Neural decoding of competitive decision-making in Rock-Paper-Scissors
…Social Cognitive And Affective Neuroscience, nsaf101. doi: https://doi.org/10.1093…
- Participants
- 31
- Channels
- 64
- Size
- 78.0 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
100 results for "visual neuroscience" · page 8 of 10 · ranked by relevance
…Social Cognitive And Affective Neuroscience, nsaf101. doi: https://doi.org/10.1093…
…Journal of Neuroscience (in press). # License This dataset is made available under…
…out in Cognitive, Affective, & Behavioral Neuroscience. THIS IS EXPERIMENT #2. Your best…
…Frontiers in Neuroscience. 2024. DOI: [in peer review]. License ------- This dataset is…
This dataset comprises electroencephalography (EEG) recordings from 7 participants performing an auditory imagery task, wherein subjects imagined sounds produced by objects from semantic categories (animals and tools) for 5-second intervals. EEG signals were acquired using a 64-channel BioSemi ActiveTwo system sampled at 2048 Hz, with concurrent electrooculography and physiological monitoring. The dataset supports research in semantic decoding and brain-computer interface applications using imagined auditory stimuli.
…The delay between the trigger and the visual onset of an on…
This dataset comprises stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task, collected in the epilepsy monitoring unit at Oregon Health & Science University. The data extends characterization of movement-related neural oscillations using intracranial electrode recordings, providing insights into canonical motor-related activity patterns across distributed brain regions.
…Frontiers in Neuroscience, 14, 566147. https://doi.org/10.3389/fnins.2020…
This dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.