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Massimiliano Garagnani

Associate Professor

Department of Philosophy

Academic discipline: INFO-01/A Informatics

Publications

JOURNAL ARTICLES:

  1. Griffin, N., Mattera, A., Baldassarre, G., & Garagnani, M. (in press) From spontaneous ignitions to sensorimotor cell assemblies via dopamine: a spiking neurocomputational model of infants’ hand-action acquisition. Brain Sciences.

  2. Gelens, F., Äijälä, J., Roberts, L., ..., Garagnani, M., Vinck, M., & Canales-Johnson, A. (2024) Distributed representations of prediction error signals across the cortical hierarchy are synergistic. Nature Communications 15(1):3941 DOI: 10.1038/s41467-024-48329-7

  3. Garagnani, M. (2024) On the ability of standard and brain-constrained deep neural networks to support cognitive superposition: a position paper. Cognitive Neurodynamics. DOI:10.1007/s11571-023-10061-1

  4. Shtyrov, Y., Efremov, A., Kuptsova, A., Wennekers, T., Gutkin, B., & Garagnani, M. (2023) Breakdown of category-specific word representations in a brain-constrained neurocomputational model of semantic dementia. Scientific Reports 13:19572. DOI: 10.1038/s41598-023-41922-8

  5. Henningsen-Schomers, M.R., Garagnani, M., & Pulvermüller, F. (2023). Influence of language on perception and concept formation in a brain-constrained deep neural network model. Philosophical Transactions of the Royal Society B 378: 20210373. DOI: 10.1098/rstb.2021.0373.

  6. Garagnani, M., Kirilina, E., & Pulvermüller, F. (2021) Semantic grounding of novel spoken words in the primary visual cortex. Frontiers in Human Neuroscience 15: 581847. DOI: 10.3389/fnhum.2021.581847

  7. Tomasello, R., Wennekers, T., Garagnani, M., & Pulvermüller, F. (2019) Visual cortex recruitment during language processing in blind individuals is explained by Hebbian learning. Scientific Reports 9:3579 (16 pages). DOI: 10.1038/s41598-019-39864-1

  8. Tomasello, R., Garagnani, M., Wennekers, T. & Pulvermüller, F. (2018) A neurobiologically constrained cortex model of semantic grounding with spiking neurons and brain-like connectivity. Frontiers in Computational Neuroscience 12:88 (17 pages). DOI: 10.3389/fncom.2018.00088

  9. Schomers, M., Garagnani, M., & Pulvermüller, F. (2017) Neurocomputational consequences of evolutionary connectivity changes in perisylvian language cortex. Journal of Neuroscience 37(11):3045– 3055. DOI: https://doi.org/10.1523/JNEUROSCI.2693-16.2017

  10. Garagnani, M., Lucchese, G., Tomasello, R., Wennekers, T. & Pulvermüller, F. (2017) A Spiking Neurocomputational Model of High-Frequency Oscillatory Brain Responses to Words and Pseudowords. Frontiers in Computational Neuroscience 10:145 (19 pages). DOI: 10.3389/fncom.2016.00145

  11. Tomasello, R., Garagnani, M., Wennekers, T. & Pulvermüller, F. (2017) Brain connections of words, perceptions and actions: A neurobiological model of spatio-temporal semantic activation in the human cortex. Neuropsychologia 98:111–129. DOI: 10.1016/j.neuropsychologia.2016.07.00

  12. Garagnani, M. & Pulvermüller, F. (2016) Conceptual grounding in action and perception: a neurocomputational model of the emergence of category specificity and semantic hubs. European Journal of Neuroscience 43(6):721–737. DOI:10.1111/ejn.13145

  13. Pulvermüller, F., Garagnani, M., Wennekers, T. (2014) Thinking in circuits: toward neurobiological explanation in cognitive neuroscience. Biological Cybernetics 108(5):573–593. ISSN: 0340-1200. DOI: 10.1007/s00422-014-0603-9

  14. Pulvermüller, F. & Garagnani, M. (2014) From sensorimotor learning to memory cells in prefrontal and anterior-temporal cortex: A neurocomputational study of disembodiment. Cortex 57:1–21. DOI: 10.1016/j.cortex.2014.02.015

  15. Ludlow, A., Mohr, B., Whitmore, A., Garagnani, M., Pulvermüller, F. & Gutierrez, R. (2014) Auditory processing and sensory behaviours in children with autism spectrum disorders as revealed by the mismatch negativity. Brain and Cognition 86(2014):55–63. DOI: 10.1016/j.bandc.2014.01.016

  16. Garagnani, M. & 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 and Language 127(1):75–85. DOI: 10.1016/j.bandl.2013.02.001

  17. Garagnani, M. & Pulvermüller, F. (2011) From Sounds to Words: a neurocomputational model of adaptation, inhibition and memory processes in auditory change detection. Neuroimage 54(1):170-181. DOI: 10.1016/j.neuroimage.2010.08.031

  18. Garagnani, M., Shtyrov, Y., & Pulvermüller, F. (2009) Effects of attention on what is known and what is not: MEG evidence for discrete memory circuits. Frontiers in Human Neuroscience 3:10 (12 pages). DOI:10.3389/neuro.09.010.2009

  19. Garagnani, M., Wennekers, T. & 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):160–176. DOI: 10.1007/s12559-009-9011-1

  20. Garagnani, M., Wennekers, T. & Pulvermüller, F. (2008) A neuroanatomically-grounded Hebbian learning model of attention-language interactions in the human brain. European Journal of Neuroscience 27(2):492–513. DOI: 10.1111/j.1460-9568.2008.06015.x

  21. Garagnani, M., Wennekers, T. & Pulvermüller, F. (2007) A neuronal model of the language cortex. Neurocomputing 70(10-12):1914–19. DOI: 10.1016/j.neucom.2006.10.076

  22. Wennekers, T., Garagnani, M. & Pulvermüller, F. (2006) Language models based on Hebbian cell assemblies. Journal of Physiology – Paris 100(1-3):16–30. DOI: 10.1016/j.jphysparis.2006.09.007


CONFERENCE PROCEEDINGS (PEER REVIEWED)

  1. Garagnani, M., Kirilina, E., & Pulvermüller, F. (2020) Perception-action circuits for word learning and semantic grounding: a neurocomputational model and neuroimaging study. In Raposo, M., Ribeiro, P., Sério, S., Staiano, A., & Ciaramella, A. (Eds.) Computational Intelligence Methods for Bioinformatics and Biostatistics: 15th Int.’al Meeting (CIBB 2018), Caparica, Portugal, Sep. 2018 – Revised Selected Papers, Lecture Notes in Bioinformatics, vol. 11925, Cham, Switzerland: Springer International. ISBN 978-3-030-34584-6. DOI: 10.1007/978-3-030-34585-3.

  2. Shtyrov, Y., Kimppa, L. & Garagnani, M. (2015) Electrophysiological and haemodynamic biomarkers of rapid acquisition of novel wordforms. Symposium on Microstructures of Learning, Lund (Sweden), May 2014, pp. 21-24. Frontiers in Neuroscience, 7. DOI: 10.3389/conf.fnins.2015.88.00007.

  3. Adams, S.V., Wennekers, T., Cangelosi, A., Garagnani, M. & Pulvermüller, F. (2014) Learning Visual-Motor Cell Assemblies for the iCub Robot using a Neuroanatomically grounded Neural Network. IEEE Symposium Series on Computational Intelligence, Cognitive Algorithms, Mind and Brain (SSCI-CCMB 2014), Orlando, FL, 9-12 December 2014, pp. 1-8. DOI: 10.1109/CCMB.2014.7020687.

  4. Garagnani, M. (2004) A Framework for Hybrid Planning. In Bramer, M., Coenen, F. & Allen, T. (eds.) Proc. 24th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (SGAI-2004), Cambridge, Dec. 2004. Research and Development in Intelligent Systems XXI, Springer, London, pp. 214-227. DOI: 10.1007/1-84628-102-4.

  5. Garagnani, M. (2003) Model-based planning in physical domains using SetGraphs. In Coenen, F., Preece, A. & Macintosh, A. (eds.), Proc. 23rd SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (SGAI-2003), Cambridge, Dec. 2003. Research and Development in Intelligent Systems XX, Springer, London, pp. 295-308. DOI: 10.1007/978-0-85729-412-8_22. ISBN: 978-1-85233-780-3.

  6. Garagnani, M. & Ding, Y. (2003) Model-based Planning for Object-Rearrangement Problems. Proc. of 13th International Conf. on Automated Planning & Scheduling (ICAPS 03) – Workshop on PDDL, Trento (IT), June 2003, pp. 49-58. ISSN 07384602.

  7. Davidson, M. & Garagnani, M. (2002) Pre-processing planning domains containing Language Axioms. In Grant, T., & Witteveen, C. (eds.) Proc. of 21st Workshop of the UK Planning and Scheduling SIG (PLANSIG 02), Delft (NL), Nov. 2002, pp. 23-34. ISSN 1368-5708.

  8. Garagnani, M., Shastri, L. & Wendelken, C. (2002) A connectionist model of planning as back-chaining search. In Gray, W. & Schunn, C. (eds.) Proc. of 24th Annual Meeting of the Cognitive Science Society (CogSci 2002), Fairfax, VA. Mahwah (NJ): Lawrence Erlbaum, pp. 345-350. DOI: 10.4324/9781315782379-96. (Extended version: In Levine, J. (ed.) Proc. of 20th Workshop of the UK Planning & Scheduling SIG – PLANSIG 2001, Edinburgh, Dec. 2001. ISSN 1368-5708).

  9. Garagnani, M. (2001) A correct algorithm for efficient planning with preprocessed domain axioms. In Bramer M., Preece A. & Coenen F. (eds.) Proc. 20th SGAI Int.’al Conf. on Knowledge Based Systems and Applied AI (ES-2000), Cambridge, Dec. 2000. Research and Development in Intelligent Systems XVII, Springer, London, pp. 363-374. DOI: 10.1007/978-1-4471-0269-4_26.

  10. Garagnani, M. (2000) Speaker-hearer beliefs for discourse planning. In Arabnia, H.R. (Ed.), Proc. of the International Conference on Artificial Intelligence (IC-AI 2000), Vol. II, Las Vegas, NV, 26-29 June 2000. CSREA Press, Athens, GA (USA), pp. 1009-15. ISBN: 1-892512-57-2.

  11. Garagnani, M. (1999a) A Sound Linear Algorithm for Preprocessing planning problems with language axioms. In Petley, G., Coddington, A. & Aylett, R. (eds.) Proc. of the 18th Workshop of the UK Planning & Scheduling SIG (PLANSIG 99), Manchester, UK. pp. 40-53. ISSN 1368-5708.

  12. Garagnani, M. (1998b) Belief Systems and Plans for Communication. Proc. of the 15th International Congress on Cybernetics, Namur (BE), Aug. 1998, pp. 373-8. ISBN 2-87215-004-8.

  13. Garagnani, M., Fox, M. & Long, D.P. (1998) Belief Systems for Conflict Resolution. Proc. of 13th European Conference on AI (ECAI-98) - Workshop on Conflicts Among Agents, Brighton, Aug. 1998, pp. 55-60.

  14. Garagnani, M. (1997) Belief Modelling for Discourse Plans. In Fox, M. (ed.) Proc. of 16th Workshop of the UK Planning & Scheduling SIG (PlanSIG 97), Durham, Dec 1997, pp.55-67. ISSN 1368-5708.

  15. Reed, C.A., Long, D.P., Fox, M., & Garagnani, M. (1997) Persuasion as a form of inter-agent negotiation. In: Zhang C., Lukose D. (eds.) Multi-Agent Systems Methodologies and Applications (2nd Australian Workshop on Distributed AI, DAI 1996, Cairns, AU, August 1996), Selected Papers. Berlin: Springer, pp. 120-136. ISBN 978-3-540-63412-6. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence), vol. 1286. ISSN 0302-9743. DOI: 10.1007/BFb0030086.


BOOK CHAPTERS:

  1. Garagnani, M. (2005) A Diagrammatic Inter-Lingua for Planning Domain Descriptions. In Castillo, L., Borrajo, D., Salido, M.A. & Oddi, A. (eds.), Planning, Scheduling and Constraint Satisfaction. Frontiers in Artificial Intelligence and Applications, Vol. 117, pp.129-138. IOS Press. ISBN 978-1-58603-484-9.

  2. Garagnani, M. (2004) A Framework for Hybrid and Analogical Planning. In Vlahavas, I. & Vrakas, D. (Eds.) Intelligent Techniques for Planning, Chapt. II, pp. 35-89. Hershey (PA): IDEA Group. ISBN 9781591404507. DOI: 10.4018/9781591404507.ch002

 

INVITED CONFERENCE TALKS:

  1. Garagnani, M. (2025) Concept superposition and learning in standard and brain-constrained deep neural networks. 34th Annual Computational Neuroscience Meeting (CNS*2025), Workshop on Brains and AI, Florence, 5-9 July 2025.
  2. Garagnani, M. (2021) Action-perception circuits for word learning and semantic grounding. NAACL-21 Workshop on Visually-Grounded Interaction and Language (ViGIL), online, 10 June 2021
  3. Garagnani, M. (2017) Simulating word learning and high-frequency brain responses to linguistic items in a neurobiologically realistic model of the cortex. 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL/EPIROB 2017) – 2nd Workshop on Language Learning, Lisbon, 18-21 Sep 2017
  4. Garagnani, M. (2016a) Word acquisition and semantic grounding in a neuroanatomically realistic, Hebbian-learning, spiking neural network model of the cortex. Neuroinformatics 2016, Reading, Sep. 2016, p. 80. DOI: 10.3389/978-2-88919-953-2 (https://goo.gl/PW0rLm). ISBN: 978-2-88919-953-2
  5. Garagnani, M. (2016b) Conceptual grounding of language in action & perception: a neurocomputational model. MODELACT Conf. on Action, Language and Cognition, Rome, 6-7 June 2016
  6. Garagnani, M. & Pulvermüller, F. (2013) Simulating the cortical mechanisms of visually and action-related word learning in a neurocomputational model of fronto-temporal areas. Symposium on Embodied Language II, Christ’s College, Cambridge (UK), Aug. 2013
  7. Garagnani, M. (2011) Sensorimotor circuits for language, memory and action: a neuroanatomically grounded computational model. AAAI 2011 Conference – Workshop on Language-Action Tools for Cognitive Artificial Agents. San Francisco, CA, Aug. 2011
  8. Pulvermüller, F. & Garagnani, M. (2007) Towards a mechanistic theory of language grounded in perception-action circuits of the human brain. Int.’al Workshop on the Development of Unified representations in Natural and Artificial Systems, University of Salento / CRIL, Lecce (Italy), June 2007


OTHER CONFERENCE  CONTRIBUTIONS:

  1. Noble, F., Griffin, N., & Garagnani, M. (2025) Simulating the point of no return in human volitional action in a brain-constrained model of sensory and motor areas. 34th Annual Computational Neuroscience Meeting (CNS*2025), Florence, 5-9 July 2025 (P357). Poster
  2. Griffin, N., Schurger, A., & Garagnani, M. (2025) Spontaneous emergence of slow ramping prior to decision states in a brain-constrained model of fronto-temporal cortical areas. 34th Annual Computational Neuroscience Meeting (CNS*2025), Florence, 5-9 July 2025 (P102). Poster
  3. Bourne, J., Rosas, F., & Garagnani, M. (2023) Using information theory to measure the emergence of artificial free will in a spiking brain-constrained model of the human cortex. 32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, 15-19 July 2023 (P266). Poster
  4. Ušacka, A., Schurger, A., & Garagnani, M. (2023) A brain-constrained deep neural-network model that can account for the readiness potential in self-initiated volitional action. 32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, July 15-19 2023. Featured Talk
  5. Vanegdom A, Nikolaev N, & Garagnani, M. (2022) Standard feedforward neural networks with backprop cannot support cognitive superposition. Bernstein Conference 2022, Berlin, 13-16 Sep. 2022. Doi: 10.12751/nncn.bc2022.052. Poster
  6. Henningsen-Schomers, M., Garagnani, M., & Pulvermüller, F. (2022). Influence of language on concept formation and perception in a brain-constrained deep neural network model. 15th Biannual Conference of the German Society for Cognitive Science (KoWis 2022), Freiburg, 5-7 Sep. 2022. (ID: 119). Poster
  7. Henningsen-Schomers, M., Garagnani, M., & Pulvermüller, F. (2022). Influence of language on concept formation and perception in a brain-constrained deep neural network model. 42nd TABU Dag 2022, Groningen, NL, 9 - 22 June 2022. Talk
  8.  Garagnani, M., & Lucchese, G. (2021) Reconciling forgetting and memory consolidation: simulating the dissociable effects of neuronal noise levels on cortical memory traces. 30th Annual Computational Neuroscience Meeting (CNS*2021), online. Poster
  9. Tomasello, R., Wennekers, T., Garagnani, M. & Pulvermüller, F. (2019) Recruitment of visual cortex for language processing in blind individuals: A neurobiological model. 26th Annual Meeting of the Cog. Neurosci. Soc. (CNS 2019), San Francisco, 23-26 Mar 2019, p.68 (D67). ISSN 1096-8857. Poster
  10. Tomasello, R., Garagnani, M., Wennekers, T., & Pulvermüller, F. (2017) Semantic grounding in a neurobiologically-constrained cortex-model with realistic connectivity and spiking neurons. International Workshop on Brain Dynamics on Multiple Scales, Max-Planck Institute for the Physics of Complex Systems, Dresden, June 2017; and: 24th Annual Meeting of the Cognitive Neuroscience Society, San Francisco, 23-28 March 2017, p.122 (C75). ISSN 1096-8857. Poster
  11.  Garagnani, M., Kirilina, E. & Pulvermüller, F. (2016) Learning novel action- and object-related words – an fMRI study. 3rd International Conference of the European Society for Cognitive & Affective Neuroscience (ESCAN 2016) Porto, 23-26 June 2016. Poster
  12.  Garagnani, M., Lucchese, G., Tomasello, R., Wennekers, T., & Pulvermüller, F. (2016) Stable cell assembly formation and maintenance via spike-driven, non-homeostatic Hebbian synaptic plasticity. Royal Society Meeting on Integrating Hebbian and homeostatic plasticity, London, Apr. 2016. Poster
  13. Schomers, M.R., Garagnani, M. & Pulvermüller, F. (2016) Highway to (verbal) memory: Neurocomputational consequences of specifically human connectivity in perisylvian cortex. Cognitive Neurosci. Soc. Annual Meeting (CNS 2016), New York, Apr 2016, p. 126 (C69). ISSN 1096-8857. Poster
  14. Shtyrov, Y., Kimppa, L., Partanen, E., Garagnani, M. & Leminen, A. (2015) Cortical mechanisms for rapid lexicon acquisition: online neurophysiological measures. Society for the Neurobiology of Language Annual Meeting (SNL-2015), Chicago, Oct. 2015, p.24 (D22). Poster
  15.  Garagnani, M., Kirilina, E. & Pulvermüller, F. (2015) Learning novel action- and object-related words – an fMRI study. Society for the Neurobiology of Language Annual Meeting (SNL 2015), Chicago, IL, Oct. 2015, p.24 (D23). Poster
  16. Tomasello, R., Garagnani, M., & Pulvermüller, F. (2015) Category specificity, hubs, and time course of semantic brain activation: a neurocomputational model. Society for the Neurobiology of Language Annual Meeting (SNL 2015), Chicago, IL, Oct. 2015, p.16 (A22). Poster
  17. Tomasello, R., Garagnani, M., Wennekers, T. & Pulvermüller, F. (2015) Neurocomputational modelling of semantic grounding in the brain using graded response and spiking neurons. Bernstein Conference in Computational Neuroscience, Heidelberg, Germany, Sep. 2015, p. 175 (W49). Poster
  18. Garagnani, M. & Pulvermüller, F. (2014) Learning the meaning of words: a neurocomputational account of semantic category specificity and semantic hubs. Society for the Neurobiology of Language Annual Meeting (SNL 2014), Amsterdam, NL, Aug. 2014, p. 180 (D45). Poster
  19. Pulvermüller, F. & Garagnani, M. (2014) What you learn is what you get: Why inferior frontal cortex is involved in language understanding. Society for the Neurobiology of Language Annual Meeting (SNL 2014), Amsterdam, NL, Aug. 2014, p. 79 (B24). Poster
  20. Garagnani, M., Shtyrov, Y., & Davis, M. (2013) Effects of sleep and number of repetitions on novel spoken word learning: fMRI evidence. 20th Annual Meeting of the Cognitive Neuroscience Society (CNS 2013), San Francisco, Apr 2013, p. 136 (D72). ISSN 1096-8857. Poster
  21.  Garagnani, M., Pulvermüller, F. (2012) Explaining aphasia: a neuroanatomically motivated computational model of organic language deficits. 85th Congress of the German Society for Neurology (DGN), Hamburg, Sep. 2012. Talk
  22. Garagnani, M. & Pulvermüller, F. (2011a) A neuroanatomically grounded model of spontaneous word generation in the human brain. 3rd Neurobiology of Language Conference (NLC 2011), Annapolis, MD, Nov. 2011. Talk
  23. Garagnani, M. & Pulvermüller, F. (2011b) Investigating Cognitive Representations with brain-like networks and MEG/EEG. 14th European Congress on Clinical Neurophysiology and 4th Int. Conf. on Transcranial Magnetic Stimulation, Rome, June 2011. Clinical Neurophysiology 122(Suppl.1), p. S12 (S4.4). DOI: http://dx.doi.org/10.1016/S1388-2457(11)60037-0 . ISSN 1388-2457. Talk
  24. Garagnani, M. & Pulvermüller, F. (2011c) Disembodying memory: Why are memory cells typically found in prefrontal cortex? 18th Annual Meeting of the Cognitive Neuroscience Society (CNS 2011), S. Francisco, CA, Apr 2011, p. 160. ISSN 1096-8857. Poster
  25. Garagnani, M. & Pulvermüller, F. (2010) Short- and Long-Term Memory contributions to Auditory Change Detection: a neurocomputational model. 17th Annual Meeting of the Cognitive Neuroscience Society (CNS 2010), Montréal, April 2010, p. 123 (D23). ISSN 1096-8857. Poster
  26. Garagnani, M., Shtyrov, Y., Wennekers, T. & Pulvermüller, F. (2010) Language and Attention Interactions: integrating theory with MEG/EEG experiments. MEG UK Annual Conference, Cardiff (UK), Jan. 2010. Talk
  27. Mohr, B., Ludlow, A., Whitmore, A., Garagnani, M. & Pulvermüller, F. (2010) Reduced auditory mismatch negativity to loudness discrimination in children with autism spectrum disorders. 17th Cog. Neurosci. Soc. Annual Meeting (CNS 2010), Montréal, p. 64 (B14). ISSN 1096-8857. Poster
  28. Pulvermüller, F., Shebani, Z., Boulenger, V., Garagnani, M., Hauk, O., Shtyrov, Y. & Patterson, K. (2009) Somatotopic Motor Systems Are Critical For Category-Specific Semantic Processes. Neurobiology of Language Conference (NLC 2009), Chicago, Oct. 2009, p. 92. Poster
  29. Garagnani, M., Wennekers, T. & Pulvermüller, F. (2009b) MMN reflections of language and attention: a neurocomputational model. Conference Abstract: MMN 09 Fifth Conference on Mismatch Negativity (MMN) and its Clinical and Scientific Applications. Budapest, Hungary, Apr. 2009. Front. Hum. Neurosci. 3. DOI: 10.3389/conf.neuro.09.2009.05.041. ISSN: 1662-5161. Talk
  30. Garagnani, M., Shtyrov, Y., & Pulvermüller, F. (2009c) Explaining Attention and Language interactions: magnetic MMN validation of neurocomputational predictions. Conf. Abstract: MMN 09 Fifth Conference on Mismatch Negativity (MMN) and its Clinical and Scientific Applications. Budapest, Apr. 2009. Front. Hum. Neurosci. 3. DOI: 10.3389/conf.neuro.09.2009.05.133. Poster
  31. Garagnani, M., Shtyrov, Y., Wennekers, T. & Pulvermüller, F. (2008) Brain interactions of Language and Attention. 30th Annual Meeting of the Cognitive Science Society (CogSci 2008), Washington, D.C., July 2008, p. 2174. ISBN 978-0-9768318-4-6. Poster; and: Workshop on “Concepts, Actions and Objects: Functional and Neural Perspectives (CAOs)”, Center for Mind/Brain Sciences, Rovereto (Italy), Apr. 2008. Poster
  32. Garagnani, M., Shtyrov, Y., Kujala, T., Wennekers, T. & Pulvermüller, F. (2008) Neurocomputational and neurophysiological studies of brain interactions of language and attention. 14th Annual Conf. on Architectures and Mechanisms for Language Processing (AMLAP-08), Cambridge, Sep. 2008. Poster; and: Experimental Psychology Society, Cambridge Meeting, Cambridge, UK, April 2008, p.52. Talk.
  33. Pulvermüller, F. & Garagnani, M. (2008) Action-Perception Networks are Discrete: Evidence from Neuronal Network Simulations and Magnetoencephalography. 2nd meeting of the Federation of European Neuroscience Societis (FENS) - NESTCOM Workshop, Edinburgh, Sep. 2008. Talk
  34. Shtyrov, Y., Garagnani, M., Kujala, T., Wennekers, T. & Pulvermüller, F. (2007) Brain interactions of language and attention: MEG, EEG, fMRI and neurocomputational studies. Society for Neuroscience Annual Meeting, talk 864.4, San Diego, CA, Nov. 2007. Talk
  35. Garagnani, M. & Pulvermüller, F. (2007) Early and late brain reflections of what makes sense: attention effects in a neuronal model of the language cortex. 14th Annual Meeting of the Cognitive Neuroscience Society (CNS 2007), New York, May 2007, p. 87. ISSN 1096-8857. Poster
  36. Garagnani, M., Wennekers, T. & Pulvermüller, F. (2007) Explaining the effects of attention on lexical processes using a single Hebbian neuronal model of the language cortex. 39th Annual General Meeting of the European Brain & Behaviour Society, Trieste (Italy), Sep. 2007, Neural Plasticity, 2007; 2007:23250, p.66-67. ISSN: 2090-5904. DOI:10.1155/2007/23250. Poster
  37. Garagnani, M., Wennekers, T. & Pulvermüller, F. (2006) A neuronal model of the language cortex. 15th Annual Computational Neuroscience Meeting (CNS 2006), Edinburgh, UK, Jul. 2006, p. 51 (S93). Poster
  38. Garagnani, M. (2000b) Extending Graphplan to Domain Axiom Planning. In Garagnani, M. (ed.) Proc. of 19th Workshop of the UK Planning and Scheduling SIG (PLANSIG 2000), Milton Keynes, UK, Dec. 2000, pp. 275-276. ISSN 1368-5708. Abstract
  39. Garagnani, M. (1999b) Improving the efficiency of pre-processed domain-axiom planning. In Proc. of 18th Workshop of the UK Planning and Scheduling SIG (PLANSIG 99), Manchester, Dec. 1999, pp. 190-192. ISSN 1368-5708. Extended abstract
  40. Garagnani, M. (1998a) Converting Inference Rules into Conditional Effects. In McCluskey, L. & Kitchin, D. (eds.) Proc. of 17th Workshop of the UK Planning and Scheduling SIG (PLANSIG 98), Huddersfield, UK, pp. 203-205. ISSN 1368-5708 Extended Abstract

 

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