Publications and communications of Jacques Sougné

Read, J., Delhaye, E., & Sougné, J. (2023). Computational models can distinguish the contribution from different mechanisms to familiarity recognition. Hippocampus. doi:10.1002/hipo.23588

Read, J., & Sougné, J. (August 2023). Modeling familiarity through the combination of deep learning and Hebbian training. Brain and Cognition, 170, 106050. doi:10.1016/j.bandc.2023.106050

Read, J., Delhaye, E., & Sougné, J. (2023). Computational models can distinguish the contribution from different mechanisms to familiarity recognition. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/305719. doi:10.31234/osf.io/k5xfs

Read, J., & Sougné, J. (17 March 2023). Modeling familiarity through the combination of Deep Learning and Hebbian training [Poster presentation]. 3rd edition of the Recollection, Familiarity, and Novelty Conference, Liège, Belgium. doi:10.17605/OSF.IO/NVXUA

Nyssen, A.-S., GILLET, A., Sougné, J., Bidee, J., Gérimont, C., Pepermans, R., & Hansez, I. (2018). Do Management and Executive Share the same Perception on the critical Issues Facing the Frontline Nursing Staff ? International Journal of Healthcare Management, 1-4. doi:10.1080/20479700.2017.1353786

Sougné, J. (2006). Binding Problem. In L. Nadel, Encyclopedia of Cognitive Science. New-York, United States: John Wiley & Sons.

Sougné, J. (2003). Binding Problem. In L. Nadel (Ed.), Encyclopedia of Cognitive Science (pp. 374-382). London, United Kingdom: Nature Publishing Group.

Sougné, J. (2002). Short Term Memory in a Network of Spiking Neurons. In J. A. Bullinaria & W. Lowe (Eds.), Connectionist Models of Cognition and Perception (pp. 131-142). Singapore, Malaysia: World Scientific Press.

French, R., & Sougné, J. (Eds.). (2001). Connectionist models of learning, development and evolution : Proceedings of the sixth neural computation and psychology workshop, Liège, Belgium, 16-18 september 2000. London, United Kingdom: Springer.

Sougné, J. (2001). Binding and multiple instantiation in a distributed network of spiking nodes. Connection Science, 13 (2), 99-126. doi:10.1080/09540090110063507

Sougné, J. (2001). A learning algorithm for synfire chains. In R. French & J. Sougné (Eds.), Connectionist models of learning : Development and Evolution (pp. 23-32). London, United Kingdom: Springer.

Sougné, J., & French, R. (2001). Synfire chains and catastrophic interference. In J. D. Moore & K. Stenning (Eds.), Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society (pp. 970-975). Mahwah, United States - New Jersey: Lawrence Erlbaum.

Sougné, J., & French, R. (2001). Learning and forgetting in a network of spiking neurons. In Proceedings of annual meeting of the Belgian Psychological Society (pp. 45). Louvain-la-Neuve, Belgium: Université Catholique de Louvain.

Sougné, J. (2000). Simulating conditional reasoning containing negations : A computer model and human data. In L. R. Gleitman & A. K. Joshi (Eds.), Proceedings of the Twenty-second Annual Conference of the Cognitive Science Society (pp. 918-923). Mahwah, United States - New Jersey: Lawrence Erbaum Ass.

Sougné, J. (2000). On the psychological plausibility of binding by synchrony. Consciousness and Cognition, 9 (2), 83-S84.

Sougné, J. (1999). INFERNET : A neurocomputational model of binding and inference [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/13845

Blank, D. S., Coltheart, M., Diederich, J., Garner, B. M., Gayler, R., Giles, C. L., Goldfarb, L., Hadeishi, M., Hazlehurst, B., Healy, M. J., Henderson, J., Jani, N. G., Levine, D. S., Lucas, S., Plate, T., Reeke, G., Roth, D., Shastri, L., Sougné, J., ... Thompson, B. B. (1999). Connectionist symbol processing : dead or alive ? Neural Computing Surveys, 2, 1-40.

Defays, D., French, R., & Sougné, J. (1999). Apport de l'intelligence artificielle à la psychologie. In J.-A. Rondal (Ed.), Introduction à la psychologie scientifique (pp. 379-415). Bruxelles, Belgium: Labor.

Sougné, J. (1999). INFERNET : un modèle connexioniste du raisonnement et de la mémoire. Liège, Belgium: ULg - Université de Liège.

Sougné, J. (1999). INFERNET Simulator Reference. Liège, Belgium: ULg - Université de Liège.

Sougné, J. (1998). Reasoning with negated conditionals in a connectionist model. In Proceedings of Annual Meeting of the Belgian Psychological Society (pp. 32). Leuven, Belgium: KULeuven.

Sougné, J. (1998). Period doubling as a means of representing multiply instantiated entities. In M. A. Gernsbacher & S. J. Derry (Eds.), Proceedings of the Twentieth Annual Conference of the Cognitive Science Society (pp. 1007-1012). Mahwah, United States - New Jersey: Lawrence Erlbaum Associates.

Sougné, J. (1998). Mac Time Tabling : un programme de gestion d'horaires académiques. Liège, Belgium: ULg - Université de Liège.

Sougné, J. (1998). INFERNET : a model of variable binding though temporal synchrony. Liège, Belgium: ULg - Université de Liège. https://orbi.uliege.be/handle/2268/227297

Sougné, J. (1998). Connectionism and the problem of multiple instantiation. Trends in Cognitive Sciences, 2 (5), 183-189. doi:10.1016/S1364-6613(98)01170-X

Sougné, J. (1998). Connectionism and the problem of multiple instantiation. In Proceedings of Annual Meeting of the Belgian Psychological Society (pp. 25). Leuven, Belgium: KULeuven.

Sougné, J. (1997). Variable Oscillation Frequencies for Solving the Problem of Multiple Instantiation. In Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society. Mahwah, United States - New Jersey: Lawrence Erbaum Ass.

Sougné, J., & French, R. M. (1997). A Neurobiologically Inspired Model of Working Memory Based on Neuronal Synchrony and Rythmicity. In J. A. Bullinaria, D. W. Glasspool, ... G. Houghton (Eds.), Proceedings of the Fourth Neural Computation and Psychology Workshop: Connectionist Representations (pp. 155-167). London, United Kingdom: Springer.

Sougné, J. (1996). Le raisonnement temporel. In J. M. Cellier, Gestion du temps dans les environnements dynamiques (pp. 68-90). Paris, France: P.U.F.

Sougné, J. (1996). A connectionist model of reflective reasoning using temporal properties of none firing. In Cottrell (Ed.), Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (pp. 666-671). Mahwah, United States - New Jersey: Lawrence Erlbaum Associates.

Sougné, J. (1996). A connectionist model of reflective reasoning using temporal properties of node firing. In Proceedings of the Annual Meetingof the Belgian Psychological Society (pp. 40). Brussels, Belgium: Vrije Universiteit Brussel.

Sougné, J., & Cottrell, G. W. (Ed.). (1996). A connectionist model of reflective reasoning using temporal properties of nodes firing. In Proceedings of the Eighteenth Annual conference of the Cognitive Science Society (pp. 666-671). Lawrence Erbaum Ass.

Sougné, J., & Chmiedewski, J. (1995). Effects of the categorical coverage on conditional reasoning. In Proceedings of Annual Meeting of the Belgian Psychological Society (pp. 22). Louvain-la-Neuve, Belgium: Université Catholique de Louvain.

Sougné, J. (1993). What is temporal reasoning ? Liège, Belgium: Université de Liège, Faculté de Psychologie et des Sciences de l'Education, Belgique. https://orbi.uliege.be/handle/2268/227294

Sougné, J. (1993). Reasoning involved in control technology. In B. Denis, Control technology in elementary education (pp. 27-41). Heidelberg, Germany: Springer Verlag.

Sougné, J. (1993). Modelling Physics Problem Solving with Classifier Systems. In M. Caillot, Learning electricity or electronics with advanced educational technology (pp. 303-329). Heidelberg, Germany: Springer Verlag.

Sougné, J. (1993). Les raisonnements temporels en robotique pédagogique : deux stratégies cognitives de synchronisation. In Regards sur la robotique pédagogique : actes du Quatrième Colloque International sur la Robotique Pédagogique (pp. 85-93). Paris, France: Institut National de la Recherche Pédagogique.

Sougné, J., Nyssen, A.-S., & De Keyser, V. (1993). TEMPORAL REASONING AND REASONING THEORIES A CASE-STUDY IN ANESTHESIOLOGY. Psychologica Belgica, 33 (2), 311-328.

Sougné, J., Nyssen, A.-S., & De Keyser, V. (1993). Temporal reasoning and reasoning theories : a case study in anaesthesiology. Psychologica Belgica, 33 (2), 311-328. doi:10.5334/PB.856

Sougné, J. (1992). The Hydraulic Classifier System : un système classificateur à règles prédictives modélisant la résolution de problèmes en hydrodynamique. Liège, Belgium: Université de Liège, convention SPPS intelligence artificielle.

Sougné, J. (1992). Analisis de proyectos de robotica pedagogica a traves del LOGO Scan. In Robotica pedagogica : memoria de la tercera conferencia international (pp. 425-444). Mexico, Mexico: Universidad Nacional Autonoma de Mexico.

Denis, B., & Sougné, J. (1990). Robotique pédagogique : rapport d'activité. Liège, Belgium: STE-ULg. https://orbi.uliege.be/handle/2268/15214

Denis, B., & Sougné, J. (1990). Projet Robotique Itinérante : rapport final. Service de Technologie de l'Education. Direction Générale de l'Enseignement et de la Formation. https://orbi.uliege.be/handle/2268/11767

Sougné, J. (1990). LOGO-Scan : a tool kit to analyse LOGO programs. In Proceedings of the Seventh International Conference on Technology and Education (pp. 313-315). Edinburgh, United Kingdom: CEP.

Denis, B., & Sougné, J. (1988). Manuel LOGO illustré : version pour Thompson. Liège, Belgium: Service de Technologie de l'Education de l'ULg.

Giovannini, M. L., Denis, B., & Sougné, J. (1988). Projet pilote Légo LOGO : rapport d'activité. (Université de Liège et université degli studi di Bologna). CCE Fast. https://orbi.uliege.be/handle/2268/11272

Denis, B., & Sougné, J. (1987). Manuel LOGO illustré : version pour Macintosch.

Sougné, J. (1987). Projets LOGO : conception et expérimentation d'outils informatiques pour analyser des programmes LOGO [Master’s dissertation, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/227288