Adult Age Differences in Sensitivity to Semantic Satiation

Black, Sheila; Wood, Meagan M.; Choi, Jaimie; Jackson, Barbara-Shae; Evans, Teairra

doi:10.1080/0361073x.2022.2048585

Cited by 3 publications

(1 citation statement)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Iterative inscriptions or readings of “cat” yield an analogous outcome. The ceaseless recurrence of a single lexical unit or phrase can culminate in its ephemeral deprivation of semantic meaning, an intriguing psychological phenomenon referred to as “semantic satiation” 1 – 6 . It is imperative to note that these enigmatic encounters are not restricted solely to the domain of language but extend to encompass non-verbal entities that have been studied in both humans and animals with different experimental protocols and techniques 7 – 15 .…”

Section: Introductionmentioning

confidence: 99%

Revealing the mechanisms of semantic satiation with deep learning models

Zhang,

Lian,

et al. 2024

Commun Biol

View full text Add to dashboard Cite

The phenomenon of semantic satiation, which refers to the loss of meaning of a word or phrase after being repeated many times, is a well-known psychological phenomenon. However, the microscopic neural computational principles responsible for these mechanisms remain unknown. In this study, we use a deep learning model of continuous coupled neural networks to investigate the mechanism underlying semantic satiation and precisely describe this process with neuronal components. Our results suggest that, from a mesoscopic perspective, semantic satiation may be a bottom-up process. Unlike existing macroscopic psychological studies that suggest that semantic satiation is a top-down process, our simulations use a similar experimental paradigm as classical psychology experiments and observe similar results. Satiation of semantic objectives, similar to the learning process of our network model used for object recognition, relies on continuous learning and switching between objects. The underlying neural coupling strengthens or weakens satiation. Taken together, both neural and network mechanisms play a role in controlling semantic satiation.

show abstract