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Browse by Goldsmiths authors: Garagnani, M.

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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]

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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, [Article]

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Tomasello, R.; Garagnani, M.; Wennekers, T. and Pulvermüller, F.. 2016. Brain connections of words, perceptions and actions: A neurobiological model of spatio-temporal semantic activation in the human cortex. Neuropsychologia, ISSN 0028-3932 [Article] (In Press)

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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, pp. 721-732. ISSN 0953-816X [Article]

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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]

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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]

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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]

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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]

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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]

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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]

This list was generated on Tue Nov 21 03:52:35 2017 GMT.