Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
[ while attempting to identify target symbols among 36 pseudo-randomly flashed stimuli. EEG data were acquired using 32 wet electrodes at 512 Hz, with real-time adaptive Riemannian classification providing online feedback in a calibration-free BCI system. This is a derivative dataset processed from raw EEG recordings.
[ sampled at 200 Hz, with 1590 total trials organized for cross-subject and cross-dataset generalization assessment.
[, structural connectomes derived from diffusion imaging, and EEG source imaging solutions. This resource supports multimodal methods development, structure-function relationship studies, and optimization of source imaging and graph analysis techniques.
…The ADM-encoded data are processed by a hardware Spiking Neural Network…
…The neural dynamics underlying prioritisation of task-relevant information. Neurons, Behaviour, Data…
…The neural dynamics underlying prioritisation of task-relevant information. Neurons, Behaviour, Data…