100 results for "semantic decoding" · page 6 of 10 · ranked by relevance
…outputs from the decoding analyses, including time-resolved decoding accuracy matrices for…
This dataset contains raw and processed EEG recordings from participants performing silent visual reading of naturalistic narrative stories, investigating auditory representations of words during silent reading. Data include BrainVision-format EEG recordings organized according to BIDS, along with derivative processed EEG signals, metadata linking sessions to stories and runs, and word-level feature embeddings.
This dataset investigates the neural representation of consciously seen and unseen information, likely using EEG recordings to examine visual consciousness and perception. It is designed to support research into the neural correlates of conscious versus unconscious processing of visual stimuli.
…https://github.com/SMNPLab/Realtime_decoding_neurotypical.git This work was funded…
…face_1_prep Decoding: face_2_dec RSA: face_3_rsa Statistical…
This dataset contains MEG recordings from a study investigating how the human brain compresses regular binary sound sequences in working memory, testing the language of thought hypothesis. Participants listened to hierarchically structured sequences of two sounds varying in complexity, quantified via minimal description length, while occasional deviant sounds probed their internalized knowledge of sequence structure. The study aimed to characterize how brain activity relates to sequence complexity and predictive processing.
This dataset comprises intracranial EEG recordings and behavioral events from a paired-associates memory task incorporating open-loop electrical stimulation at either encoding or retrieval. Participants studied word pairs, performed an arithmetic distractor task, and completed cued recall, with stimulation applied to hippocampal or entorhinal cortex electrodes on a subset of lists. Data were collected across multiple clinical sites in collaboration with the University of Pennsylvania Computational Memory Lab, and represent an open-loop stimulation variant of the PAL1 dataset.
This dataset contains 64-channel EEG recordings from 41 Japanese native speakers who read Japanese newspaper articles from the Balanced Corpus of Contemporary Written Japanese (BCCWJ), presented word by word via rapid serial visual presentation. It is part of the BCCWJ-Brain collection, which also includes fMRI and MEG datasets acquired from separate participant groups using the same stimuli, enabling cross-modal comparisons of language processing with complementary spatial and temporal resolution.
…This dataset aims to foster studies on neural decoding, perception, and cognitive…
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.