The Neuroscience of Language: On Brain Circuits of Words and Serial Order

By Friedemann Pulvermüller. 2003

372 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5edd215edb69dc49ed20cf90adcd32ee1140a46d

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Citations in the corpus

Somatotopic representation of action words in human motor and premotor cortex. (2004, unknown): “and Pulvermuller, 2001, 2003).”
Mirror Neurons, Embodied Simulation, and the Neural Basis of Social Identification (2009, background): “Furthermore, the premotor cortex containing the MNS is involved in processing action-related words and sentences ( Buccino et al, 2005 ; Hauk, Johnsrude, & Pulvermuller, 2004 ; Tettamanti et al, 2005 ; see also Pulvermuller, 2002 ), suggesting—as it will become clearer in the final part of this p”
Memory Capacities for Synaptic and Structural Plasticity (2010, background): “Associative networks are closely related to Hebbian cell assemblies and play an important role in neuroscience as models of neural computation for various brain structures, for example, neocortex, hippocampus, cerebellum, and mushroom body (Hebb, 1949; Braitenberg, 1978; Palm, 1982; Fransen & Lansne”
Neural Associative Memory with Optimal Bayesian Learning (2011, background): “Moreover, neural implementations of associative memory are closely related to Hebbian cell assemblies and play an important role in neuroscience as models of neural computation for various brain structures, for example, neocortex, hippocampus, cerebellum, mushroom body (Hebb, 1949; Braitenberg, 1978”
Listening to action-related sentences modulates the activity of the motor system: a combined TMS and behavioral study. (2005, background): “An alternative hypothesis assumes that the understanding of language relies on bembodimentQ [3,16,20,25,33,38].”
Developmental dyslexia in adults : a research review (2004, unknown): “This insight into the competitive nature of the computational process in reading, where many prospective candidates may need to be considered before a word is finally identified (Pulvermüller, 2003), suggests that the central difficulty in dyslexia could be conceptualised as a difficulty in resolvin”
Neural syntax: cell assemblies, synapsembles and readers (2010, unknown): “…proven notoriously difficult (Gerstein et al., 1989; Grossberg, 1969; Ikegaya et al., 2004; Lansner, 2009; Neuron 68, November 4, 2010 ª2010 Elsevier Inc. Milner, 1957, 1996; Palm, 1982, 1987; Pouget et al., 2000; Pulvermüller, 2003; Singer, 1999; Wallace and Kerr, 2010; Wennekers et al., 2003).”
Does Spike-Timing-Dependent Synaptic Plasticity Couple or Decouple Neurons Firing in Synchrony? (2012, background): “, 1999), which suggests a constructive rather than destructive role of spike synchronization for memory (Jutras and Buffalo, 2010; Fell and Axmacher, 2011) and the formation of Hebbian cell assemblies (Hebb, 1949; Braitenberg, 1978; Palm, 1982; Knoblauch and Palm, 2002a; Pulvermüller, 2003; Lansner,”
Listening to Action-related Sentences Activates Fronto-parietal Motor Circuits (2005, background): “An alternative hypothesis suggests that understanding words semantically related to actions depends upon the motor structures involved in the execution of the very same actions (Pulvermueller, 2002; Lakoff & Johnson, 1999).”
AT THE INTERFACE: DYNAMIC INTERACTIONS OF EXPLICIT AND IMPLICIT LANGUAGE KNOWLEDGE (2005, background): “…cell assemblies representing—among others— the phonological forms of words and constructions and their sensory and motor groundings ~Barsalou, 1999; Pulvermüller, 1999, 2003!+ How might consciousness be involved in the setting up of these networks, and how might explicit, metalinguistic,…”
Gestures Enhance Foreign Language Learning (2012, background): “From a neurobiological perspective, a word can be described as a network linking cell assemblies that code and process linguistic, sensory, motor (Pulvermüller 1996, 2001, 2002) and emotional (Vigliocco et al. 2009) features.”
The variation of Zipf’s law in human language (2005, background): “Different types of experiments have shown that words are associated to the activation of different brain areas [45].”
Efficient Associative Computation with Discrete Synapses (2016, background): “Moreover, neural implementations of associative memory are closely related to Hebbian cell assemblies and play an important role in neuroscience as models of neural computation for various brain structures, for example neocortex, hippocampus, cerebellum, mushroom body (Hebb, 1949; Braitenberg, 1978;”