Perception-action circuits for word learning and semantic grounding: a neurocomputational model and neuroimaging study Garagnani, M.; Kirilina, E. and Pulvermüller, F.. 2020. Perception-action circuits for word learning and semantic grounding: a neurocomputational model and neuroimaging study. In: Maria Raposo; Paulo Ribeiro; Susanna Sério; Antonino Staiano and Angelo Ciaramella, eds. Computational Intelligence Methods for Bioinformatics and Biostatistics: 15th International Meeting, CIBB 2018, Caparica, Portugal, September 6–8, 2018, Revised Selected Papers. Cham, Switzerland: Springer International Publishing. ISBN 9783030345846
A Diagrammatic Inter-Lingua for Planning Domain Descriptions Garagnani, M.. 2005. A Diagrammatic Inter-Lingua for Planning Domain Descriptions. In: Luis Castillo; Daniel Borrajo; Miguel A. Salido and Angelo Oddi, eds. Planning, Scheduling and Constraint Satisfaction: From Theory to Practice. 117 Amsterdam: IOS Press, pp. 129-138. ISBN 9781586034849
A Framework for Hybrid and Analogical Planning Garagnani, M.. 2005. A Framework for Hybrid and Analogical Planning. In: Ioannis Vlahavas and Dimitris Vrakas, eds. Intelligent Techniques for Planning. Hershey, Pennsylvania: Idea Group Publishing, pp. 35-89. ISBN 9781591404507
A Framework for Hybrid Planning Garagnani, M.. 2005. A Framework for Hybrid Planning. In: Max Bramer; Frans Coenen and Tony Allen, eds. Research and Development in Intelligent Systems XXI: Proceedings of AI-2004, the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. London: Springer, pp. 214-227. ISBN 9781852339074
Model-based Planning in Physical domains using SetGraphs Garagnani, M.. 2004. Model-based Planning in Physical domains using SetGraphs. In: Frans Coenen; Alun Preece and Ann L. Macintosh, eds. Research and Development in Intelligent Systems XX: Proceedings of AI2003, the Twenty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. London: Springer, pp. 295-308. ISBN 9781852337803
A Correct Algorithm for Efficient Planning with Preprocessed Domain Axioms Garagnani, M.. 2001. A Correct Algorithm for Efficient Planning with Preprocessed Domain Axioms. In: Max Bramer; Alun Preece and Frans Coenen, eds. Research and Development in Intelligent Systems XVII: Proceedings of ES2000, the Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2000. London: Springer, pp. 363-374. ISBN 9781852334031
Persuasion as a form of inter-agent negotiation Reed, C.; Long, D.; Fox, M. and Garagnani, M.. 1997. Persuasion as a form of inter-agent negotiation. In: Chengqi Zhang and Dickson Lukose, eds. Multi-Agent Systems Methodologies and Applications: Second Australian Workshop on Distributed Artificial Intelligence Cairns, QLD, Australia, August 27, 1996 Selected Papers. Berlin: Springer, pp. 120-136. ISBN 9783540634126
Distributed representations of prediction error signals across the cortical hierarchy are synergistic Gelens, Frank; Aijala, Julio; Roberts, Louis; Komatsu, Misako; Uran, Cem; Jensen, Michael A.; Miller, Kai J.; Ince, Robin A.A.; Garagnani, M.; Vinck, Martin and Canales-Johnson, Andres. 2024. Distributed representations of prediction error signals across the cortical hierarchy are synergistic. Nature Communications, 15, 3941. ISSN 2041-1723
A neuronal model of the language cortex Garagnani, M.; Wennekers, Thomas and Pulvermüller, Friedemann. 2006. A neuronal model of the language cortex. Neurocomputing, 70(10-12), pp. 1914-1919. ISSN 0925-2312
Language models based on Hebbian cell assemblies Wennekers, Thomas; Garagnani, M. and Pulvermüller, Friedemann. 2006. Language models based on Hebbian cell assemblies. Journal of Physiology-Paris, 100(1-3), pp. 16-30. ISSN 0928-4257
Learning Visual-Motor Cell Assemblies for the iCub Robot using a Neuroanatomically Grounded Neural Network Adams, S.V.; Wennekers, T.; Cangelosi, A.; Garagnani, M. and Pulvermüller, F.. 2015. 'Learning Visual-Motor Cell Assemblies for the iCub Robot using a Neuroanatomically Grounded Neural Network'. In: IEEE Symposium Series on Computational Intelligence, Cognitive Algorithms, Mind and Brain (SSCI-CCMB 2014). Orlando, United States 9-12 December 2014.
Electrophysiological and haemodynamic biomarkers of rapid acquisition of novel wordforms Shtyrov, Y.; Kimppa, L. and Garagnani, M.. 2014. 'Electrophysiological and haemodynamic biomarkers of rapid acquisition of novel wordforms'. In: Microstructures of Learning: Novel methods and approaches for assessing structural and functional changes underlying knowledge acquisition in the brain. Lund, Sweden 23 May, 2014.
MMN reflections of language and attention: a neurocomputational model Garagnani, M.; Wennekers, Thomas and Pulvermüller, Friedemann. 2009. 'MMN reflections of language and attention: a neurocomputational model'. In: MMN 09 Fifth Conference on Mismatch Negativity (MMN) and its Clinical and Scientific Applications. Budapest, Hungary 4-7 April 2009.
A Connectionist model of Planning via Back-chaining Search Garagnani, M.; Shastri, Lokendra and Wendelken, Carter. 2002. 'A Connectionist model of Planning via Back-chaining Search'. In: 24th Annual Meeting of the Cognitive Science Society (CogSci 2002). Fairfax, VA, United States 7-10 August 2002.
