Author: Ervin Laszlo
Publisher: State University of New York Press
ISBN: 0791486559
Category : Science
Languages : en
Pages : 158
Book Description
Ervin Laszlo, widely regarded as the founder of systems philosophy and general evolution theory, introduces the foundations of a genuine unified theory of the world in this pioneering treatise on the new sciences. In contrast to other unified theories that center mainly on physics, Laszlo's embraces quantum, cosmos, life, as well as consciousness. He delineates the principles of a new physics of universal connectivity and puts forth the corresponding metaphysics, discussing the implications for such philosophical issues as the nature of matter and mind, freedom and morality, and design versus evolution. This landmark book lays the groundwork for the non-materialist and non-reductionist yet rigorous paradigm that is likely to signal the next revolution in science: the "paradigm of universal connectivity."
The Connectivity Hypothesis
Author: Ervin Laszlo
Publisher: State University of New York Press
ISBN: 0791486559
Category : Science
Languages : en
Pages : 158
Book Description
Ervin Laszlo, widely regarded as the founder of systems philosophy and general evolution theory, introduces the foundations of a genuine unified theory of the world in this pioneering treatise on the new sciences. In contrast to other unified theories that center mainly on physics, Laszlo's embraces quantum, cosmos, life, as well as consciousness. He delineates the principles of a new physics of universal connectivity and puts forth the corresponding metaphysics, discussing the implications for such philosophical issues as the nature of matter and mind, freedom and morality, and design versus evolution. This landmark book lays the groundwork for the non-materialist and non-reductionist yet rigorous paradigm that is likely to signal the next revolution in science: the "paradigm of universal connectivity."
Publisher: State University of New York Press
ISBN: 0791486559
Category : Science
Languages : en
Pages : 158
Book Description
Ervin Laszlo, widely regarded as the founder of systems philosophy and general evolution theory, introduces the foundations of a genuine unified theory of the world in this pioneering treatise on the new sciences. In contrast to other unified theories that center mainly on physics, Laszlo's embraces quantum, cosmos, life, as well as consciousness. He delineates the principles of a new physics of universal connectivity and puts forth the corresponding metaphysics, discussing the implications for such philosophical issues as the nature of matter and mind, freedom and morality, and design versus evolution. This landmark book lays the groundwork for the non-materialist and non-reductionist yet rigorous paradigm that is likely to signal the next revolution in science: the "paradigm of universal connectivity."
Fundamentals of Brain Network Analysis
Author: Alex Fornito
Publisher: Academic Press
ISBN: 0124081185
Category : Medical
Languages : en
Pages : 496
Book Description
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain
Publisher: Academic Press
ISBN: 0124081185
Category : Medical
Languages : en
Pages : 496
Book Description
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain
Brain Connectivity in Autism
Author: Rajesh K. Kana
Publisher: Frontiers E-books
ISBN: 2889192822
Category : Autism
Languages : en
Pages : 265
Book Description
The brain's ability to process information crucially relies on connectivity. Understanding how the brain processes complex information and how such abilities are disrupted in individuals with neuropsychological disorders will require an improved understanding of brain connectivity. Autism is an intriguingly complex neurodevelopmental disorder with multidimensional symptoms and cognitive characteristics. A biological origin for autism spectrum disorders (ASD) had been proposed even in the earliest published accounts (Kanner, 1943; Asperger, 1944). Despite decades of research, a focal neurobiological marker for autism has been elusive. Nevertheless, disruptions in interregional and functional and anatomical connectivity have been a hallmark of neural functioning in ASD. Theoretical accounts of connectivity perceive ASD as a cognitive and neurobiological disorder associated with altered functioning of integrative circuitry. Neuroimaging studies have reported disruptions in functional connectivity (synchronization of activated brain areas) during cognitive tasks and during task-free resting states. While these insights are valuable, they do not address the time-lagged causality and directionality of such correlations. Despite the general promise of the connectivity account of ASD, inconsistencies and methodological differences among studies call for more thorough investigations. A comprehensive neurological account of ASD should incorporate functional, effective, and anatomical connectivity measures and test the diagnostic utility of such measures. In addition, questions pertaining to how cognitive and behavioral intervention can target connection abnormalities in ASD should be addressed. This research topic of the Frontiers in Human Neuroscience addresses “Brain Connectivity in Autism” primarily from cognitive neuroscience and neuroimaging perspectives.
Publisher: Frontiers E-books
ISBN: 2889192822
Category : Autism
Languages : en
Pages : 265
Book Description
The brain's ability to process information crucially relies on connectivity. Understanding how the brain processes complex information and how such abilities are disrupted in individuals with neuropsychological disorders will require an improved understanding of brain connectivity. Autism is an intriguingly complex neurodevelopmental disorder with multidimensional symptoms and cognitive characteristics. A biological origin for autism spectrum disorders (ASD) had been proposed even in the earliest published accounts (Kanner, 1943; Asperger, 1944). Despite decades of research, a focal neurobiological marker for autism has been elusive. Nevertheless, disruptions in interregional and functional and anatomical connectivity have been a hallmark of neural functioning in ASD. Theoretical accounts of connectivity perceive ASD as a cognitive and neurobiological disorder associated with altered functioning of integrative circuitry. Neuroimaging studies have reported disruptions in functional connectivity (synchronization of activated brain areas) during cognitive tasks and during task-free resting states. While these insights are valuable, they do not address the time-lagged causality and directionality of such correlations. Despite the general promise of the connectivity account of ASD, inconsistencies and methodological differences among studies call for more thorough investigations. A comprehensive neurological account of ASD should incorporate functional, effective, and anatomical connectivity measures and test the diagnostic utility of such measures. In addition, questions pertaining to how cognitive and behavioral intervention can target connection abnormalities in ASD should be addressed. This research topic of the Frontiers in Human Neuroscience addresses “Brain Connectivity in Autism” primarily from cognitive neuroscience and neuroimaging perspectives.
Handbook of functional connectivity Magnetic Resonance Imaging methods in CONN
Author: Alfonso Nieto-Castanon
Publisher: Hilbert Press
ISBN: 0578644002
Category : Science
Languages : en
Pages : 113
Book Description
This handbook describes methods for processing and analyzing functional connectivity Magnetic Resonance Imaging (fcMRI) data using the CONN toolbox, a popular freely-available functional connectivity analysis software. Content description [excerpt from introduction] The first section (fMRI minimal preprocessing pipeline) describes standard and advanced preprocessing steps in fcMRI. These steps are aimed at correcting or minimizing the influence of well-known factors affecting the quality of functional and anatomical MRI data, including effects arising from subject motion within the scanner, temporal and spatial image distortions due to the sequential nature of the scanning acquisition protocol, and inhomogeneities in the scanner magnetic field, as well as anatomical differences among subjects. Even after these conventional preprocessing steps, the measured blood-oxygen-level-dependent (BOLD) signal often still contains a considerable amount of noise from a combination of physiological effects, outliers, and residual subject-motion factors. If unaccounted for, these factors would introduce very strong and noticeable biases in all functional connectivity measures. The second section (fMRI denoising pipeline) describes standard and advanced denoising procedures in CONN that are used to characterize and remove the effect of these residual non-neural noise sources. Functional connectivity Magnetic Resonance Imaging studies attempt to quantify the level of functional integration across different brain areas. The third section (functional connectivity measures) describes a representative set of functional connectivity measures available in CONN, each focusing on different indicators of functional integration, including seed-based connectivity measures, ROI-to-ROI measures, graph theoretical approaches, network-based measures, and dynamic connectivity measures. Second-level analyses allow researchers to make inferences about properties of groups or populations, by generalizing from the observations of only a subset of subjects in a study. The fourth section (General Linear Model) describes the mathematics behind the General Linear Model (GLM), the approach used in CONN for all second-level analyses of functional connectivity measures. The description includes GLM model definition, parameter estimation, and hypothesis testing framework, as well as several practical examples and general guidelines aimed at helping researchers use this method to answer their specific research questions. The last section (cluster-level inferences) details several approaches implemented in CONN that allow researchers to make meaningful inferences from their second-level analysis results while providing appropriate family-wise error control (FWEC), whether in the context of voxel-based measures, such as when studying properties of seed-based maps across multiple subjects, or in the context of ROI-to-ROI measures, such as when studying properties of ROI-to-ROI connectivity matrices across multiple subjects.
Publisher: Hilbert Press
ISBN: 0578644002
Category : Science
Languages : en
Pages : 113
Book Description
This handbook describes methods for processing and analyzing functional connectivity Magnetic Resonance Imaging (fcMRI) data using the CONN toolbox, a popular freely-available functional connectivity analysis software. Content description [excerpt from introduction] The first section (fMRI minimal preprocessing pipeline) describes standard and advanced preprocessing steps in fcMRI. These steps are aimed at correcting or minimizing the influence of well-known factors affecting the quality of functional and anatomical MRI data, including effects arising from subject motion within the scanner, temporal and spatial image distortions due to the sequential nature of the scanning acquisition protocol, and inhomogeneities in the scanner magnetic field, as well as anatomical differences among subjects. Even after these conventional preprocessing steps, the measured blood-oxygen-level-dependent (BOLD) signal often still contains a considerable amount of noise from a combination of physiological effects, outliers, and residual subject-motion factors. If unaccounted for, these factors would introduce very strong and noticeable biases in all functional connectivity measures. The second section (fMRI denoising pipeline) describes standard and advanced denoising procedures in CONN that are used to characterize and remove the effect of these residual non-neural noise sources. Functional connectivity Magnetic Resonance Imaging studies attempt to quantify the level of functional integration across different brain areas. The third section (functional connectivity measures) describes a representative set of functional connectivity measures available in CONN, each focusing on different indicators of functional integration, including seed-based connectivity measures, ROI-to-ROI measures, graph theoretical approaches, network-based measures, and dynamic connectivity measures. Second-level analyses allow researchers to make inferences about properties of groups or populations, by generalizing from the observations of only a subset of subjects in a study. The fourth section (General Linear Model) describes the mathematics behind the General Linear Model (GLM), the approach used in CONN for all second-level analyses of functional connectivity measures. The description includes GLM model definition, parameter estimation, and hypothesis testing framework, as well as several practical examples and general guidelines aimed at helping researchers use this method to answer their specific research questions. The last section (cluster-level inferences) details several approaches implemented in CONN that allow researchers to make meaningful inferences from their second-level analysis results while providing appropriate family-wise error control (FWEC), whether in the context of voxel-based measures, such as when studying properties of seed-based maps across multiple subjects, or in the context of ROI-to-ROI measures, such as when studying properties of ROI-to-ROI connectivity matrices across multiple subjects.
Comprehensive Guide to Autism
Author: Vinood B. Patel
Publisher: Springer
ISBN: 9781461447870
Category : Psychology
Languages : en
Pages : 0
Book Description
Autism is a complex multifaceted disorder affecting neurodevelopment during the early years of life and, for many, throughout the life span. Inherent features include difficulties or deficits in communication, social interaction, cognition, and interpersonal behavioral coordination, to name just a few. Autism profoundly impacts the affected individual, the family, and, in many cases, the localized communities. The increased prevalence of childhood autism has resulted in rapid developments in a wide range of disciplines in recent years. Nevertheless, despite intensive research, the cause(s) remain unresolved and no single treatment strategy is employed. To address these issues, Comprehensive Guide to Autism is an all-embracing reference that offers analyses and discussions of contemporary issues in the field of autism. The work brings together scientific material from leading experts in the field relating to a wide range of important current topics, such as the early identification and treatment of children with autism, pertinent social and behavioral studies, recent developments in genetics and immunology, the influence of diet, models of autism, and future treatment prospects. Comprehensive Guide to Autism contains essential readings for behavioral science researchers, psychologists, physicians, social workers, parents, and caregivers.
Publisher: Springer
ISBN: 9781461447870
Category : Psychology
Languages : en
Pages : 0
Book Description
Autism is a complex multifaceted disorder affecting neurodevelopment during the early years of life and, for many, throughout the life span. Inherent features include difficulties or deficits in communication, social interaction, cognition, and interpersonal behavioral coordination, to name just a few. Autism profoundly impacts the affected individual, the family, and, in many cases, the localized communities. The increased prevalence of childhood autism has resulted in rapid developments in a wide range of disciplines in recent years. Nevertheless, despite intensive research, the cause(s) remain unresolved and no single treatment strategy is employed. To address these issues, Comprehensive Guide to Autism is an all-embracing reference that offers analyses and discussions of contemporary issues in the field of autism. The work brings together scientific material from leading experts in the field relating to a wide range of important current topics, such as the early identification and treatment of children with autism, pertinent social and behavioral studies, recent developments in genetics and immunology, the influence of diet, models of autism, and future treatment prospects. Comprehensive Guide to Autism contains essential readings for behavioral science researchers, psychologists, physicians, social workers, parents, and caregivers.
Micro-, Meso- and Macro-Connectomics of the Brain
Author: Henry Kennedy
Publisher: Springer
ISBN: 3319277774
Category : Medical
Languages : en
Pages : 173
Book Description
This book has brought together leading investigators who work in the new arena of brain connectomics. This includes ‘macro-connectome’ efforts to comprehensively chart long-distance pathways and functional networks; ‘micro-connectome’ efforts to identify every neuron, axon, dendrite, synapse, and glial process within restricted brain regions; and ‘meso-connectome’ efforts to systematically map both local and long-distance connections using anatomical tracers. This book highlights cutting-edge methods that can accelerate progress in elucidating static ‘hard-wired’ circuits of the brain as well as dynamic interactions that are vital for brain function. The power of connectomic approaches in characterizing abnormal circuits in the many brain disorders that afflict humankind is considered. Experts in computational neuroscience and network theory provide perspectives needed for synthesizing across different scales in space and time. Altogether, this book provides an integrated view of the challenges and opportunities in deciphering brain circuits in health and disease.
Publisher: Springer
ISBN: 3319277774
Category : Medical
Languages : en
Pages : 173
Book Description
This book has brought together leading investigators who work in the new arena of brain connectomics. This includes ‘macro-connectome’ efforts to comprehensively chart long-distance pathways and functional networks; ‘micro-connectome’ efforts to identify every neuron, axon, dendrite, synapse, and glial process within restricted brain regions; and ‘meso-connectome’ efforts to systematically map both local and long-distance connections using anatomical tracers. This book highlights cutting-edge methods that can accelerate progress in elucidating static ‘hard-wired’ circuits of the brain as well as dynamic interactions that are vital for brain function. The power of connectomic approaches in characterizing abnormal circuits in the many brain disorders that afflict humankind is considered. Experts in computational neuroscience and network theory provide perspectives needed for synthesizing across different scales in space and time. Altogether, this book provides an integrated view of the challenges and opportunities in deciphering brain circuits in health and disease.
Science and the Akashic Field
Author: Ervin Laszlo
Publisher: Simon and Schuster
ISBN: 1594779902
Category : Body, Mind & Spirit
Languages : en
Pages : 169
Book Description
Presents the unifying world-concept long sought by scientists, mystics, and sages: an Integral Theory of Everything • Explains how modern science has rediscovered the Akashic Field of perennial philosophy • New edition updates ongoing scientific studies, presents new research inspired by the first edition, and includes new case studies and a section on animal telepathy Mystics and sages have long maintained that there exists an interconnecting cosmic field at the roots of reality that conserves and conveys information, a field known as the Akashic record. Recent discoveries in vacuum physics show that this Akashic Field is real and has its equivalent in science’s zero-point field that underlies space itself. This field consists of a subtle sea of fluctuating energies from which all things arise: atoms and galaxies, stars and planets, living beings, and even consciousness. This zero-point Akashic Field is the constant and enduring memory of the universe. It holds the record of all that has happened on Earth and in the cosmos and relates it to all that is yet to happen. In Science and the Akashic Field, philosopher and scientist Ervin Laszlo conveys the essential element of this information field in language that is accessible and clear. From the world of science he confirms our deepest intuitions of the oneness of creation in the Integral Theory of Everything. We discover that, as philosopher William James stated, “We are like islands in the sea, separate on the surface but connected in the deep.”
Publisher: Simon and Schuster
ISBN: 1594779902
Category : Body, Mind & Spirit
Languages : en
Pages : 169
Book Description
Presents the unifying world-concept long sought by scientists, mystics, and sages: an Integral Theory of Everything • Explains how modern science has rediscovered the Akashic Field of perennial philosophy • New edition updates ongoing scientific studies, presents new research inspired by the first edition, and includes new case studies and a section on animal telepathy Mystics and sages have long maintained that there exists an interconnecting cosmic field at the roots of reality that conserves and conveys information, a field known as the Akashic record. Recent discoveries in vacuum physics show that this Akashic Field is real and has its equivalent in science’s zero-point field that underlies space itself. This field consists of a subtle sea of fluctuating energies from which all things arise: atoms and galaxies, stars and planets, living beings, and even consciousness. This zero-point Akashic Field is the constant and enduring memory of the universe. It holds the record of all that has happened on Earth and in the cosmos and relates it to all that is yet to happen. In Science and the Akashic Field, philosopher and scientist Ervin Laszlo conveys the essential element of this information field in language that is accessible and clear. From the world of science he confirms our deepest intuitions of the oneness of creation in the Integral Theory of Everything. We discover that, as philosopher William James stated, “We are like islands in the sea, separate on the surface but connected in the deep.”
The Pattern Seekers
Author: Simon Baron-Cohen
Publisher: Basic Books
ISBN: 1541647130
Category : Psychology
Languages : en
Pages : 245
Book Description
A groundbreaking argument about the link between autism and ingenuity. Why can humans alone invent? In The Pattern Seekers, Cambridge University psychologist Simon Baron-Cohen makes a case that autism is as crucial to our creative and cultural history as the mastery of fire. Indeed, Baron-Cohen argues that autistic people have played a key role in human progress for seventy thousand years, from the first tools to the digital revolution. How? Because the same genes that cause autism enable the pattern seeking that is essential to our species's inventiveness. However, these abilities exact a great cost on autistic people, including social and often medical challenges, so Baron-Cohen calls on us to support and celebrate autistic people in both their disabilities and their triumphs. Ultimately, The Pattern Seekers isn't just a new theory of human civilization, but a call to consider anew how society treats those who think differently.
Publisher: Basic Books
ISBN: 1541647130
Category : Psychology
Languages : en
Pages : 245
Book Description
A groundbreaking argument about the link between autism and ingenuity. Why can humans alone invent? In The Pattern Seekers, Cambridge University psychologist Simon Baron-Cohen makes a case that autism is as crucial to our creative and cultural history as the mastery of fire. Indeed, Baron-Cohen argues that autistic people have played a key role in human progress for seventy thousand years, from the first tools to the digital revolution. How? Because the same genes that cause autism enable the pattern seeking that is essential to our species's inventiveness. However, these abilities exact a great cost on autistic people, including social and often medical challenges, so Baron-Cohen calls on us to support and celebrate autistic people in both their disabilities and their triumphs. Ultimately, The Pattern Seekers isn't just a new theory of human civilization, but a call to consider anew how society treats those who think differently.
Complementary Medicine And Health Psychology
Author: van Wersch, Anna
Publisher: McGraw-Hill Education (UK)
ISBN: 0335220118
Category : Psychology
Languages : en
Pages : 217
Book Description
The authors explore the relationship between health psychology and CAM and look at how an understanding of one can be used to inform the other.
Publisher: McGraw-Hill Education (UK)
ISBN: 0335220118
Category : Psychology
Languages : en
Pages : 217
Book Description
The authors explore the relationship between health psychology and CAM and look at how an understanding of one can be used to inform the other.
A First Course in Network Theory
Author: Ernesto Estrada
Publisher: OUP Oxford
ISBN: 0191039926
Category : Science
Languages : en
Pages : 269
Book Description
The study of network theory is a highly interdisciplinary field, which has emerged as a major topic of interest in various disciplines ranging from physics and mathematics, to biology and sociology. This book promotes the diverse nature of the study of complex networks by balancing the needs of students from very different backgrounds. It references the most commonly used concepts in network theory, provides examples of their applications in solving practical problems, and clear indications on how to analyse their results. In the first part of the book, students and researchers will discover the quantitative and analytical tools necessary to work with complex networks, including the most basic concepts in network and graph theory, linear and matrix algebra, as well as the physical concepts most frequently used for studying networks. They will also find instruction on some key skills such as how to proof analytic results and how to manipulate empirical network data. The bulk of the text is focused on instructing readers on the most useful tools for modern practitioners of network theory. These include degree distributions, random networks, network fragments, centrality measures, clusters and communities, communicability, and local and global properties of networks. The combination of theory, example and method that are presented in this text, should ready the student to conduct their own analysis of networks with confidence and allow teachers to select appropriate examples and problems to teach this subject in the classroom.
Publisher: OUP Oxford
ISBN: 0191039926
Category : Science
Languages : en
Pages : 269
Book Description
The study of network theory is a highly interdisciplinary field, which has emerged as a major topic of interest in various disciplines ranging from physics and mathematics, to biology and sociology. This book promotes the diverse nature of the study of complex networks by balancing the needs of students from very different backgrounds. It references the most commonly used concepts in network theory, provides examples of their applications in solving practical problems, and clear indications on how to analyse their results. In the first part of the book, students and researchers will discover the quantitative and analytical tools necessary to work with complex networks, including the most basic concepts in network and graph theory, linear and matrix algebra, as well as the physical concepts most frequently used for studying networks. They will also find instruction on some key skills such as how to proof analytic results and how to manipulate empirical network data. The bulk of the text is focused on instructing readers on the most useful tools for modern practitioners of network theory. These include degree distributions, random networks, network fragments, centrality measures, clusters and communities, communicability, and local and global properties of networks. The combination of theory, example and method that are presented in this text, should ready the student to conduct their own analysis of networks with confidence and allow teachers to select appropriate examples and problems to teach this subject in the classroom.