Max Garagnani
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Max Garagnanicomputer-science Degrees
Computer Science
#10788
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#11361
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Computational Linguistics
#3271
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#3315
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Artificial Intelligence
#6037
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#6130
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Machine Learning
#6071
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#6173
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Computer Science
Max Garagnani's Degrees
- Bachelors Computer Science University of Oxford
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Why Is Max Garagnani Influential?
(Suggest an Edit or Addition)According to Wikipedia, Massimiliano Garagnani is a University Professor at the University of London, and is primarily known for his work on bio-realistic neural network models that closely mimic the structure, connectivity, and physiology of the human cortex. Garagnani presently runs the Goldsmiths Computational Cognitive Neuroscience Postgraduate Programme at the University of London, and further serves as a visiting researcher at the Free University of Berlin.
Max Garagnani's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A neuroanatomically grounded Hebbian-learning model of attention–language interactions in the human brain (2008) (121)
- Language models based on Hebbian cell assemblies (2006) (83)
- Brain connections of words, perceptions and actions: A neurobiological model of spatio-temporal semantic activation in the human cortex (2017) (77)
- Thinking in circuits: toward neurobiological explanation in cognitive neuroscience (2014) (69)
- Conceptual grounding of language in action and perception: a neurocomputational model of the emergence of category specificity and semantic hubs (2016) (66)
- Effects of Attention on what is known and what is not: MEG Evidence for Functionally Discrete Memory Circuits (2008) (64)
- Auditory processing and sensory behaviours in children with autism spectrum disorders as revealed by mismatch negativity (2014) (58)
- Recruitment and Consolidation of Cell Assemblies for Words by Way of Hebbian Learning and Competition in a Multi-Layer Neural Network (2009) (55)
- From sensorimotor learning to memory cells in prefrontal and temporal association cortex: A neurocomputational study of disembodiment (2014) (51)
- A neuronal model of the language cortex (2007) (41)
- Neurocomputational Consequences of Evolutionary Connectivity Changes in Perisylvian Language Cortex (2017) (41)
- From sounds to words: A neurocomputational model of adaptation, inhibition and memory processes in auditory change detection (2011) (39)
- Neuronal correlates of decisions to speak and act: Spontaneous emergence and dynamic topographies in a computational model of frontal and temporal areas (2013) (31)
- A Neurobiologically Constrained Cortex Model of Semantic Grounding With Spiking Neurons and Brain-Like Connectivity (2018) (28)
- Persuasion as a Form of Inter-Agent Negotiation (1996) (26)
- A Spiking Neurocomputational Model of High-Frequency Oscillatory Brain Responses to Words and Pseudowords (2017) (23)
- Visual cortex recruitment during language processing in blind individuals is explained by Hebbian learning (2019) (21)
- Model-based Planning in Physical domains using SetGraphs (2003) (7)
- A Connectionist model of Planning via Back-chaining Search (2019) (7)
- Model-Based Planning for Object-Rearrangement Problems (2003) (6)
- Pre-processing planning domains containing Language Axioms (2011) (5)
- Learning visual-motor Cell Assemblies for the iCub robot using a neuroanatomically grounded neural network (2014) (4)
- A Framework for Hybrid and Analogical Planning (2005) (2)
- Erratum to “From sounds to words: A neurocomputational model of adaptation, inhibition and memory processes in auditory change detection” [NeuroImage 54/1 (2011) 170–181] (2011) (1)
- A Framework for Hybrid Planning (2004) (1)
- Influence of language on perception and concept formation in a brain-constrained deep neural network model (2022) (1)
- A Sound Linear Algorithm for Pre-processing planning problems with Language Axioms (1999) (1)
- A Diagrammatic Inter-Lingua for Planning Domain Descriptions (2005) (0)
- S4.4 Investigating cognitive representations with brain-like networks and MEG/EEG (2011) (0)
- A Diagrammatic Meta-Language for Planning Domain Descriptions (2019) (0)
- Recruitment of visual cortex for language processing in blind individuals: A neurobiological model (2019) (0)
- Planning with Analogical and Hybrid Representations * (2003) (0)
- Electrophysiological and haemodynamic biomarkers of rapid acquisition of novel wordforms (2015) (0)
- Effects of sleep and number of repetitions on novel spoken word learning: fMRI evidence. (2012) (0)
- Semantic grounding in a neurobiologically-constrained cortex-model with realistic connectivity and spiking neurons (2017) (0)
- Explaining Attention and Language interactions: magnetic MMN validation of neurocomputational predictions (2009) (0)
- Semantic Grounding of Novel Spoken Words in the Primary Visual Cortex (2021) (0)
- Perception-action circuits for word learning and semantic grounding: a neurocomputational model and neuroimaging study (2020) (0)
- Word acquisition and semantic grounding in a neuroanatomically realistic, Hebbian-learning, spiking neural network model of the cortex (2016) (0)
- Simulating word learning and high-frequency brain responses to linguistic items in a neurobiologically realistic model of the cortex (2017) (0)
- Thinking in circuits: toward neurobiological explanation in cognitive neuroscience (2014) (0)
- Highway to (verbal) memory: Neurocomputational consequences of specifically human connectivity in perisylvian cortex. (2015) (0)
- MMN reflections of language and attention: a neurocomputational model (2009) (0)
- Visual cortex recruitment during language processing in blind individuals is explained by Hebbian learning (2019) (0)
- Influence of verbal labels on concept formation and perception in a deep unsupervised neural network model (2020) (0)
- Simulating semantic dementia in a brain-constrained model of action and object words learning (2022) (0)
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What Schools Are Affiliated With Max Garagnani?
Max Garagnani is affiliated with the following schools: