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Related Experiment Video

Updated: Feb 5, 2026

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children

Published on: September 1, 2018

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children.

Lucy K Goodman¹, Nicola S Anstice², Suzanne Stevens³

¹School of Optometry and Vision Science, The University of Auckland.

Journal of Visualized Experiments : Jove

|September 18, 2018

Summary

Eyeblink conditioning in infants is challenging. Frame-by-frame video analysis is crucial for accurately detecting infant blinks and studying cerebellar-dependent learning in neurological disorders.

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Last Updated: Feb 5, 2026

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children

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The Use of Trace Eyeblink Classical Conditioning to Assess Hippocampal Dysfunction in a Rat Model of Fetal Alcohol Spectrum Disorders

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Published on: August 5, 2017

Area of Science:

Neuroscience
Developmental Psychology
Behavioral Science

Background:

Classical eyeblink conditioning (EBC) is a key paradigm for studying cerebellar-dependent learning and memory.
EBC is widely used to detect learning and memory abnormalities in various neurological disorders.
Administering EBC in infants presents unique challenges due to compliance issues and equipment positioning.

Purpose of the Study:

To investigate the effectiveness of EBC in one-year-old infants.
To identify reliable methods for detecting and classifying behavioral responses in infant conditioning experiments.
To explore the utility of EBC in studying developmental changes and detecting neurological disorders in children.

Main Methods:

Utilized a custom-made or adapted commercial system for air puff delivery to the infant cornea.
Employed frame-by-frame analysis of supplementary video camera recordings for blink detection.
Compared automated blink detection methods with manual video analysis.

Main Results:

Automated blink detection methods were found to be unreliable in the infant population.
Frame-by-frame video analysis proved effective for accurate blink detection and response classification.
The study established a viable method for conducting EBC in one-year-old infants.

Conclusions:

Frame-by-frame video analysis is essential for reliable eyeblink conditioning experiments in infants.
This methodology can be applied to investigate developmental trajectories of learning and memory.
EBC, analyzed via video, holds potential for identifying neurological disorders in children.