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Where Artificial Intelligence and Neuroscience Meet: The Search for Grounded Architectures of Cognition.

. Adv. Artif. Intell., (2010)

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Modelling language development and evolution with the benefit of hindsight.. Connect. Sci., 17 (3-4): 361-379 (2005)Using a recurrent network to bind form, color and position into a unified percept., and . Neurocomputing, (2001)Computation, Cognition, and Neural Networks.. SNN Symposium on Neural Networks, page 99-102. Springer, (1995)A Neural Model of Binding and Capacity in Visual Working Memory., , and . ICANN, volume 2714 of Lecture Notes in Computer Science, page 771-778. Springer, (2003)A Neural Model of Compositional Sentence Structures.. AAAI Technical Report (3), FS-04-03, page 72-75. AAAI Press, (2004)The Chatbot Usability Scale: the Design and Pilot of a Usability Scale for Interaction with AI-Based Conversational Agents., , , , , , and . Pers. Ubiquitous Comput., 26 (1): 95-119 (2022)A neural architecture for grounded cognition: Representation, structure, dynamics and learning., and . IJCNN, page 961-968. IEEE, (2008)Implementation of multilayer perceptron networks by populations of spiking neurons using rate coding., and . Neurocomputing, (2002)Development of a connection matrix for productive grounded cognition., and . ICDL-EPIROB, page 1-6. IEEE, (2011)Combinatorial Structures and Processing in Neural Blackboard Architectures., and . CoCo@NIPS, volume 1583 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)