Simultaneous eeg-fmri for a speeded discrimination task with confidence
…FMRI PREPROCESSING We modeled the BOLD signal using a general linear model…
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88 results for "animal model" · page 3 of 9 · ranked by relevance
…FMRI PREPROCESSING We modeled the BOLD signal using a general linear model…
…The development of subject-independent models eliminates the need to collect data…
…Numerous datasets are publicly available for any researcher to design models for…
…After collecting sufficient training data, classifier models predict recall in closed-loop…
…either GSN 200 model or HydroCel GSN model) using the Netstation acquisition…
…Processed data and model fits reported in Yuasa et al., (2023) are…
…Key research objectives: - Generic models that work across users without calibration - Discrete…
…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…