memoryreplay
…As in the memory phase, at the onset of a trial, the…
- Participants
- 25
- Citations
- 13
- Size
- 204 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
92 results for "memory retrieval" · page 6 of 10 · ranked by relevance
…As in the memory phase, at the onset of a trial, the…
This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.
This magnetoencephalography (MEG) dataset comprises neuroimaging data collected to establish standardized protocols for cross-site pooling of MEG data. The dataset demonstrates the application of BIDS formatting to MEG neuroimaging, facilitating data harmonization and reproducible analysis across multiple research institutions.
Visual Working Memory. Mostly unpublished! Beh data published here: 10.3758/s13415…
…Motor control processes moderate visual working memory gating. The Journal of Neuroscience…
Imported from OpenNeuro ds003825
…naming, auditory naming and working memory tasks). All participants provided a written…
FOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants across two testing sessions. Session 1 involved a food categorisation task with continuous EEG recording, while Session 2 comprised a food go/no-go task and a food paired choice task, along with questionnaires on dietary style and eating motivations. The dataset also includes normative ratings on 22 food attributes collected from an independent online sample (N = 624), providing a rich resource for studying neural and behavioural correlates of food-related decision-making.
NeuroMorph is a high-temporal resolution MEG dataset designed for morpheme-based linguistic analysis, comprising recordings from 24 subjects totaling over 17 hours of data. Data were collected using a KIT/Yokogawa MEG system to investigate visual language and cognitive processing, with a focus on morphological structure in written language comprehension.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005932-blue…