Networks in Cognitive Science

@article{Baronchelli2013NetworksIC,
  title={Networks in Cognitive Science},
  author={Andrea Baronchelli and Ramon Ferrer-i-Cancho and Romualdo Pastor-Satorras and Nick Chater and Morten H. Christiansen},
  journal={Trends in Cognitive Sciences},
  year={2013},
  volume={17},
  pages={348-360}
}
Editors' Introduction to Networks of the Mind: How Can Network Science Elucidate Our Understanding of Cognition?
TLDR
This topic is a collection of papers that discuss the fruitfulness of applying network science to study cognition across a wide scope of research areas from generalist accounts of memory and encoding, to individual differences, to communities, and finally to cultural and individual change.
Biological Relevance of Network Architecture.
TLDR
A way to start categorizing diseases according to their brain network pathologies as these are measured by graph theory is suggested, and the link with the human connectome project is discussed as an effort to integrate human data that may aid the study of emergent patterns.
Large-Scale Network Representations of Semantics in the Mental Lexicon
TLDR
This work proposes to represent the mental lexicon as a network consisting of nodes that correspond to words and links reflecting associative relations between two nodes, based on free association data.
How semantic memory structure and intelligence contribute to creative thought: a network science approach
ABSTRACT The associative theory of creativity states that creativity is associated with differences in the structure of semantic memory, whereas the executive theory of creativity emphasises the role
Homological scaffolds of brain functional networks
TLDR
The results show that the homological structure of the brain's functional patterns undergoes a dramatic change post-psilocybin, characterized by the appearance of many transient structures of low stability and of a small number of persistent ones that are not observed in the case of placebo.
Investigating Creativity from a Semantic Network Perspective
TLDR
A series of semantic network studies aimed at investigating different facets of creativity in low- and high-creative individuals and demonstrate how the role of semantic memory in creativity can be investigated via quantitative measures of connectivity, distance, and structure of semantic networks.
The Grammar Network
TLDR
This innovative study presents a dynamic network model of grammar in which all aspects of linguistic structure, including core concepts of syntax, are analyzed in terms of associative connections between different types of linguistic elements.
Language Networks as Models of Cognition: Understanding Cognition through Language
TLDR
This paper focuses on the interplay of cognition and language as captured by a network representation, and reviews different types of language network representations before considering the influence of global level network features.
A Model of the Transition to Behavioral and Cognitive Modernity using Reflexively Autocatalytic Networks
TLDR
A model of the cognitive mechanisms underlying the transition to behavioral and cognitive modernity in the Upper Paleolithic using autocatalytic networks is proposed, paving the way for a broad scientific framework for the origins of both biological and cultural evolutionary processes.
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