A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 197

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3145
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

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

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

Sci Data

The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, Australia.

Published: March 2025

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11890752PMC
http://dx.doi.org/10.1038/s41597-025-04744-zDOI Listing

Publication Analysis

Top Keywords

object recognition
12
human infants
12
recognition semantic
8
semantic knowledge
8
developmental trajectory
8
human
6
visual
5
human infant
4
infant eeg
4
eeg recordings
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!