Publications and communications of Jacques Sougné

Legrand, R., Defays, D., Sougné, J., & Devue, C. (31 May 2024). Using Deep Convolutional Neural Networks to Model Face Learning [Poster presentation]. Annual Meeting of the Belgian Association for Psychological Sciences, Brussels, Belgium.

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

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.

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. (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

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

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). 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., & 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. (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.