ABSeqMEG
…We tested this theory by probing working memory for 16-item sequences…
- Participants
- 19
- Citations
- 5
- Size
- 23.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
52 results for "m-sequences" · page 1 of 6 · ranked by relevance
…We tested this theory by probing working memory for 16-item sequences…
…Non-binary m-sequences for more comfortable brain-computer interfaces based on…
A derivative EEG dataset containing checkerboard m-sequence-based code-modulated visual evoked potential (c-VEP) recordings from 16 healthy participants across 8 sessions. This dataset is derived from the source dataset by Martínez-Cagigal et al. (2025) (DOI: 10.71569/7c67-v596) and is described in the publication by Fernández-Rodríguez et al. (2023) in Frontiers in Human Neuroscience. The dataset evaluates the influence of spatial frequency in visual stimuli for brain-computer interface applications, with 16-channel EEG data sampled at 256 Hz during a two-class visual stimulation paradigm.
…Importantly, the same audiovisual sequences were used in both tasks in order…
…8 tone sequences - 4 musical duets - 4 constant pitch sequences - 5 joint…
MEGMEM is a magnetoencephalography (MEG) dataset acquired during a memory task designed to investigate neural mechanisms of episodic memory encoding and retrieval. The dataset contains raw MEG recordings from multiple subjects performing structured memory experiments, providing a resource for studying oscillatory dynamics and neural correlates of memory processes.
…Visual stimulation with pseudo-random bit-sequences evokes specific Broad-Band Visually…
BIDS-EMG dataset - HDsEMG recordings of tibialis anterior during isometric contractions at 30% and 50% MVC, 6 subjects, 256-channel grids (MUniverse benchmark)
…Item-level oscillatory dynamics during the recall of VSWM sequences were related…
This dataset comprises 64-channel EEG recordings from 20 participants performing a finger motor imagery task, in which finger cues were presented in either random or sequential block orders, counterbalanced across subjects. The paradigm aims to investigate the effects of cue order predictability on motor imagery execution and associated neural dynamics. Data were collected using a g.tec EEG system and organized in BIDS format.