Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
Year: 2025
Type: preprint
Abstract: The current study consisted of three parts: (1) collection of behavioural data, (2) analysis of both pre-collected EEG data (‘Fast EEG’), and newly acquired EEG data (‘Slow EEG’), and (3) Representational Similarity Analysis using data from (1) and (2). Here, we share all analysis codes, the behavioural RDMs, and an example dataset for 'Slow EEG'. 'Fast EEG' is a pre-existing, publicly available dataset: Grootswagers, T., Zhou, I., Robinson, A. K., Hebart, M. N., & Carlson, T. A. (2022). Human EEG recordings for 1,854 concepts presented in rapid serial visual presentation streams. Scientific Data, 9(1), 3. doi:10.1038/s41597-021-01102-7
Source: OSF Preprints (OSF Preprints)
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6887720360
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