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Network Science in Cognitive Psychology

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advanced cognitive network modeling applications
associative network dynamics
Bifurcation Diagram
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chaos theory modeling
cognitive neuroscience
Cognitive psychology
Complex systems
Computational psychology
Creativity
Cultural Heuristics
Cusp Catastrophe Model
Early Word Learning
Emotion
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experimental design
Functional brain networks
Human intelligence
Human memory
Input Variability
Language development
Language disorders
Larger Social Network
Lexical Prediction
Multilayer Networks
Network Neuroscience
Network Science
Networked Flow Model
Neuroimaging
neuroimaging methods
Neuropsychology
Newtork science
Power Law Degree Distribution
Preferential Acquisition
Problem solving
Rem Sleep
Semantic Fluency
Semantic memory
Semantic Memory Structure
Single Layer Networks
Small World Graph
Small World Structure
Social Brain Hypothesis
Social learning
social network analysis
Social Network Size
Symptom Network
Triadic Closure
Vice Versa
World Mental Health Survey Initiative

Product details

  • ISBN 9781138640177
  • Weight: 408g
  • Dimensions: 152 x 229mm
  • Publication Date: 03 Dec 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

This volume provides an integrative review of the emerging and increasing use of network science techniques in cognitive psychology, first developed in mathematics, computer science, sociology, and physics. The first resource on network science for cognitive psychologists in a growing international market, Vitevitch and a team of expert contributors provide a comprehensive and accessible overview of this cutting-edge topic.

This innovative guide draws on the three traditional pillars of cognitive psychological research–experimental, computational, and neuroscientific–and incorporates the latest findings from neuroimaging. The network perspective is applied to the fundamental domains of cognitive psychology including memory, language, problem-solving, and learning, as well as creativity and human intelligence, highlighting the insights to be gained through applying network science to a wide range of approaches and topics in cognitive psychology

Network Science in Cognitive Psychology will be essential reading for all upper-level cognitive psychology students, psychological researchers interested in using network science in their work, and network scientists interested in investigating questions related to cognition. It will also be useful for early career researchers and students in methodology and related courses.

About

Michael S. Vitevitch is Chair of the Department of Psychology at the University of Kansas.