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Open AccessJournal ArticleDOI

Understanding brain networks and brain organization.

Luiz Pessoa
- 01 Sep 2014 - 
- Vol. 11, Iss: 3, pp 400-435
TLDR
It is argued that a network perspective should supplant the common strategy of understanding the brain in terms of individual regions and be viewed as panacea for a fuller characterization of the mind-brain.
About
This article is published in Physics of Life Reviews.The article was published on 2014-09-01 and is currently open access. It has received 306 citations till now. The article focuses on the topics: Brain mapping.

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Citations
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Neuropsychology Mental Structure

TL;DR: The authors consider specifically the neuropathological substrate on which are based the defective memory, ocular motor signs, the ataxia, the global confusional state and the occasional disturbance of olfactory and gustatory function and discuss the relationship between Wernicke's disease and Korsakoff's psychosis.
Journal ArticleDOI

Dynamic reconfiguration of frontal brain networks during executive cognition in humans.

TL;DR: The results characterize dynamic reconfiguration of large-scale distributed neural circuits during executive cognition in humans and have implications for understanding impaired cognitive function in disorders affecting connectivity, such as schizophrenia or dementia.
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Small-World Brain Networks Revisited.

TL;DR: It is highlighted by highlighting some possible future trends in the further development of weighted small-worldness as part of a deeper and broader understanding of the topology and the functional value of the strong and weak links between areas of mammalian cortex.
Journal ArticleDOI

Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience.

TL;DR: It is proposed that more consistent operationalization and study of cognitive flexibility is required in clinical and developmental neuroscience and an important avenue for future research is the characterization of the relationship between neural flexibility and cognitive flexibility in typical and atypical development.
References
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Journal ArticleDOI

A mathematical theory of communication

TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
Journal ArticleDOI

Collective dynamics of small-world networks

TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Journal ArticleDOI

Community structure in social and biological networks

TL;DR: This article proposes a method for detecting communities, built around the idea of using centrality indices to find community boundaries, and tests it on computer-generated and real-world graphs whose community structure is already known and finds that the method detects this known structure with high sensitivity and reliability.
Book

The Sciences of the Artificial

TL;DR: A new edition of Simon's classic work on artificial intelligence as mentioned in this paper adds a chapter that sorts out the current themes and tools for analyzing complexity and complex systems, taking into account important advances in cognitive psychology and the science of design while confirming and extending Simon's basic thesis that a physical symbol system has the necessary and sufficient means for intelligent action.
Book

Networks: An Introduction

Mark Newman
TL;DR: This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.
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