Modeling and dynamical analysis of cortical network activity in semantic priming
Dejace, Caroline
Promoteur(s) :
Sacré, Pierre
Date de soutenance : 4-sep-2023/5-sep-2023 • URL permanente : http://hdl.handle.net/2268.2/18065
Détails
Titre : | Modeling and dynamical analysis of cortical network activity in semantic priming |
Titre traduit : | [fr] Modélisation et analyse dynamique de l'activité d'un réseau cortical dans l'amorçage sémantique |
Auteur : | Dejace, Caroline ![]() |
Date de soutenance : | 4-sep-2023/5-sep-2023 |
Promoteur(s) : | Sacré, Pierre ![]() |
Membre(s) du jury : | Drion, Guillaume ![]() Majerus, Steve ![]() Franci, Alessio |
Langue : | Anglais |
Nombre de pages : | 154 |
Mots-clés : | [en] semantic priming [en] network model [en] rate model [en] phase portrait [en] bifurcations [en] psychology experiments |
Discipline(s) : | Ingénierie, informatique & technologie > Ingénierie électrique & électronique Ingénierie, informatique & technologie > Sciences informatiques Ingénierie, informatique & technologie > Multidisciplinaire, généralités & autres Sciences sociales & comportementales, psychologie > Neurosciences & comportement |
Centre(s) de recherche : | PsyNCog |
Public cible : | Chercheurs Professionnels du domaine Etudiants Grand public Autre |
Institution(s) : | Université de Liège, Liège, Belgique |
Diplôme : | Master en ingénieur civil biomédical, à finalité spécialisée |
Faculté : | Mémoires de la Faculté des Sciences appliquées |
Résumé
[en] The semantic priming paradigm, involved in language comprehension, refers to the facilitated processing and retrieval of a word (known as target) following the previous processing of another semantically related word (known as prime). Literature on semantic priming reveals a vivid debate about the nature of priming: it can be associative (e.g. afraid-scared), semantic, that is “true relations of meanings”, (e.g. sheep-goat) or a combination of both (e.g. cat-dog). This debate impacts then how the semantic memory, coding words’ meaning, is modeled and how the priming is thought to occur.
Brunel and Lavigne (2009) designed a network model that studies semantic priming as a function of a set of parameters. In addition, they used an input-output relationship that is mathematically good-looking but rather difficult to manipulate numerically. This master thesis thus focuses on assessing whether using a more standard and a more numerically stable input-output relationship, such as a sigmoid function, would give a qualitatively similar dynamic behavior to the original model. Furthermore, the thesis investigates the parameter sensitivity. To these ends, the network model is simplified into a one-dimensional model and the dynamic behavior is investigated for both input-output relationships. The modified model is then tested with experimental-like stimuli to mimic real psychology experiments and to understand semantic memory functioning.
Dynamical analysis performed on the derived one-dimensional model reveals that the dynamic behavior remains qualitatively the same when using one or the other input-output
relationship. Results also suggest parameter sensitivity of the original model. The modified model with experimental-like stimuli suggests that the semantic memory system should be in a bistable regime to observe semantic priming. Activation of a word in semantic memory depends then on the amplitude and the duration of the stimulus. Extension to higher-order dimensions is also discussed.
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APA
Dejace, C. (2023). Modeling and dynamical analysis of cortical network activity in semantic priming. (Unpublished master's thesis). Université de Liège, Liège, Belgique. Retrieved from https://matheo.uliege.be/handle/2268.2/18065
Chicago
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