TSS_iEEG
[ recordings from 21 participants performing a continuous feedback prediction task. Participants learned to predict the final level of an animated rising bar under varying conditions of outcome predictability (highly predictable, somewhat predictable, and unpredictable), with performance feedback provided through point rewards. The dataset includes behavioral responses, stimulus timing information, and trigger codes for experimental events, enabling investigation of neural correlates of prediction, feedback processing, and learning under uncertainty.
…wheel and brake / foot pedals (Real Time Technologies; Dearborn, MI); Video Refresh…
A sample intracranial electrophysiology dataset collected during natural listening tasks, including evoked responses to movie trailers and speech stimuli (TIMIT corpus), along with examples of seizure activity and vagus nerve stimulator artifact. This tutorial dataset from the WIRED ICM course demonstrates clinical iEEG recordings from patients with epilepsy, providing illustrative examples of both neural responses to naturalistic audiovisual stimuli and common artifacts encountered in intracranial recordings.
…T.R., & CTRL-labs at Reality Labs. (2025). A generic non-invasive…
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.