Garagnani, M.. 2024. On the ability of standard and brain-constrained deep neural networks to support cognitive superposition: a position paper. Cognitive Neurodynamics, 18, pp. 3383-3400. ISSN 1871-4080 [Article]

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 [Article]

Shtyrov, Y.; Efremov, A.; Kuptsova, A.; Wennekers, T.; Gutkin, B. and Garagnani, M.. 2023. Breakdown of category-specific word representations in a brain-constrained neurocomputational model of semantic dementia. Scientific Reports, 13, 19572. ISSN 2045-2322 [Article]

Henningsen-Schomers, Malte R.; Garagnani, M. and Pulvermüller, Friedemann. 2023. Influence of language on perception and concept formation in a brain-constrained deep neural network model. Philosophical Transactions of the Royal Society B: Biological Sciences, 378(1870), 20210373. ISSN 0962-8436 [Article]

Garagnani, M.; Kirilina, E. and Pulvermüller, F. 2021. Semantic grounding of novel spoken words in the primary visual cortex. Frontiers in Human Neuroscience, 15, 581847. ISSN 1662-5161 [Article]

Tomasello, R.; Wennekers, T.; Garagnani, M. and Pulvermüller, F.. 2019. Visual cortex recruitment during language processing in blind individuals is explained by Hebbian learning. Scientific Reports, 9, 3579. ISSN 2045-2322 [Article]

Tomasello, R.; Garagnani, M.; Wennekers, T. and Pulvermüller, F.. 2018. A neurobiologically constrained cortex model of semantic grounding with spiking neurons and brain-like connectivity. Frontiers in Computational Neuroscience, 12(88), [Article]

Tomasello, R.; Garagnani, M.; Wennekers, T. and Pulvermüller, F.. 2017. Brain connections of words, perceptions and actions: A neurobiological model of spatio-temporal semantic activation in the human cortex. Neuropsychologia, 98, pp. 111-129. ISSN 0028-3932 [Article]

Schomers, M.R.; Garagnani, M. and Pulvermüller, F.. 2017. Neurocomputational Consequences of Evolutionary Connectivity Changes in Perisylvian Language Cortex. The Journal of Neuroscience, 37(11), pp. 3045-3055. ISSN 0270-6474 [Article]

Garagnani, M.; Lucchese, G.; Tomasello, R.; Wennekers, T. and Pulvermüller, F.. 2017. A Spiking Neurocomputational Model of High-Frequency Oscillatory Brain Responses to Words and Pseudowords. Frontiers in Computational Neuroscience, 10, 145. ISSN 1662-5188 [Article]

Garagnani, M. and Pulvermüller, F.. 2016. Conceptual grounding of language in action and perception: a neurocomputational model of the emergence of category specificity and semantic hubs. European Journal of Neuroscience, 43(6), pp. 721-737. ISSN 0953-816X [Article]

Pulvermüller, F.; Garagnani, M. and Wennekers, T.. 2014. Thinking in circuits: toward neurobiological explanation in cognitive neuroscience. Biological Cybernetics, 108(5), pp. 573-593. ISSN 0340-1200 [Article]

Pulvermüller, F. and Garagnani, M.. 2014. From sensorimotor learning to memory cells in prefrontal and temporal association cortex: A neurocomputational study of disembodiment. Cortex, 57, pp. 1-21. ISSN 0010-9452 [Article]

Ludlow, A.; Mohr, B.; Whitmore, A.; Garagnani, M.; Pulvermüller, F. and Gutierrez, R.. 2014. Auditory processing and sensory behaviours in children with autism spectrum disorders as revealed by mismatch negativity. Brain and Cognition, 86, pp. 55-63. ISSN 0278-2626 [Article]

Garagnani, M. and Pulvermüller, F.. 2013. Neuronal correlates of decisions to speak and act: Spontaneous emergence and dynamic topographies in a computational model of frontal and temporal areas. Brain & Language, 127(1), pp. 75-85. ISSN 0093-934X [Article]

Garagnani, M. and Pulvermüller, Friedemann. 2011. Investigating cognitive representations with brain-like networks and MEG/EEG. Clinical Neurophysiology, 122, S12. ISSN 1388-2457 [Article]

Garagnani, M. and Pulvermüller, F.. 2011. From sounds to words: A neurocomputational model of adaptation, inhibition and memory processes in auditory change detection. Neuroimage, 54(1), pp. 170-181. ISSN 1053-8119 [Article]

Garagnani, M.; Shtyrov, Y. and Pulvermüller, F.. 2009. Effects of attention on what is known and what is not: MEG evidence for functionally discrete memory circuits. Frontiers in Human Neuroscience, [Article]

Garagnani, M.; Wennekers, T. and Pulvermüller, F.. 2009. Recruitment and Consolidation of Cell Assemblies for Words by Way of Hebbian Learning and Competition in a Multi-Layer Neural Network. Cognitive Computation, 1(2), pp. 160-176. ISSN 1866-9956 [Article]

Garagnani, M.; Wennekers, T. and Pulvermüller, F.. 2008. A neuroanatomically grounded Hebbian-learning model of attention–language interactions in the human brain. European Journal of Neuroscience, 27(2), pp. 492-513. ISSN 0953-816X [Article]

Garagnani, M.; Wennekers, Thomas and Pulvermüller, Friedemann. 2007. Explaining the effects of attention on lexical processes using a single Hebbian neuronal model of the language cortex. Neural Plasticity, 2007, pp. 66-67. ISSN 2090-5904 [Article]

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 [Article]

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 [Article]

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 [Book Section]

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 [Book Section]

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 [Book Section]

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 [Book Section]

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 [Book Section]

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 [Book Section]

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 [Book Section]

Noble, Felix; Griffin, Nick and Garagnani, M.. 2025. 'Simulating the point of no return in human volitional action in a brain-constrained model of sensory and motor areas.'. In: 34th Annual Computational Neuroscience Meeting (CNS*2025). Florence, Italy 5-9 July 2025. [Conference or Workshop Item] (Forthcoming)

Griffin, Nick; Schurger, Aaron and Garagnani, M.. 2025. 'Spontaneous emergence of slow ramping prior to decision states in a brain-constrained model of fronto-temporal cortical areas'. In: 34th Annual Computational Neuroscience Meeting (CNS*2025). Florence, Italy 5-9 July 2025. [Conference or Workshop Item] (Forthcoming)

Garagnani, M.. 2025. 'Concept superposition and learning in standard and brain-constrained deep neural networks'. In: 34th Annual Computational Neuroscience Meeting (CNS 2025), Workshop on "Brains and AI". Florence, Italy 9 July 2025. [Conference or Workshop Item] (Forthcoming)

Bourne, Josh; Rosas, Fernando, E. and Garagnani, M.. 2023. 'Using information theory to measure the emergence of artificial free will in a spiking brain-constrained model of the human cortex'. In: 32nd Annual Computational Neuroscience Meeting. Leipzig, Germany 15 - 19 July 2023. [Conference or Workshop Item]

Ušacka, A.; Schurger, A. and Garagnani, M.. 2023. 'A brain-constrained deep neural-network model that can account for the readiness potential in self-initiated volitional action'. In: 32nd Annual Computational Neuroscience Meeting. Leipzig, Germany 15 - 19 July 2023. [Conference or Workshop Item]

Vanegdom, A.; Nikolaev, Nikolay and Garagnani, M.. 2022. 'Standard feedforward neural networks with backprop cannot support cognitive superposition'. In: Bernstein Conference 2022. Berlin, Germany 13-16 September 2022. [Conference or Workshop Item]

Henningsen-Schomers, M.; Garagnani, M. and Pulvermüller, F.. 2022. 'Influence of language on concept formation and perception in a brain-constrained deep neural network model'. In: TABU Dag 2022. Groningen, Netherlands 9 - 22 June 2022. [Conference or Workshop Item]

Garagnani, M. and Lucchese, G.. 2021. 'Reconciling forgetting and memory consolidation: simulating the dissociable effects of neuronal noise levels on cortical memory traces.'. In: 30th Annual Computational Neuroscience Meeting (CNS-2021). Online 3 - 7 July 2021. [Conference or Workshop Item]

Garagnani, M.. 2020. 'Action-perception circuits for word learning and semantic grounding'. In: NAACL Workshop on Visually-Grounded Interaction and Language (ViGIL). Mexico City, Mexico 10 June 2021. [Conference or Workshop Item]

Henningsen-Schomers, M.; Garagnani, M. and Pulvermüller, F.. 2020. 'Influence of verbal labels on concept formation and perception in a deep unsupervised neural network model'. In: 14th International Conference of Cognitive Neuroscience (ICON 2022). Helsinki, Finland 18 - 22 May 2022. [Conference or Workshop Item] (Forthcoming)

Tomasello, R.; Wennekers, T.; Garagnani, M. and Pulvermüller, F.. 2019. 'Recruitment of visual cortex for language processing in blind individuals: A neurobiological model'. In: 2019 Annual meeting of the Cognitive Neuroscience Society (CNS 2019). San Francisco, United States 25 March 2019. [Conference or Workshop Item]

Garagnani, M.. 2017. 'Simulating word learning and high-frequency brain responses to linguistic items in a neurobiologically realistic model of the cortex'. In: 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL/EPIROB 2017) – 2nd Workshop on Language Learning. Lisbon, Portugal 18-21 September 2017. [Conference or Workshop Item]

Tomasello, Rosario; Garagnani, M.; Wennekers, Thomas and Pulvermüller, Friedemann. 2017. 'Semantic grounding in a neurobiologically-constrained cortex-model with realistic connectivity and spiking neurons'. In: 24th Annual Meeting of the Cognitive Neuroscience Society (CNS 2017). San Francisco, United States 25-28 March 2017. [Conference or Workshop Item]

Garagnani, M.. 2016. 'Word acquisition and semantic grounding in a neuroanatomically realistic, Hebbian-learning, spiking neural network model of the cortex'. In: Neuroinformatics 2016. Reading, United Kingdom 3-4 September 2016. [Conference or Workshop Item]

Schomers, M.R.; Garagnani, M. and Pulvermüller, F.. 2015. 'Highway to (verbal) memory: Neurocomputational consequences of specifically human connectivity in perisylvian cortex.'. In: 23rd Annual Meeting of the Cognitive Neuroscience Society (CNS 2016). New York, United States. [Conference or Workshop Item]

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. [Conference or Workshop Item]

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. [Conference or Workshop Item]

Garagnani, M.; Shtyrov, Y. and Davis, M.. 2012. 'Effects of sleep and number of repetitions on novel spoken word learning: fMRI evidence.'. In: 20th Annual Meeting of the Cognitive Neuroscience Society (CNS 2013). San Francisco, United States. [Conference or Workshop Item]

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. [Conference or Workshop Item]

Garagnani, M.; Shtyrov, Yury and Pulvermüller, Friedemann. 2009. 'Explaining Attention and Language interactions: magnetic MMN validation of neurocomputational predictions'. In: MMN 09 Fifth Conference on Mismatch Negativity (MMN) and its Clinical and Scientific Applications. Budapest, Hungary 4-7 April 2009. [Conference or Workshop Item]

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. [Conference or Workshop Item]