Browse by Goldsmiths authors: Garagnani, M.
Number of items: 51.
2024
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
2023
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
2017
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.
2014
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.
2009
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.
