100 results for "predictive language processing" · page 8 of 10 · ranked by relevance
…Task included in Matlab programming language. Data collected circa 2012-2013 in…
Imported from OpenNeuro ds005262
Chisco-2.0 is an imagined speech EEG dataset comprising raw EDF recordings from two participants (sub-01 and sub-02). It is intended to support research into decoding imagined speech from electroencephalographic signals, providing a resource for brain-computer interface and speech neuroscience studies.
…Task included in Matlab programming language. Data collected 2016-2018 in the…
An open-access EEG dataset containing recordings from 15 healthy Spanish-speaking subjects performing imagined speech tasks. The dataset comprises 11 imagery classes (5 Spanish vowels and 6 directional commands) acquired using 6-channel EEG at 1024 Hz with preprocessed data (bandpass filtered 2-45 Hz). This BIDS-reformatted derivative is based on the original data described in Pressel et al. 2016 and supports brain-computer interface research and motor imagery classification studies.
…This is a naturalistic auditory language-comprehension paradigm designed to study how…
This dataset contains behavioral events and intracranial EEG recordings from a categorized free recall task with open-loop electrical stimulation applied during encoding. Participants studied semantically organized word lists, performed arithmetic distractor tasks, and then freely recalled the words. Stimulation was delivered to single electrodes in the hippocampus or entorhinal cortex during word encoding on a subset of trials, with data collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.
…version of *Le Petit Prince*. - Language: French - Format: Continuous audiobook - Segmentation: 9…
This dataset contains behavioral events and intracranial electrophysiological recordings from a free recall task with repeated word items, collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Participants studied lists of words presented visually, with items repeated at varying frequencies, and then freely recalled the words after a delay period. The dataset supports investigation of memory encoding and retrieval processes as a function of item repetition.
…Connectionist Temporal Classification (CTC) **Language model**: 6-gram modified Kneser-Ney (trained…