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…dataset paper describing the collection, synchronization, and baseline modeling of this data…
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37 results for "interpersonal synchronization" · page 2 of 4 · ranked by relevance
…dataset paper describing the collection, synchronization, and baseline modeling of this data…
This dataset contains EEG recordings collected to investigate whether hypervigilance to social threats can be dissociated from altered perceptual decision-making in individuals experiencing loneliness. Event-related potentials and Drift Diffusion Modelling were used to examine the neural and cognitive mechanisms underlying social threat processing and decision-making in this population.
…processes. ## Synchronization All data streams were timestamped during acquisition, allowing synchronization between…
…s] Independent variables - [Electrocortical alpha synchronization in response to 'close_oc' event…
This dataset contains MEG recordings from a binocular rivalry experiment conducted in early 2014. Participants were presented with competing visual patterns while neural activity was recorded, with event markers capturing trial structure, stimulus presentations, and behavioral responses including manual tapping and perceptual reports of rivalry dominance. Anatomical MRI data is also included for each participant.
[. Participants listened to 60-second music clips designed to induce specific emotional states defined by valence and arousal dimensions. The dataset includes continuous EEG data sampled at 1 kHz alongside self-reported affective state ratings, enabling investigation of neural correlates of emotion and the efficacy of real-time music-based emotional state modulation.
…Novel Interictal iEEG Biomarker Capturing Synchronization Network Dynamics at the Epileptogenic Zone…
A large-scale longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings across 598 sessions with more than 250,000 trials of motor imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.