…This dataset aims to foster studies on neural decoding, perception, and cognitive…
…It also supports interdisciplinary investigations in educational neuroscience, cognitive training, and neural…
…10.82901/nemar.on007591) # Delineating neural contributions to EEG-based speech decoding…
…of cognitive overload; (2) studying neural (event-related potentials and brain oscillations…
…Bastin, Andrea Brovelli. Data from: Neural interactions in the human frontal cortex…
[, p.046035. [3] Rybář, M., 2023…
…Miranda, E., Nasuto, S.J., �Neural and physiological data from participants listening…
Electrophysiological dataset recorded from the amygdalae of nine epilepsy patients undergoing preoperative invasive monitoring in the mesial temporal lobe. Participants viewed dynamic visual sequences of fearful faces (aversive condition) interleaved with neutral landscapes (neutral condition). The dataset provides intracranial EEG in BIDS format, together with neuronal spike times and waveforms in NIX format, enabling study of amygdalar responses to aversive stimuli from macroscopic field potentials to single-neuron firing.
This dataset contains four-minute eyes-closed resting-state EEG recordings extracted from the Stimulus-Selective Response Modulation (SRM) project paradigm at the University of Oslo. It includes 64-channel BioSemi recordings from 111 healthy control participants at a first session (t1), with a subset re-recorded at a later session (t2). Raw data are provided with a fully automated cleaned derivative, along with demographic and cognitive test scores.