Dr Max Garagnani

Book Section

• 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

Article

• On the ability of standard and brain-constrained deep neural networks to support cognitive superposition: a position paper 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
• 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
• Breakdown of category-specific word representations in a brain-constrained neurocomputational model of semantic dementia 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

Conference or Workshop Item

• Spontaneous emergence of slow ramping prior to decision states in a brain-constrained model of fronto-temporal cortical areas Griffin, Nick; Schurger, Aaron and Garagnani, M.. 2026. '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.
• Simulating the point of no return in human volitional action in a brain-constrained model of sensory and motor areas. Noble, Felix; Griffin, Nick and Garagnani, M.. 2026. '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.
• Concept superposition and learning in standard and brain-constrained deep neural networks 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.