Towards a network theory of cognition

By Anthony Randal McIntosh. Neural Networks, 2000

525 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/33b35a2d3bc49ecd811f8502adeabed2956e8c35

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

Citations in the corpus

Partial least squares analysis of neuroimaging data: applications and advances. (2004, background): “These latter examples provided strong evidence for the notion of Neural Context, where the functional relevance of a brain area to a particular cognitive function depends on the specific pattern of interregional communication (McIntosh, 2000, 2001, in press).”
Dynamic causal modelling: A critical review of the biophysical and statistical foundations (2011, background): “Three qualitatively different types of connectivity have been at the focus of attention (see e.g., Sporns 2007): (i) structural connectivity, (ii) functional connectivity and (iii) effective connectivity.”
Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty (2011, unknown): “…and connectivity (Beckmann and Smith, 2004; Calhoun et al., 2001, 2003); (Bullmore and Sporns, 2009; Cole et al., 2010; Deco et al., 2011; Friston et al., 1997; Greicius et al., 2003; McIntosh, 2000; Rubinov and Sporns, 2010; Sun et al., 2004; Supekar et al., 2008; Tononi and Sporns, 2003).”
Measuring information integration (2003, background): “Consistent with these theoretical considerations, perceptual, attentional, and executive functions carried out by the thalamocortical system rely on reentrant interactions [30], show context-dependency [30-32], call for global access [10,11], require that top down predictions are refined against inc”
Network-Level Structure-Function Relationships in Human Neocortex (2016, background): “Cognitive functions and complex behaviors are thought to emerge from the links and interactions among brain areas (McIntosh 2000).”
Functional connectivity of default mode network components: correlation, anticorrelation, and causality (2008, background): “The concept of neural context, the idea that the role of a brain region is determined by how it interacts with other regions, is particularly relevant here [McIntosh, 2000].”
Emerging concepts for the dynamical organization of resting-state activity in the brain (2010, unknown): “It has been proposed that the functional relevance of activity in one brain region is determined by co-activation of other brain regions 16,17 .”
Saliency, switching, attention and control: a network model of insula function (2010, unknown): “In this article, we take a systems neuroscience view that considers cognitive function to arise from the interactions of brain areas in large-scale distributed networks (Bressler 1995; Dosenbach et al. 2008; Goldman-Rakic 1995; McIntosh 2000; Mesulam 1998).”
Ten Simple Rules for Dynamic Causal Modelling (2009, unknown): “DCMwas developed for investigating these fast modulatory processes because they are critical for understanding the ubiquitous flexibility and contextsensitivity of neuronal circuits (Friston, 2002; McIntosh, 2000; Sherman and Guillery, 1998; Stephan, 2004).”
Intrinsic architecture underlying the relations among the default, dorsal attention, and frontoparietal control networks of the human brain (2012, unknown): “Differentiation of intrinsic networks has revealed specialized information processing modules, but dynamic patterns of regional co-activation and inter-network coupling are nonetheless necessary to support complex cognition (McIntosh, 2000).”
The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields (2008, methodology): “To capture the perceptual integration and segregation processes in the human brain, while accommodating contemporary brain theories [1,2,4], the authors of [126] proposed a tonotopically organized neural field for peripheral processing with projections to the higher areas that are responsible for co”
Limbic-frontal circuitry in major depression: a path modeling metanalysis (2004, methodology): “, 2000 ; McIntosh , 2000 ; McIntosh and Gonzalez - Lima , 1994 ; Nyberg et al .”
Focal Brain Lesions to Critical Locations Cause Widespread Disruption of the Modular Organization of the Brain (2012, unknown): “More broadly, this study adds to a growing literature proposing that function, or dysfunction, of individual brain regions cannot be considered in isolation but rather must be placed within the context of the brainʼs large-scale network organization (Sporns, 2010b; McIntosh, 2000; Mesulam, 1990).”
The Human Connectome: A Structural Description of the Human Brain (2005, background): “Emerging network theories of cognition emphasize the contextual [8], distributed [9], dynamic [10], and degenerate [11,12] nature of structure–function mappings in the brain.”
From cognitive to neural models of working memory (2007, background): “However, different brain regions within a functional network probably differ only in their degree of participation in a manner that is dependent on the context of the operation being actively performed (Fuster 1995, 2003; McIntosh 2000).”
Beyond hypofrontality: A quantitative meta‐analysis of functional neuroimaging studies of working memory in schizophrenia (2005, background): “Indeed, the functional relevance of a specific brain region may depend upon the patterns of interactions between that region and other areas within large-scale network that, in aggregate, subserve working memory [McIntosh, 2000].”
Dynamic causal modelling (2003, background): “…of the DCM that transform the state variables z i in each region (neuronal activity) into a measured (hemodynamic) response y i . tifactorial designs that allow these interactions to be measured and the central role of the context in which regionspecific responses are formed (see McIntosh, 2000).”