Search results for 'Graph theory' (try it on Scholar)

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  1. Sahotra Sarkar (1990). On Adaptation: A Reduction of the Kauffman-Levin Model to a Problem in Graph Theory and its Consequences. [REVIEW] Biology and Philosophy 5 (2):127-148.score: 212.0
    It is shown that complex adaptations are best modelled as discrete processes represented on directed weighted graphs. Such a representation captures the idea that problems of adaptation in evolutionary biology are problems in a discrete space, something that the conventional representations using continuous adaptive landscapes does not. Further, this representation allows the utilization of well-known algorithms for the computation of several biologically interesting results such as the accessibility of one allele from another by a specified number of point mutations, the (...)
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  2. William Gasarch & Jeffry L. Hirst (1998). Reverse Mathematics and Recursive Graph Theory. Mathematical Logic Quarterly 44 (4):465-473.score: 210.0
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  3. John M. Harris, Jeffry L. Hirst & Michael J. Mossinghoff (2008). Combinatorics and Graph Theory. Springer.score: 180.0
    This book covers a wide variety of topics in combinatorics and graph theory.
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  4. Stephan Eliez Marie-Christine Ottet, Marie Schaer, Martin Debbané, Leila Cammoun, Jean-Philippe Thiran (2013). Graph Theory Reveals Dysconnected Hubs in 22q11DS and Altered Nodal Efficiency in Patients with Hallucinations. Frontiers in Human Neuroscience 7.score: 180.0
    Schizophrenia is postulated to be the prototypical dysconnection disorder, in which hallucinations are the core symptom. Due to high heterogeneity in methodology across studies and the clinical phenotype, it remains unclear whether the structural brain dysconnection is global or focal and if clinical symptoms result from this dysconnection. In the present work, we attempt to clarify this issue by studying a population considered as a homogeneous genetic sub-type of schizophrenia, namely the 22q11.2 deletion syndrome (22q11.2DS). Cerebral MRIs were acquired for (...)
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  5. Harvey Friedman, P01 INCOMPLETENESS: Finite Graph Theory.score: 150.0
    For digraphs G, we write V(G) for the set of all vertices of G, and E(G) for the set of all edges of G. A digraph on a set E is a digraph G where V(G) = E.
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  6. Harvey M. Friedman, Applications of Large Cardinals to Graph Theory.score: 150.0
    Since then we have been engaged in the development of such results of greater relevance to mathematical practice. In January, 1997 we presented some new results of this kind involving what we call “jump free” classes of finite functions. This Jump Free Theorem is treated in section 2.
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  7. Adam Synowiecki, Krzysztof Kiwiel & John Dickson (1973). Hegel's Logic in the Light of Graph Theory. Dialectics and Humanism 1 (1):87-96.score: 150.0
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  8. Del Pozo Guerrero Francisco (2011). Working Memory in Aging. Graph Theory for a MEG-DTI Study. Frontiers in Human Neuroscience 5.score: 150.0
  9. Harald Gropp (1996). Poincaré and Graph Theory. Philosophia Scientiae 1 (4):85-95.score: 150.0
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  10. Benjamin D. Miller (2012). The Graph-Theoretic Approach to Descriptive Set Theory. Bulletin of Symbolic Logic 18 (4):554-575.score: 132.0
    We sketch the ideas behind the use of chromatic numbers in establishing descriptive set-theoretic dichotomy theorems.
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  11. Zhang Chen, Min Liu, Donald William Gross & Christian Beaulieu (2013). Graph Theoretical Analysis of Developmental Patterns of the White Matter Network. Frontiers in Human Neuroscience 7.score: 120.0
    Understanding the development of human brain organization is critical for gaining insight into how the enhancement of cognitive processes is related to the fine-tuning of the brain network. However, the developmental trajectory of the large-scale white matter (WM) network is not fully understood. Here, using graph theory, we examine developmental changes in the organization of WM networks in 180 typically-developing participants. WM networks were constructed using whole brain tractography and 78 cortical regions of interest were extracted from each (...)
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  12. Z. Diskin (1997). Towards Algebraic Graph-Based Model Theory for Computer Science. Bulletin of Symbolic Logic 3:144-145.score: 120.0
     
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  13. Alexander Gebharter & Marie I. Kaiser (2014). Causal Graphs and Biological Mechanisms. In Marie I. Kaiser, Oliver Scholz, Daniel Plenge & Andreas Hüttemann (eds.), Explanation in the special sciences: The case of biology and history. Springer. 55-85.score: 100.0
    Modeling mechanisms is central to the biological sciences – for purposes of explanation, prediction, extrapolation, and manipulation. A closer look at the philosophical literature reveals that mechanisms are predominantly modeled in a purely qualitative way. That is, mechanistic models are conceived of as representing how certain entities and activities are spatially and temporally organized so that they bring about the behavior of the mechanism in question. Although this adequately characterizes how mechanisms are represented in biology textbooks, contemporary biological research practice (...)
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  14. Rafael de Clercq (2012). On Some Putative Graph-Theoretic Counterexamples to the Principle of the Identity of Indiscernibles. Synthese 187 (2):661-672.score: 96.0
    Recently, several authors have claimed to have found graph-theoretic counterexamples to the Principle of the Identity of Indiscernibles. In this paper, I argue that their counterexamples presuppose a certain view of what unlabeled graphs are, and that this view is optional at best.
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  15. Martin Kronbichler Melanie Tschernegg, Julia S. Crone, Tina Eigenberger, Philipp Schwartenbeck, Mira Fauth-Bühler, Tagrid Lemènager, Karl Mann, Natasha Thon, Friedrich M. Wurst (2013). Abnormalities of Functional Brain Networks in Pathological Gambling: A Graph-Theoretical Approach. Frontiers in Human Neuroscience 7.score: 96.0
    Functional neuroimaging studies of pathological gambling demonstrate alterations in frontal and subcortical regions of the mesolimbic reward system. However, most investigations were performed using tasks involving reward processing or executive functions. Little is known about brain network abnormalities during task-free resting state in pathological gambling. In the present study, graph-theoretical methods were used to investigate network properties of resting state functional MRI data in pathological gambling. We compared 19 patients with pathological gambling to 19 healthy controls using the (...) Analysis Toolbox (GAT). None of the examined global metrics differed between groups. At the nodal level, pathological gambler showed a reduced clustering coefficient in the left paracingulate cortex and the left juxtapositional lobe (SMA), reduced local efficiency in the left SMA, as well as an increased node betweenness for the left and right paracingulate cortex and the left SMA. At an uncorrected threshold level, the node betweenness in the left inferior frontal gyrus was decreased and increased in the caudate. Additionally, increased functional connectivity between fronto-striatal regions and within frontal regions has also been found for the gambling patients. These findings suggest that regions associated with the reward system demonstrate reduced segregation but enhanced integration while regions associated with executive functions demonstrate reduced integration. The present study makes evident that pathological gambling is also associated with abnormalities in the topological network structure of the brain during rest. Since alterations in pathological gambling cannot be explained by direct effects of abused substances on the brain, these findings will be of relevance for understanding functional connectivity in other addictive disorders. (shrink)
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  16. Guangyu Chen, Hong-Ying Zhang, Chunming Xie, Gang Chen, Zhi-Jun Zhang, Gao-Jun Teng & Shi-Jiang Li (2013). Modular Reorganization of Brain Resting State Networks and its Independent Validation in Alzheimer's Disease Patients. Frontiers in Human Neuroscience 7.score: 90.0
    Previous studies have demonstrated disruption in structural and functional connectivity occurring in the Alzheimer’s Disease (AD). However, it is not known how these disruptions alter brain network reorganization. With the modular analysis method of graph theory, and datasets acquired by the resting-state functional connectivity MRI (R-fMRI) method, we investigated and compared the brain organization patterns between the AD group and the cognitively normal control (CN) group. Our main finding is that the largest homotopic module (defined as the insula (...)
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  17. Frederik Herzberg (2014). A Graded Bayesian Coherence Notion. Erkenntnis 79 (4):843-869.score: 90.0
    Coherence is a key concept in many accounts of epistemic justification within ‘traditional’ analytic epistemology. Within formal epistemology, too, there is a substantial body of research on coherence measures. However, there has been surprisingly little interaction between the two bodies of literature. The reason is that the existing formal literature on coherence measure operates with a notion of belief system that is very different from—what we argue is—a natural Bayesian formalisation of the concept of belief system from traditional epistemology. Therefore, (...)
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  18. Ulman Lindenberger Johanna Sänger, Viktor Müller (2012). Intra- and Interbrain Synchronization and Network Properties When Playing Guitar in Duets. Frontiers in Human Neuroscience 6.score: 90.0
    To further test and explore the hypothesis that synchronous oscillatory brain activity supports interpersonally coordinated behavior during dyadic music performance, we simultaneously recorded the electroencephalogram (EEG) from the brains of each of 12 guitar duets repeatedly playing a modified Rondo in two voices by C. G. Scheidler. Indicators of phase locking and of within-brain and between-brain phase coherence were obtained from complex time-frequency signals based on the Gabor transform. Analyses were restricted to the delta (1-4 Hz) and theta (4-8 Hz) (...)
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  19. Chandan J. Vaidya Xiaozhen You, Megan Norr, Eric Murphy, Emily S. Kuschner, Elgiz Bal, William D. Gaillard, Lauren Kenworthy (2013). Atypical Modulation of Distant Functional Connectivity by Cognitive State in Children with Autism Spectrum Disorders. Frontiers in Human Neuroscience 7.score: 90.0
    We examined whether modulation of functional connectivity by cognitive state differed between pre-adolescent children with Autism Spectrum Disorders (ASD) and age and IQ-matched control children. Children underwent functional magnetic resonance imaging (fMRI) during two states, a resting state followed by a sustained attention task. A voxel-wise method was used to characterize functional connectivity at two levels, local (within a voxel’s 14 mm neighborhood) and distant (outside of the voxel’s 14 mm neighborhood to the rest of the brain) and regions exhibiting (...)
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  20. Stephen F. Bush & Sanjay Goel (forthcoming). Graph Spectra for Communications in Biological and Carbon Nanotube Networks. Ieee Journal on Selected Areas in Communications:1--10.score: 90.0
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  21. Susan Whitfield-Gabrieli Elizabeth Redcay, Joseph M. Moran, Penelope L. Mavros, Helen Tager-Flusberg, John D. E. Gabrieli (2013). Intrinsic Functional Network Organization in High-Functioning Adolescents with Autism Spectrum Disorder. Frontiers in Human Neuroscience 7.score: 90.0
    Converging theories and data suggest that atypical patterns of functional and structural connectivity are a hallmark neurobiological feature of autism. However, empirical studies of functional connectivity, or, the correlation of MRI signal between brain regions, have largely been conducted during task performance and/or focused on group differences within one network (e.g., the default mode network). This narrow focus on task-based connectivity and single network analyses precludes investigation of whole-brain intrinsic network organization in autism. To assess whole-brain network properties in adolescents (...)
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  22. Jean A. Larson (2005). Ramsey Theory for Countable Binary Homogeneous Structures. Notre Dame Journal of Formal Logic 46 (3):335-352.score: 84.0
    Countable homogeneous relational structures have been studied by many people. One area of focus is the Ramsey theory of such structures. After a review of background material, a partition theorem of Laflamme, Sauer, and Vuksanovic for countable homogeneous binary relational structures is discussed with a focus on the size of the set of unavoidable colors.
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  23. Jeffrey J. Kline & Shravan Luckraz, A Note on the Relationship Between Graphs and Information Protocols.score: 82.0
    Information protocols (IP's) were developed to describe players who learn their social situation by their experiences. Although IP's look similar to colored multi-graphs (MG's), the two objects are constructed in fundamentally different ways. IP's are constructed using the global concept of history, whereas graphs are constructed using the local concept of edges. We give necessary and sufficient conditions for each theory to be captured by the other. We find that the necessary and sufficient condition for IP theory to (...)
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  24. Matthias Dehmer & Abbe Mowshowitz (2011). Generalized Graph Entropies. Complexity 17 (2):45-50.score: 78.0
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  25. Landon Rabern, Brian Rabern & Matthew Macauley (2013). Dangerous Reference Graphs and Semantic Paradoxes. Journal of Philosophical Logic 42 (5):727-765.score: 76.0
    The semantic paradoxes are often associated with self-reference or referential circularity. Yablo (Analysis 53(4):251–252, 1993), however, has shown that there are infinitary versions of the paradoxes that do not involve this form of circularity. It remains an open question what relations of reference between collections of sentences afford the structure necessary for paradoxicality. In this essay, we lay the groundwork for a general investigation into the nature of reference structures that support the semantic paradoxes and the semantic hypodoxes. We develop (...)
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  26. Matthew Jura, Oscar Levin & Tyler Markkanen (2014). Domatic Partitions of Computable Graphs. Archive for Mathematical Logic 53 (1-2):137-155.score: 76.0
    Given a graph G, we say that a subset D of the vertex set V is a dominating set if it is near all the vertices, in that every vertex outside of D is adjacent to a vertex in D. A domatic k-partition of G is a partition of V into k dominating sets. In this paper, we will consider issues of computability related to domatic partitions of computable graphs. Our investigation will center on answering two types of questions (...)
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  27. Régis Pellissier (2008). “Setting” N-Opposition. Logica Universalis 2 (2):235-263.score: 72.0
    Our aim is to show that translating the modal graphs of Moretti’s “n-opposition theory” (2004) into set theory by a suited device, through identifying logical modal formulas with appropriate subsets of a characteristic set, one can, in a constructive and exhaustive way, by means of a simple recurring combinatory, exhibit all so-called “logical bi-simplexes of dimension n” (or n-oppositional figures, that is the logical squares, logical hexagons, logical cubes, etc.) contained in the logic produced by any given modal (...)
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  28. R. C. Miall S. Sami (2013). Graph Network Analysis of Immediate Motor-Learning Induced Changes in Resting State BOLD. Frontiers in Human Neuroscience 7.score: 72.0
    Recent studies have demonstrated that following learning tasks, changes in the resting state activity of the brain shape regional connections in functionally specific circuits. Here we expand on these findings by comparing changes induced in the resting state immediately following four motor tasks. Two groups of participants performed a visuo-motor joystick task with one group adapting to a transformed relationship between joystick and cursor. Two other groups were trained in either explicit or implicit procedural sequence learning. Resting state BOLD data (...)
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  29. Nicholas Shackel (2011). The World as a Graph: Defending Metaphysical Graphical Structuralism. Analysis 71 (1):10-21.score: 66.0
    Metaphysical graphical structuralism is the view that at some fundamental level the world is a mathematical graph of nodes and edges. Randall Dipert has advanced a graphical structuralist theory of fundamental particulars and Alexander Bird has advanced a graphical structuralist theory of fundamental properties. David Oderberg has posed a powerful challenge to graphical structuralism: that it entails the absurd inexistence of the world or the absurd cessation of all change. In this paper I defend graphical structuralism. A (...)
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  30. Joseph Berger (2000). Theory and Formalization: Some Reflections on Experience. Sociological Theory 18 (3):482-489.score: 66.0
    I describe in this paper some of my efforts in developing formal theories of social processes. These include work on models of occupational mobility, on models to describe the emergence of expectations out of performance evaluations, and on the graph theory formulation of the Status Characteristics theory. Not all models have been equally significant in developing theory. However, the graph theory formulation has played a central role in the growth of the Expectation States program. (...)
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  31. Matthew Tugby (2013). Categoricalism, Dispositionalism, and the Epistemology of Properties. Synthese 191 (6):1-16.score: 66.0
    Notoriously, the dispositional view of natural properties is thought to face a number of regress problems, one of which points to an epistemological worry. In this paper, I argue that the rival categorical view is also susceptible to the same kind of regress problem. This problem can be overcome, most plausibly, with the development of a structuralist epistemology. After identifying problems faced by alternative solutions, I sketch the main features of this structuralist epistemological approach, referring to graph-theoretic modelling in (...)
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  32. Mark S. Cohen Ariana Anderson (2013). Decreased Small-World Functional Network Connectivity and Clustering Across Resting State Networks in Schizophrenia: An fMRI Classification Tutorial. Frontiers in Human Neuroscience 7.score: 66.0
    Functional network connectivity is a method of analyzing the temporal relationship of anatomical brain components, comparing the synchronicity between patient groups or conditions. We use functional-connectivity measures between independent components to classify between Schizophrenia patients and healthy controls during resting-state. Connectivity is measured using a variety of graph-theoretic connectivity measures such as graph density, average path length, and small-worldness. The Schizophrenia patients showed significantly less clustering (transitivity) among components than healthy controls (p<.05, corrected) with networks less likely to (...)
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  33. Vera Koponen & Tapani Hyttinen (2013). On Compactness of Logics That Can Express Properties of Symmetry or Connectivity. Studia Logica:1-20.score: 66.0
    A condition, in two variants, is given such that if a property P satisfies this condition, then every logic which is at least as strong as first-order logic and can express P fails to have the compactness property. The result is used to prove that for a number of natural properties P speaking about automorphism groups or connectivity, every logic which is at least as strong as first-order logic and can express P fails to have the compactness property. The basic (...)
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  34. Maria G. Knyazeva Elham Barzegaran, Amir Joudaki, Mahdi Jalili, Andrea O. Rossetti, Richard S. Frackowiak (2012). Properties of Functional Brain Networks Correlate with Frequency of Psychogenic Non-Epileptic Seizures. Frontiers in Human Neuroscience 6.score: 66.0
    Abnormalities in the topology of brain networks may be an important feature and etiological factor for psychogenic non-epileptic seizures (PNES). To explore this possibility, we applied a graph theoretical approach to functional networks based on resting state EEGs from 13 PNES patients and 13 age- and gender-matched controls. The networks were extracted from Laplacian-transformed time-series by a cross-correlation method. PNES patients showed close to normal local and global connectivity and small-world structure, estimated with clustering coefficient, modularity, global efficiency, and (...)
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  35. Neda Bernasconi Boris C. Bernhardt, SeokJun Hong, Andrea Bernasconi (2013). Imaging Structural and Functional Brain Networks in Temporal Lobe Epilepsy. Frontiers in Human Neuroscience 7.score: 66.0
    Early imaging studies in temporal lobe epilepsy (TLE) focused on the search for mesial temporal sclerosis, as its surgical removal results in clinically meaningful improvement in about 70% of patients. Nevertheless, a considerable subgroup of patients continues to suffer from post-operative seizures. Although the reasons for surgical failure are not fully understood, electrophysiological and imaging data suggest that anomalies extending beyond the temporal lobe may have negative impact on outcome. This hypothesis has revived the concept of human epilepsy as a (...)
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  36. Richard Coppola Shennan Aibel Weiss, Danielle S. Bassett, Daniel Rubinstein, Tom Holroyd, Jose Apud, Dwight Dickinson (2011). Functional Brain Network Characterization and Adaptivity During Task Practice in Healthy Volunteers and People with Schizophrenia. Frontiers in Human Neuroscience 5.score: 66.0
    : Cognitive remediation involves task practice and may improve deficits in people suffering from schizophrenia, but little is known about underlying neurophysiological mechanisms. In people with schizophrenia and controls, we used magnetoencephalography (MEG) to examine accuracy and practice-related changes in parameters indexing neural network structure and activity, to determine whether these might be useful assays of the efficacy of cognitive remediation. Two MEG recordings were acquired during performance of a tone discrimination task used to improve the acuity of auditory processing, (...)
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  37. Dov M. Gabbay & Andrzej Szałas (2009). Annotation Theories Over Finite Graphs. Studia Logica 93 (2/3):147 - 180.score: 64.0
    In the current paper we consider theories with vocabulary containing a number of binary and unary relation symbols. Binary relation symbols represent labeled edges of a graph and unary relations represent unique annotations of the graph's nodes. Such theories, which we call annotation theories^ can be used in many applications, including the formalization of argumentation, approximate reasoning, semantics of logic programs, graph coloring, etc. We address a number of problems related to annotation theories over finite models, including (...)
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  38. Paul Shafer (2012). Menger's Theorem in {{\ Pi^ 11\ Tt {-CA} 0}}. Archive for Mathematical Logic 51 (3-4):407-423.score: 62.0
    We prove Menger’s theorem for countable graphs in ${{\Pi^1_1\tt{-CA}_0}}$ . Our proof in fact proves a stronger statement, which we call extended Menger’s theorem, that is equivalent to ${{\Pi^1_1\tt{-CA}_0}}$ over ${{\tt{RCA}_0}}$.
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  39. Ming Hsiung (2009). Jump Liars and Jourdain's Card Via the Relativized T-Scheme. Studia Logica 91 (2):239 - 271.score: 60.0
    A relativized version of Tarski’s T-scheme is introduced as a new principle of the truth predicate. Under the relativized T-scheme, the paradoxical objects, such as the Liar sentence and Jourdain’s card sequence, are found to have certain relative contradictoriness. That is, they are contradictory only in some frames in the sense that any valuation admissible for them in these frames will lead to a contradiction. It is proved that for any positive integer n , the n -jump liar sentence is (...)
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  40. Adam Kolany (2010). Reversed Resolution in Reducing General Satisfiability Problem. Studia Logica 95 (3):407 - 416.score: 60.0
    In the following we show that general property S considered by Cowen [1], Cowen and Kolany in [3] and earlier by Cowen in [2] and Kolany in [4] as hypergraph satisfiability, can be constructively reduced to (3, 2) · SAT , that is to satisfiability of (at most) triples with two-element forbidden sets. This is an analogue of the“classical” result on the reduction of SAT to 3 · SAT.
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  41. Rajeev Krishnadas, Jongrae Kim, John McLean, David G. Batty, Jennifer McLean, Keith Millar, Chris Packard & Jonathan Cavanagh (2013). The Envirome and the Connectome: Exploring the Structural Noise in the Human Brain Associated with Socioeconomic Deprivation. Frontiers in Human Neuroscience 7.score: 60.0
    Complex cognitive functions are widely recognized to be the result of a number of brain regions working together as large-scale networks. Recently, complex network analysis has been used to characterize various structural properties of the large scale network organization of the brain. For example, the human brain has been found to have a modular architecture i.e. regions within the network form communities (modules) with more connections between regions within the community compared to regions outside it. The aim of this study (...)
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  42. Satoru Hayasaka (2013). Functional Connectivity Networks with and Without Global Signal Correction. Frontiers in Human Neuroscience 7.score: 60.0
  43. Danielle S. Bassett & Felix Siebenhühner (2012). Spinning a Mental Web. Frontiers in Human Neuroscience 6.score: 60.0
    Frontiers | Spinning a Mental Web | publishes articles on the most outstanding discoveries across the entire research spectrum of Frontiers | Spinning a Mental Web |. Our aim is to bring all relevant Specialties in Frontiers | Spinning a Mental Web | together on a single platform.
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  44. Thomas C. Brown (1979). Canonical Simplification of Finite Objects, Well Quasi-Ordered by Tree Embedding. Dept. Of Computer Science, University of Illinois at Urbana-Champaign.score: 60.0
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  45. Nazareth P. Castellanos, Ricardo Bajo, Pablo Cuesta, José Antonio Villacorta-Atienza, Nuria Paúl, Juan Garcia-Prieto, Francisco Del-Pozo & Fernando Maestú (2011). Alteration and Reorganization of Functional Networks: A New Perspective in Brain Injury Study. Frontiers in Human Neuroscience 5.score: 60.0
    Plasticity is the mechanism underlying brain’s potential capability to compensate injury. Recently several studies have shown that functional connections among brain areas are severely altered by brain injury and plasticity leading to a reorganization of the networks. This new approach studies the impact of brain injury by means of alteration of functional interactions. The concept of functional connectivity refers to the statistical interdependencies between physiological time series simultaneously recorded in various brain areas and it could be an essential tool for (...)
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  46. Felix Siebenhühner Danielle S. Bassett (2012). Spinning a Mental Web. Frontiers in Human Neuroscience 6.score: 60.0
  47. Ralph-Axel Müller Jose O. Maximo, Christopher L. Keown, Aarti Nair (2013). Approaches to Local Connectivity in Autism Using Resting State Functional Connectivity MRI. Frontiers in Human Neuroscience 7.score: 60.0
    While the literature on aberrant long-distance connectivity in autism spectrum disorder (ASD) has grown fast over the past decade, little is know about local connectivity. We used regional homogeneity (ReHo) and local density approaches at different spatial scales to examine local connectivity in 29 children and adolescents with ASD and 29 matched typically developing participants, using resting state functional MRI data. Across a total of 12 analysis pipelines, the gross pattern of between-group findings was overall stable, with local overconnectivity in (...)
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  48. Cornelis Jan Stam Linda Douw, Edwin van Dellen, Johannes C. Baayen, Martin Klein, Demetrios N. Velis, Willem C. J. Alpherts, Jan J. Heimans, Jaap C. Reijneveld (2010). The Lesioned Brain: Still a Small-World? Frontiers in Human Neuroscience 4.score: 60.0
    The intra-arterial amobarbital procedure (IAP or Wada test) is used to determine language lateralization and contralateral memory functioning in patients eligible for neurosurgery because of pharmaco-resistant epilepsy. During unilateral sedation, functioning of the contralateral hemisphere is assessed by means of neuropsychological tests. We use the IAP as a reversible model for the effect of lesions on brain network topology. Three artifact free epochs (4096 samples) were selected from each EEG record before and after amobarbital injection. Functional connectivity was assessed by (...)
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  49. Jose O. Maximo, Christopher L. Keown, Aarti Nair & Ralph-Axel Müller (2013). Approaches to Local Connectivity in Autism Using Resting State Functional Connectivity MRI. Frontiers in Human Neuroscience 7.score: 60.0
    While the literature on aberrant long-distance connectivity in autism spectrum disorder (ASD) has grown fast over the past decade, little is know about local connectivity. We used regional homogeneity (ReHo) and local density approaches at different spatial scales to examine local connectivity in 29 children and adolescents with ASD and 29 matched typically developing participants, using resting state functional MRI data. Across a total of 12 analysis pipelines, the gross pattern of between-group findings was overall stable, with local overconnectivity in (...)
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  50. L. Zager & G. Verghese (2009). Epidemic Thresholds for Infections in Uncertain Networks. Complexity 14 (4):12-25.score: 60.0
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