…electroencephalography, EEG analysis, machine learning, end-to-end learning, brain-machine interface…
This dataset provides intracranial EEG recordings and behavioral events from a cued recall paired-associates memory task with open-loop electrical stimulation. Participants studied word pairs, completed an arithmetic distractor, and then performed cued recall. Stimulation was delivered to single hippocampal or entorhinal electrodes during either encoding or retrieval. Data were collected at clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.
…Cross-user, cross-session generalization - **Transfer learning**: Generic models with user-specific…
…Value Twelve participants completed three learning tasks. In each task the goal…
…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.
…Supramodal processing optimizes visual perceptual learning and plasticity. Neuroimage, 93, 32-46…
EEG dataset from a visual search task eliciting the N2pc event-related potential, collected as part of the PURSUE project. Participants were recruited at three primarily undergraduate institutions (Southern California, Massachusetts, and Virginia) in 2017 and 2018. The task follows the ERP CORE paradigm.
…In training: 'NEURAL NETWORKS AND DEEP LEARNING' (33 characters), in test: 'PATTERN…
…Sensitive Period of Native Phoneme Learning. International Journal of Environmental Research and…