see webpage at Goldsmiths, University of London
Mail: m DOT garagnani AT gold DOT ac DOT uk
I hold a Ph.D. in Computational Cognitive Neuroscience (2008) from the University of Cambridge / MRC Cognition & Brain Sciences Unit (UK), a Ph.D. in Artificial Intelligence (1999) from the University of Durham (UK), and a "Laurea" Degree (BSc. + MSc.) in Computer Science from the University of Bologna (Italy).
I am a Visiting Scholar at the Free University of Berlin. Previous / ongoing research: the BABEL project.
Google Scholar h-index: 12
- neural networks, computational neuroscience;
- brain basis of language acquisition and processing;
- neuroanatomically and neurobiologically realistic models of the cortex;
- neurocomputational models of cognitive processes (in particular, language, attention, memory);
- neuroimaging as a tool (magnetoencephalography, MEG, functional Magnetic Resonance Imaging, fMRI);
- Garagnani, M. & Pulvermüller, F. 2016. Conceptual grounding in action and perception: a neurocomputational model of the emergence of category specificity and semantic hubs. European J. of Neuroscience, 43(6), 721-737.
- 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.
- Amanda Ludlow, Bettina Mohr, Antony Whitmore, Max Garagnani, Friedmann Pulvermüller, Roberto Gutierrez 2014. Auditory processing and sensory behaviours in children with autism spectrum disorders as revealed by mismatch negativity. Brain and Cognition, 86, 55-63.
- Pulvermüller, F., Garagnani, M., Wennekers, T. 2014. Thinking in circuits: toward neurobiological explanation in cognitive neuroscience. Biological Cybernetics, 108(5), 573-593.
- 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.
- 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.
- Garagnani, M., Shtyrov, Y., & Pulvermüller, F. 2009. Effects of attention on what is known and what is not: MEG evidence for discrete memory circuits. Front. Hum. Neurosci. 3, 10. doi:10.3389/neuro.09.010.2009
- 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.
- Garagnani, M., Wennekers, T. & Pulvermüller, F. 2008. A neuroanatomically-grounded Hebbian learning model of attention-language interactions in the human brain. Eur. J. Neurosci., 27(2), 492-513.
- Garagnani, M., Wennekers, T. & Pulvermüller, F. 2007. A neuronal model of the language cortex. Neurocomputing, 70(10-12), 1914-19.
- Wennekers, T., Garagnani, M. & Pulvermüller, F. 2006. Language models based on Hebbian cell assemblies. Journal of Physiology – Paris, 100(1-3), 16-30.