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Max Garagnani

Showing results (1-10 of 21) with videos related to

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Cognitive Neurodynamics|December 23, 2024
On the ability of standard and brain-constrained deep neural networks to support cognitive superposition: a position paperMax Garagnani
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|April 29, 2014
From sensorimotor learning to memory cells in prefrontal and temporal association cortex: a neurocomputational study of disembodimentFriedemann Pulvermüller, Max Garagnani
Neuroimage|August 24, 2010
From sounds to words: a neurocomputational model of adaptation, inhibition and memory processes in auditory change detectionMax Garagnani, Friedemann Pulvermüller
The European Journal of Neuroscience|December 15, 2015
Conceptual grounding of language in action and perception: a neurocomputational model of the emergence of category specificity and semantic hubsMax Garagnani, Friedemann Pulvermüller
Brain and Language|March 16, 2013
Neuronal correlates of decisions to speak and act: Spontaneous emergence and dynamic topographies in a computational model of frontal and temporal areasMax Garagnani, Friedemann Pulvermüller
The European Journal of Neuroscience|January 25, 2008
A neuroanatomically grounded Hebbian-learning model of attention-language interactions in the human brainMax Garagnani, Thomas Wennekers, Friedemann Pulvermüller
Biological Cybernetics|June 19, 2014
Thinking in circuits: toward neurobiological explanation in cognitive neuroscienceFriedemann Pulvermüller, Max Garagnani, Thomas Wennekers
Journal of Physiology, Paris|November 4, 2006
Language models based on Hebbian cell assembliesThomas Wennekers, Max Garagnani, Friedemann Pulvermüller
Frontiers in Human Neuroscience|August 15, 2009
Effects of attention on what is known and what is not: MEG evidence for functionally discrete memory circuitsMax Garagnani, Yury Shtyrov, Friedemann Pulvermüller
Cognitive Computation|April 17, 2010
Recruitment and Consolidation of Cell Assemblies for Words by Way of Hebbian Learning and Competition in a Multi-Layer Neural NetworkMax Garagnani, Thomas Wennekers, Friedemann Pulvermüller
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Cognitive Neurodynamics|December 23, 2024
On the ability of standard and brain-constrained deep neural networks to support cognitive superposition: a position paperMax Garagnani
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|April 29, 2014
From sensorimotor learning to memory cells in prefrontal and temporal association cortex: a neurocomputational study of disembodimentFriedemann Pulvermüller, Max Garagnani
Neuroimage|August 24, 2010
From sounds to words: a neurocomputational model of adaptation, inhibition and memory processes in auditory change detectionMax Garagnani, Friedemann Pulvermüller
The European Journal of Neuroscience|December 15, 2015
Conceptual grounding of language in action and perception: a neurocomputational model of the emergence of category specificity and semantic hubsMax Garagnani, Friedemann Pulvermüller
Brain and Language|March 16, 2013
Neuronal correlates of decisions to speak and act: Spontaneous emergence and dynamic topographies in a computational model of frontal and temporal areasMax Garagnani, Friedemann Pulvermüller
The European Journal of Neuroscience|January 25, 2008
A neuroanatomically grounded Hebbian-learning model of attention-language interactions in the human brainMax Garagnani, Thomas Wennekers, Friedemann Pulvermüller
Biological Cybernetics|June 19, 2014
Thinking in circuits: toward neurobiological explanation in cognitive neuroscienceFriedemann Pulvermüller, Max Garagnani, Thomas Wennekers
Journal of Physiology, Paris|November 4, 2006
Language models based on Hebbian cell assembliesThomas Wennekers, Max Garagnani, Friedemann Pulvermüller
Frontiers in Human Neuroscience|August 15, 2009
Effects of attention on what is known and what is not: MEG evidence for functionally discrete memory circuitsMax Garagnani, Yury Shtyrov, Friedemann Pulvermüller
Cognitive Computation|April 17, 2010
Recruitment and Consolidation of Cell Assemblies for Words by Way of Hebbian Learning and Competition in a Multi-Layer Neural NetworkMax Garagnani, Thomas Wennekers, Friedemann Pulvermüller
Pageof 3