Model-based aversive learning in humans is supported by preferential task state reactivation
[ recordings from 29 healthy subjects performing mental arithmetic and motor imagery tasks. Experiment B focuses on mental arithmetic (serial subtraction) versus rest conditions across six sessions with preprocessed data at 200 Hz sampling rate. The dataset includes comprehensive preprocessing (bandpass filtering, ICA-based artifact rejection, common average referencing) and serves as a benchmark for validating hybrid BCI approaches that integrate multimodal neuroimaging signals.
…While convolutional neural networks captured the early visual activity evoked by geometric…
This dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.
…The role of rapid eye movement sleep in neural differentiation of memories…
…The neural dynamics underlying prioritisation of task-relevant information. Neurons, Behaviour, Data…
…The neural dynamics underlying prioritisation of task-relevant information. Neurons, Behaviour, Data…
This dataset provides complementary EEG recordings, obtained under photic stimulation with eyes open, from a cohort of individuals with Alzheimer's disease, frontotemporal dementia, and healthy controls previously described in a related open-eyes-closed EEG dataset. Recordings were collected at incremental photic stimulation frequencies (5-30 Hz) at the 2nd Department of Neurology, AHEPA University Hospital, Thessaloniki, Greece, using a 19-channel clinical EEG system. The dataset includes both raw and preprocessed (denoised) EEG data, intended to support research on neurodegenerative disease biomarkers and cognitive decline.
…These tasks, which are publicly available, were optimized to capture neural activity…
…increasingly employed to elucidate these neural mechanisms of object recognition across these…