. The dataset also includes normative ratings on 22 food attributes collected from an independent online sample (N = 624), providing a rich resource for studying neural and behavioural correlates of food-related decision-making.
This dataset comprises behavioral events and intracranial electrophysiological recordings from a categorized free recall task conducted across multiple clinical sites. Participants studied semantically organized word lists (12 items from 3 categories with paired exemplars), performed a distractor task, and freely recalled the words. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information, supporting investigations of memory encoding and retrieval processes.
…human body, human face, animal body, animal face, fruit/vegetable, and inanimate…
This dataset contains EEG recordings from 24 pairs of participants who performed a collaborative 4-way categorisation task based on rules they agreed upon together, along with pre- and post-test sessions using the same stimuli. The study investigates whether collaborative rule learning promotes alignment of neural information between interacting brains, contributing to research on interbrain synchrony and social cognition.
This dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
…Right Hand & animal name: 13 Right Hand & non-animal word: 14 Left…
…It doesn’t matter if the animal is presented as a sign…