56 results for "Snodgrass & Vanderwart corpus" · page 1 of 6 · ranked by relevance
…calculated from the Xinhua news corpus and then log-transformed. 3. Textual…
…words back to their original corpus. * **Raw EEG (BIDS):** **Work in Progress…
…from the Manually Annotated Sub-Corpus (MASC) intermixed with random word lists…
This dataset comprises high-density and sparse functional near-infrared spectroscopy (fNIRS) measurements acquired during a Word-Color Stroop task. The study investigates whether high-density multi-distance fNIRS configurations enhance detection of brain activity compared to conventional sparse probe arrangements. Raw neuroimaging data from multiple participants are provided in BIDS format to support reproducible analysis of cognitive control mechanisms.
…the Snodgrass & Vanderwart black-and-white line drawing corpus [Snodgrass1980standardized]. "./code/experiment…
This dataset comprises high-density functional near-infrared spectroscopy (fNIRS) measurements acquired during a Word-Color Stroop task. The study compares high-density multi-distance fNIRS configurations with sparse fNIRS arrangements to evaluate their relative sensitivity in detecting brain activity during cognitive control tasks. Data were collected from multiple participants with concurrent behavioral performance metrics.
…DARPA TIMIT acoustic-phonetic continous speech corpus CD-ROM. NIST speech disc…
NeuroMorph is a high-temporal resolution MEG dataset designed for morpheme-based linguistic analysis, comprising recordings from 24 subjects totaling over 17 hours of data. Data were collected using a KIT/Yokogawa MEG system to investigate visual language and cognitive processing, with a focus on morphological structure in written language comprehension.
…Balanced corpus of contemporary written Japanese. Language Resources and Evaluation, 48, 345…
This dataset contains EEG recordings from participants performing a rapid serial visual presentation (RSVP) with flankers reading task involving sentences with semantic and syntactic violations. The study examined neural responses to subject-verb agreement violations, semantic violations, combined violations, and word-order violations compared to grammatically correct control sentences. Data were collected at the NeuroCognition Laboratory at San Diego State University under IRB approval.