…and performed a paired-associates verbal episodic memory task. Six of them…
EEG and eye-tracking dataset from 30 participants who searched for objects in real-world scenes or intentionally memorized objects in other scenes, then completed a surprise recognition memory test. The study asks whether the search superiority effect reflects purely stronger memory or also qualitative differences in recollection versus familiarity. The data include FN400 and LPC ERP components, remember-know judgments, and receiver operating characteristics. Behavioral data are split into encoding and memory testing phases.
…on the potential difference between verbal cues (i.e., literal and metaphorical…
EEG recordings from six healthy participants performing imagined speech of long words, comprising two word classes (cooperate and independent), with 64 channels recorded at 256 Hz. Trials were cued by auditory beeps and visual cues, and the data were analyzed with Riemannian manifold covariance features and relevance vector machines for brain-computer interface classification. The dataset is re-hosted in BIDS format from the MOABB benchmark collection.
…the paper "Model-based aversive learning in humans is supported by preferential…
This dataset contains 64-channel EEG recordings and behavioural ratings from four participants who read and evaluated 210 short English-language texts: Haiku, Senryu, and non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. These participants' recordings were acquired in segments because of session interruptions and were concatenated during preprocessing. They are released as a companion to the main Poetry Assessment EEG Dataset 1 for completeness and transparency.
…The participants were instructed verbally as well as in written form directly…
Preprocessed 64-channel EEG recordings from six healthy participants performing imagined speech of a short word ('in') versus a long word ('cooperate'). The data were band-pass and notch filtered and cleaned of EOG artifacts. They were used to classify imagined speech with Riemannian manifold covariance features and relevance vector machines for brain-computer interface applications. The dataset is re-hosted in BIDS format through the MOABB benchmark collection.
A motor imagery EEG dataset from 54 healthy participants performing binary left/right hand grasping imagery across two sessions on different days. Recordings were made with 62 EEG channels plus 4 EMG channels at 1000 Hz. The data belong to a larger multi-paradigm BCI collection (MI, ERP, SSVEP) used to investigate BCI illiteracy and variation in decoding performance across subjects and sessions.
…Online performance is reported for three completely unsupervised learning methods: (1) learning…