100 results for "neuroscience" · page 1 of 10 · ranked by relevance
…EEG and FMRI.” Frontiers in Neuroscience 11 (140). https://doi.org/10…
…Journal of Neuroscience, 41(43), 8946-8962. * Garofolo, J. S., Lamel, L…
…Social Cognitive And Affective Neuroscience, nsaf101. doi: https://doi.org/10.1093…
…EEG and FMRI.” Frontiers in Neuroscience 11 (140). https://doi.org/10…
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.
…as part of an EEG Workshop by the Student Network for Neuroscience.
This dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.
<!-- nemar:provenance --> ## Provenance This dataset is mirrored on NEMAR from OpenNeuro. - Source…
…www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2024.1329086…
This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.