Browse by Goldsmiths authors: Garagnani, M.

Number of items: 51.
Article
  • 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.
  • 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
  • Semantic grounding of novel spoken words in the primary visual cortex. (2021) Garagnani, M.; Kirilina, E. 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.
  • 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.
  • 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. picture_as_pdf
  • Neurocomputational Consequences of Evolutionary Connectivity Changes in Perisylvian Language Cortex. (2017) Schomers, M.R.; Garagnani, M. and Pulvermüller, F.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
    • Book Section
  • Perception-action circuits for word learning and semantic grounding: a neurocomputational model and neuroimaging study. (2020) Garagnani, M.; Kirilina, E. and Pulvermüller, F.
  • A Diagrammatic Inter-Lingua for Planning Domain Descriptions. (2005) Garagnani, M.
  • A Framework for Hybrid Planning. (2005) Garagnani, M. picture_as_pdf
  • A Framework for Hybrid and Analogical Planning. (2005) Garagnani, M. picture_as_pdf
  • Model-based Planning in Physical domains using SetGraphs. (2004) Garagnani, M. picture_as_pdf
  • A Correct Algorithm for Efficient Planning with Preprocessed Domain Axioms. (2001) Garagnani, M. picture_as_pdf
  • Persuasion as a form of inter-agent negotiation. (1997) Reed, C.; Long, D.; Fox, M. and Garagnani, M.
    • Conference or Workshop Item
  • 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. picture_as_pdf
  • 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. picture_as_pdf
  • Concept superposition and learning in standard and brain-constrained deep neural networks. (2025) 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.
  • 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.
  • Action-perception circuits for word learning and semantic grounding. (2020) Garagnani, M.
  • 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.
  • Recruitment of visual cortex for language processing in blind individuals: A neurobiological model. (2019) Tomasello, R.; Wennekers, T.; Garagnani, M. 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.
  • Semantic grounding in a neurobiologically-constrained cortex-model with realistic connectivity and spiking neurons. (2017) Tomasello, Rosario; Garagnani, M.; Wennekers, Thomas and Pulvermüller, Friedemann
  • 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.
  • Electrophysiological and haemodynamic biomarkers of rapid acquisition of novel wordforms. (2014) Shtyrov, Y.; Kimppa, L. and Garagnani, M.
  • Effects of sleep and number of repetitions on novel spoken word learning: fMRI evidence. (2012) Garagnani, M.; Shtyrov, Y. and Davis, M.
  • 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
  • A Connectionist model of Planning via Back-chaining Search. (2002) Garagnani, M.; Shastri, Lokendra and Wendelken, Carter