100 results for "auditory attention" · page 9 of 10 · ranked by relevance
…The results indicated that both the visual and auditory stimuli had a…
This dataset contains scalp EEG recordings from healthy young adults exposed to one hour of 40 Hz audiovisual flicker stimulation, no-flicker control, or randomized sham flicker, while performing a psychomotor vigilance task. The dataset aims to investigate the neural effects of multisensory gamma-frequency flicker stimulation in humans.
…in-noise perception and auditory selective attention. The tasks were carried out…
This dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.
This dataset comprises unprocessed EEG recordings from 31 healthy adult participants (age 18-66, 18 female) listening to 40 music clips of 12 s duration each of varying emotional content. The study investigates neural correlates of music-induced emotion through six runs of EEG recordings, including resting-state baseline and four music listening runs. Data were collected at 1 kHz sampling rate and are accompanied by participants' self-reported emotional responses, providing a resource for studying the relationship between brain activity and affective music perception. The musical stimuli were excerpts from film scores selected from Eerola & Vuoskoski (2010).
…Additionally, selective attention and intelligence quotient (IQ) were also evaluated. Then, individuals…
…Stimuli and TextGrids are available from the Massive Auditory Lexical Decision database…
…EEG recordings during a sustained-attention driving task BIDS-EEG conversion of…
This dataset comprises multimodal physiological recordings from 23 healthy adult participants collected during naturalistic smartphone interaction and standardized video viewing conditions. Simultaneous EEG (64-channel), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) data were acquired, synchronized via hardware TTL pulses. The dataset supports research into physiological and neural correlates of smartphone use and passive video viewing.
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