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Human infant EEG recordings for 200 object images presented in rapid visual streams

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)
43 Downloads (Pure)

Abstract

Understanding the neural basis of human object recognition and semantic knowledge has been a significant area of exploration, with recent focus aiming to reveal the developmental trajectory of this core brain function. At present, however, there is limited access to high-quality neuroimaging data obtained from human infants. Addressing this gap, we present a dataset comprising electroencephalography responses from 42 human infants obtained in response to visual presentations of various objects. Leveraging a rapid serial visual presentation paradigm, 42 infants between 2 and 12 months of age viewed 200 images spanning 50 distinct objects, with as many repetitions as possible tailored to individual infants' comfort. Our technical validation demonstrates discernible neural responses, affirming the dataset's robustness and utility for exploring the neural underpinnings of visual object recognition in infancy. Building upon insights gained from adult studies, our findings suggest that fast presentation paradigms hold promise for efficiently capturing electrophysiological responses to a large array of visual stimuli in human infants. This dataset represents a valuable resource for advancing our understanding of the developmental trajectory of object recognition and semantic knowledge in the early stages of human life.
Original languageEnglish
Article number407
Number of pages7
JournalScientific Data
Volume12
Issue number1
DOIs
Publication statusPublished - Dec 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

Keywords

  • Multivariate pattern-analysis
  • Representations

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