Gwilliams et al. 2023 — Introducing MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing
…This data collection provides a suitable benchmark to large-scale encoding and…
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- Jun 3, 2026
100 results for "encoding model" · page 6 of 10 · ranked by relevance
…This data collection provides a suitable benchmark to large-scale encoding and…
…We defined a linear generative model that decomposes full responses into overlapping…
…Text embeddings computed by different pre-trained language models (including Word2Vec, BERT…
…1.51s (2.2× slower than trackpad) **Model architecture**: MPF features + LSTM…
This dataset contains intracranial EEG data recorded during non-REM sleep and…
This dataset contains intracranial EEG data recorded during non-REM sleep and…
This dataset contains intracranial EEG data recorded during non-REM sleep and…
…We include the ICA decomposition and dipole model in EEG.etc. The…
…Neuroscan Cap model: Quik-Cap Participants ------------ Number of subjects: 62 Health status…
…data loading, preprocessing, and decoding models is available at: https://github.com…