Browse by Goldsmiths authors: Garagnani, M.
Number of items: 51.
Simulating the point of no return in human volitional action in a brain-constrained model of sensory and motor areas. (2025)
Noble, Felix; Griffin, Nick and Garagnani, M.
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Spontaneous emergence of slow ramping prior to decision states in a brain-constrained model of fronto-temporal cortical areas. (2025)
Griffin, Nick; Schurger, Aaron and Garagnani, M.
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Concept superposition and learning in standard and brain-constrained deep neural networks. (2025)
Garagnani, M.
On the ability of standard and brain-constrained deep neural networks to support cognitive superposition: a position paper. (2024)
Garagnani, M.
Distributed representations of prediction error signals across the cortical hierarchy are synergistic. (2024)
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
Breakdown of category-specific word representations in a brain-constrained neurocomputational model of semantic dementia. (2023)
Shtyrov, Y.; Efremov, A.; Kuptsova, A.; Wennekers, T.; Gutkin, B. and Garagnani, M.
Using information theory to measure the emergence of artificial free will in a spiking brain-constrained model of the human cortex. (2023)
Bourne, Josh; Rosas, Fernando, E. and Garagnani, M.
A brain-constrained deep neural-network model that can account for the readiness potential in self-initiated volitional action. (2023)
Ušacka, A.; Schurger, A. and Garagnani, M.
Influence of language on perception and concept formation in a brain-constrained deep neural network model. (2023)
Henningsen-Schomers, Malte R.; Garagnani, M. and Pulvermüller, Friedemann
Standard feedforward neural networks with backprop cannot support cognitive superposition. (2022)
Vanegdom, A.; Nikolaev, Nikolay and Garagnani, M.
Influence of language on concept formation and perception in a brain-constrained deep neural network model. (2022)
Henningsen-Schomers, M.; Garagnani, M. and Pulvermüller, F.
Reconciling forgetting and memory consolidation: simulating the dissociable effects of neuronal noise levels on cortical memory traces. (2021)
Garagnani, M. and Lucchese, G.
Semantic grounding of novel spoken words in the primary visual cortex. (2021)
Garagnani, M.; Kirilina, E. and Pulvermüller, F
Action-perception circuits for word learning and semantic grounding. (2020)
Garagnani, M.
Perception-action circuits for word learning and semantic grounding: a neurocomputational model and neuroimaging study. (2020)
Garagnani, M.; Kirilina, E. and Pulvermüller, F.
Influence of verbal labels on concept formation and perception in a deep unsupervised neural network model. (2020)
Henningsen-Schomers, M.; Garagnani, M. and Pulvermüller, F.
Visual cortex recruitment during language processing in blind individuals is explained by Hebbian learning. (2019)
Tomasello, R.; Wennekers, T.; Garagnani, M. and Pulvermüller, F.
Recruitment of visual cortex for language processing in blind individuals: A neurobiological model. (2019)
Tomasello, R.; Wennekers, T.; Garagnani, M. and Pulvermüller, F.
A neurobiologically constrained cortex model of semantic grounding with spiking neurons and brain-like connectivity. (2018)
Tomasello, R.; Garagnani, M.; Wennekers, T. and Pulvermüller, F.
Simulating word learning and high-frequency brain responses to linguistic items in a neurobiologically realistic model of the cortex. (2017)
Garagnani, M.
Brain connections of words, perceptions and actions: A neurobiological model of spatio-temporal semantic activation in the human cortex. (2017)
Tomasello, R.; Garagnani, M.; Wennekers, T. and Pulvermüller, F.
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Neurocomputational Consequences of Evolutionary Connectivity Changes in Perisylvian Language Cortex. (2017)
Schomers, M.R.; Garagnani, M. and Pulvermüller, F.
Semantic grounding in a neurobiologically-constrained cortex-model with realistic connectivity and spiking neurons. (2017)
Tomasello, Rosario; Garagnani, M.; Wennekers, Thomas and Pulvermüller, Friedemann
A Spiking Neurocomputational Model of High-Frequency Oscillatory Brain Responses to Words and Pseudowords. (2017)
Garagnani, M.; Lucchese, G.; Tomasello, R.; Wennekers, T. and Pulvermüller, F.
Conceptual grounding of language in action and perception: a neurocomputational model of the emergence of category specificity and semantic hubs. (2016)
Garagnani, M. and Pulvermüller, F.
Word acquisition and semantic grounding in a neuroanatomically realistic, Hebbian-learning, spiking neural network model of the cortex. (2016)
Garagnani, M.
Highway to (verbal) memory: Neurocomputational consequences of specifically human connectivity in perisylvian cortex. (2015)
Schomers, M.R.; Garagnani, M. and Pulvermüller, F.
Learning Visual-Motor Cell Assemblies for the iCub Robot using a Neuroanatomically Grounded Neural Network. (2015)
Adams, S.V.; Wennekers, T.; Cangelosi, A.; Garagnani, M. and Pulvermüller, F.
Thinking in circuits: toward neurobiological explanation in cognitive neuroscience. (2014)
Pulvermüller, F.; Garagnani, M. and Wennekers, T.
From sensorimotor learning to memory cells in prefrontal and temporal association cortex: A neurocomputational study of disembodiment. (2014)
Pulvermüller, F. and Garagnani, M.
Electrophysiological and haemodynamic biomarkers of rapid acquisition of novel wordforms. (2014)
Shtyrov, Y.; Kimppa, L. and Garagnani, M.
Auditory processing and sensory behaviours in children with autism
spectrum disorders as revealed by mismatch negativity. (2014)
Ludlow, A.; Mohr, B.; Whitmore, A.; Garagnani, M.; Pulvermüller, F. and Gutierrez, R.
Neuronal correlates of decisions to speak and act: Spontaneous emergence and dynamic topographies in a computational model of frontal and temporal areas. (2013)
Garagnani, M. and Pulvermüller, F.
Effects of sleep and number of repetitions on novel spoken word learning: fMRI evidence. (2012)
Garagnani, M.; Shtyrov, Y. and Davis, M.
Investigating cognitive representations with brain-like networks and MEG/EEG. (2011)
Garagnani, M. and Pulvermüller, Friedemann
From sounds to words: A neurocomputational model of adaptation, inhibition and memory processes in auditory change detection. (2011)
Garagnani, M. and Pulvermüller, F.
Effects of attention on what is known and what is not: MEG evidence for functionally discrete memory circuits. (2009)
Garagnani, M.; Shtyrov, Y. and Pulvermüller, F.
MMN reflections of language and attention: a neurocomputational model. (2009)
Garagnani, M.; Wennekers, Thomas and Pulvermüller, Friedemann
Explaining Attention and Language interactions: magnetic MMN validation of neurocomputational predictions. (2009)
Garagnani, M.; Shtyrov, Yury and Pulvermüller, Friedemann
Recruitment and Consolidation of Cell Assemblies for Words by Way of Hebbian Learning and Competition in a Multi-Layer Neural Network. (2009)
Garagnani, M.; Wennekers, T. and Pulvermüller, F.
A neuroanatomically grounded Hebbian-learning model of attention–language interactions in the human brain. (2008)
Garagnani, M.; Wennekers, T. and Pulvermüller, F.
Explaining the effects of attention on lexical processes using a single Hebbian neuronal model of the language cortex. (2007)
Garagnani, M.; Wennekers, Thomas and Pulvermüller, Friedemann
A neuronal model of the language cortex. (2006)
Garagnani, M.; Wennekers, Thomas and Pulvermüller, Friedemann
Language models based on Hebbian cell assemblies. (2006)
Wennekers, Thomas; Garagnani, M. and Pulvermüller, Friedemann
A Diagrammatic Inter-Lingua for Planning Domain Descriptions. (2005)
Garagnani, M.
A Framework for Hybrid Planning. (2005)
Garagnani, M.
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A Framework for Hybrid and Analogical Planning. (2005)
Garagnani, M.
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Model-based Planning in Physical domains using SetGraphs. (2004)
Garagnani, M.
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A Connectionist model of Planning via Back-chaining Search. (2002)
Garagnani, M.; Shastri, Lokendra and Wendelken, Carter
A Correct Algorithm for Efficient Planning with Preprocessed Domain Axioms. (2001)
Garagnani, M.
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Persuasion as a form of inter-agent negotiation. (1997)
Reed, C.; Long, D.; Fox, M. and Garagnani, M.