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Updated: May 11, 2026

A Semantic Priming Event-related Potential (ERP) Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder
Published on: April 12, 2018
Early dynamics of the semantic priming shift
Frédéric Lavigne1, Lucile Chanquoy, Laurent Dumercy
1Laboratoire Bases, Corpus, Langage, UMR 7320, CNRS and Université de Nice-Sophia Antipolis, France.
This study reveals an early semantic priming shift, where word meanings activate associates of the first prime and then the second. This finding clarifies how working memory processes sequential word meanings.
Area of Science:
- Cognitive Neuroscience
- Computational Neuroscience
- Psycholinguistics
Background:
- Semantic processing of word sequences taxes limited working memory capacity.
- Real-time word meaning updates depend on dynamic associative activation.
- Previous research showed semantic priming shifts with long stimulus-onset asynchronies (SOAs).
Purpose of the Study:
- To investigate the possibility of an early semantic priming shift.
- To explore the dynamics of this early shift concerning association strength and stimulus-onset asynchronies (SOAs).
- To model the neural basis of the early semantic priming shift.
Main Methods:
- Conducted three multiple priming experiments manipulating association strength and short stimulus-onset asynchronies (SOAs).
- Utilized a network model of spike frequency adaptive cortical neurons to simulate neural processes.
- The model encoded varying association strengths between primes and targets.
Main Results:
- Observed an early semantic priming shift.
- The shift ranged from priming associates of only the first prime to priming strong associates of the first prime and all associates of the second prime.
- The network model explained the early priming shift dynamics via proactive and retroactive interference.
Conclusions:
- Demonstrated an early semantic priming shift, occurring earlier than previously documented.
- The findings highlight the role of association strength and stimulus-onset asynchronies (SOAs) in semantic processing.
- A neural network model successfully described the underlying neural mechanisms of proactive and retroactive interference in this process.
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