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The influence of social network size on speech perception
Social network individual differences speech perception
2018/3/5
Commentary: Broca Pars Triangularis Constitutes a “Hub” of the Language-Control Network during Simultaneous Language Translation
simultaneous interpreting language control pars triangularis supplementary motor area (SMA), individual differences
2018/3/5
A commentary on Broca Pars Triangularis Constitutes a “Hub” of the Language-Control Network during Simultaneous Language Translation by Elmer, S. (2016). Front. Hum. Neurosci. 10:491. doi: 10.3389/fnh...
How social network heterogeneity facilitates lexical access and lexical prediction
Social networks Variability Lexical access
2017/8/30
People learn language from their social environment. As individuals differ in their social networks, they might be exposed to input with different lexical distributions, and these might influence thei...
White and Grey Matter Changes in the Language Network during Healthy Aging
Grey Matter Changes Language Network
2015/12/21
Neural structures change with age but there is no consensus on the exact processes involved. This study tested the
hypothesis that white and grey matter in the language network changes during aging a...
How the Size of Our Social Network Influences Our Semantic Skills
Social network Semantic skills
2015/12/18
People differ in the size of their social network, and thus in the properties of the linguistic input they
receive. This article examines whether differences in social network size influence in...
A cortical network for semantics: (de)constructing the N400
A cortical network N400 response
2015/9/2
Measuring event-related potentials (ERPs) has been fundamental to our
understanding of how language is encoded in the brain. One particular ERP response, the
N400 response, has been especially inf...
Indonesian Innovations on Information Technology 2013:Between Syntactic and Semantic Textual Network
innovation semantic map corpus complex network computational linguistics
2015/7/10
Network and graph model is a good alternative to analyze huge collective textual data for the ability to reduce the dimensionality of the data. Texts can be seen as syntactic and semantic network amon...
A neural network model of learning mathematical equivalence
Cognitive development mathematical equivalence problem solving neural network model
2015/6/23
The typical structure of equations influences how we learn the meaning of the equal sign. Previous studies have shown that as students gain experience with addition problems, they actually perform wor...
Are Rules a Thing of the Past?:The Acquisition of Verbal Morphology by an Attractor Network
Thing of the Past Verbal Morphology Attractor Network
2015/6/19
This paper investigates the ability of a connectionist attractor network to learn a system analogous to part of the system of English verbal morphology. The model learned to produce phonological repre...
Generalization with Componential Attractors:Word and Nonword Reading in an Attractor Network
Generalization with Componential Attractors Word and Nonword Reading Attractor Network
2015/6/19
Networks that learn to make familiar activity patterns into stable attractors have proven useful in accounting for many aspects of normal and impaired cognition. However, their ability to generalize i...
Neural network models and cognitive neuropsychology
Neural network models cognitive neuropsychology
2015/6/19
Neural network models and cognitive neuropsychology.
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis
Social Network Structure Person-to-Person Sentiment Analysis
2015/6/15
Person-to-person evaluations are prevalent in all kinds of discourse and important for establishing reputations, building social bonds,and shaping public opinion. Such evaluations can be analyzed sepa...
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
Part-of-Speech Tagging Cyclic Dependency Network
2015/6/12
We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation, (ii) broad use of l...
White and Grey Matter Changes in the Language Network during Healthy Aging
White and Grey Matter Changes Language Network Healthy Aging
2015/5/13
Neural structures change with age but there is no consensus on the exact processes involved. This study tested the hypothesis that white and grey matter in the language network changes during aging ac...
Termination of ongoing spike-wave discharges investigated by cortico–thalamic network analyses
spike-wave discharges cortico–thalamic network analyses
2015/5/5
Purpose: While decades of research were devoted to study generation mechanisms of spontaneous spike and wave discharges (SWD), little attention has been paid to network mechanisms associated with the ...