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100 results for "auditory neuroscience" · page 8 of 10 · ranked by relevance
[ 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.
…Developmental Cognitive Neuroscience, 101163. APPLESEED code is available to download from https…
This dataset comprises EEG recordings from two related studies (2019 and 2021) investigating speech decoding through phoneme discrimination tasks combined with transcranial magnetic stimulation (TMS). Study 1 involved 8 participants performing discrimination of consonant-vowel and vowel-consonant phoneme pairs with TMS targeting motor cortex regions (lip and tongue motor areas). Study 2 expanded to 16 participants and included single phonemes, phoneme pairs, and phoneme triplets (real and pseudowords) with additional TMS targets in Broca's area and verbal memory regions. The dataset provides a comprehensive resource for investigating the neural mechanisms underlying speech perception and articulation.
This dataset contains intracranial EEG (iEEG) recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.
[ and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.