100 results for "auditory temporal processing" · page 6 of 10 · ranked by relevance
…this study is to derive Auditory Brainstem Response (ABR) from continuous music…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004579-blue…
…varying selective attention and the processing of sensory stimuli with distinct features…
…subcortex and cortex, entitled "The auditory brainstem response to natural speech is…
This dataset contains electroencephalogram (EEG) recordings from 19 healthy participants using a brain-computer music interface designed to enable real-time control of musical tempo through motor imagery. Participants performed kinesthetic motor imagery tasks—imagining squeezing a ball to increase tempo or relaxing to decrease tempo—across nine experimental runs including a calibration phase. The data were collected at 1 kHz sampling rate with 20-second epochs synchronized to music clips, providing a resource for investigating the neural correlates of intentional tempo modulation and music-based brain-computer interface design. This dataset accompanies the publication by Daly et al. (2018). Full methodological details are available in Daly et al. (2014a, 2014b).
[ recordings and behavioral ratings collected during exposure to sonic-seasoning soundscapes. Participants completed eyes-open and eyes-closed baseline recordings followed by approximately 17-second exposures to jungle and deconstruct soundscapes while EEG was continuously recorded. The dataset includes raw EEG data, event markers, hedonic liking ratings, baseline state assessments, and stimulus audio files, with processed EEGLAB-compatible derivatives provided for secondary analysis.
This event-related potential (ERP) study investigates semantic and syntactic language processing in deaf readers by examining neural responses to grammatical violations and semantic anomalies. Participants viewed 180 sentences presented in rapid serial visual presentation (RSVP) format while EEG was recorded, with conditions including subject-verb agreement violations, semantic violations, combined violations, word-order violations, and correct control sentences. The research provides insights into the neural mechanisms underlying language comprehension in deaf populations.
…The MEG data was first preprocessed using the temporal Signal Space Separation…