…Cross-user, cross-session generalization - **Transfer learning**: Generic models with user-specific…
MEG dataset from a logical reasoning study collected by the Cognitive and Computational Neuroscience Laboratory (UPM - UCM). The dataset is organized in BIDS format and mirrored on NEMAR from the OpenNeuro deposit ds003483.
…Value Twelve participants completed three learning tasks. In each task the goal…
NOD-EEG is an electroencephalography dataset of human responses to naturalistic ImageNet object images. It extends the Natural Object Dataset-fMRI (NOD-fMRI) by recording EEG, and MEG in a companion dataset, from the same subjects viewing the same stimuli. Together the three modalities support study of object recognition with both high spatial and high temporal resolution. The dataset includes raw BIDS data, preprocessed continuous data, epoched data, and detailed trial-level metadata.
…Few-shot learning, transfer learning - **Sequence modeling**: Character-level prediction with attention…
This dataset contains behavioral events and intracranial EEG recordings from a delayed free recall task with closed-loop electrical stimulation delivered during word encoding. A logistic regression classifier trained on participants' prior free recall sessions predicts subsequent recall from encoding-period neural activity, and stimulation is triggered when predicted recall is low. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.
…Continuous sensorimotor rhythm based brain computer interface learning in a large population…
This dataset contains EEG/ERP recordings from a randomized controlled trial comparing forward span training, backward span training, and no-intervention control groups on working memory. Recordings were collected at pre-, mid-, and post-test while participants performed a distractor version of the change detection task, and behavioral data were collected from additional change detection and suppress tasks. The data support analyses of working memory maintenance and interference control, indexed by Kmax and contralateral delay activity (CDA).
…Supramodal processing optimizes visual perceptual learning and plasticity. Neuroimage, 93, 32-46…
…In training: 'NEURAL NETWORKS AND DEEP LEARNING' (33 characters), in test: 'PATTERN…