Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Since 2003, when spontaneous activity in cortical slices was first found to follow scale-free statistical distributions in size and duration, increasing experimental evidences and theoretical models have been reported in the literature supporting the emergence of evidence of scale invariance in the cortex. Although strongly debated, such results refer to many different in vitro and in vivo preparations (awake monkeys, anesthetized rats and cats, in vitro slices and dissociated cultures), suggesting that power law distributions and scale free correlations are a very general and robust feature of cortical activity that has been conserved across species as specific substrate for information storage, transmission and processing. Equally important is that the features reminiscent of scale invariance and criticality are observed at scale spanning from the level of interacting arrays of neurons all the way up to correlations across the entire brain. Moreover, the existing relationship between features of structural connectivity and functional critical states remains partly unclear, although investigated with both analyses of experimental data and in silico models. Thus, if we accept that the brain operates near a critical point, little is known about the causes and/or consequences of a loss of criticality and its relation with brain diseases (e.g. epilepsy). The study of how pathogenetical mechanisms are related to the critical/non-critical behavior of neuronal networks would likely provide new insights into the cellular and synaptic determinants of the emergence of critical-like dynamics and structures in neural systems. At the same time, the relation between the impaired behavior and the disruption of criticality would help clarify its role in normal brain function. The main objective of this Research Topic is to investigate the emergence/disruption of the emergent critical-like states in healthy/impaired neural systems and to link these phenomena to the underlying cellular and network features, with specific attention to structural connectivity. In particular, we would like this Research Topic to collect contributions coming from the study of neural systems at different levels of architectural complexity (from in vitro neuronal ensembles up to the human brain imaged by fMRI).

Neurosciences. --- Nervous system. --- Computational models --- in vitro --- in vivo --- network dynamics --- self-organized criticality --- neuronal avalanches --- power law

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Since 2003, when spontaneous activity in cortical slices was first found to follow scale-free statistical distributions in size and duration, increasing experimental evidences and theoretical models have been reported in the literature supporting the emergence of evidence of scale invariance in the cortex. Although strongly debated, such results refer to many different in vitro and in vivo preparations (awake monkeys, anesthetized rats and cats, in vitro slices and dissociated cultures), suggesting that power law distributions and scale free correlations are a very general and robust feature of cortical activity that has been conserved across species as specific substrate for information storage, transmission and processing. Equally important is that the features reminiscent of scale invariance and criticality are observed at scale spanning from the level of interacting arrays of neurons all the way up to correlations across the entire brain. Moreover, the existing relationship between features of structural connectivity and functional critical states remains partly unclear, although investigated with both analyses of experimental data and in silico models. Thus, if we accept that the brain operates near a critical point, little is known about the causes and/or consequences of a loss of criticality and its relation with brain diseases (e.g. epilepsy). The study of how pathogenetical mechanisms are related to the critical/non-critical behavior of neuronal networks would likely provide new insights into the cellular and synaptic determinants of the emergence of critical-like dynamics and structures in neural systems. At the same time, the relation between the impaired behavior and the disruption of criticality would help clarify its role in normal brain function. The main objective of this Research Topic is to investigate the emergence/disruption of the emergent critical-like states in healthy/impaired neural systems and to link these phenomena to the underlying cellular and network features, with specific attention to structural connectivity. In particular, we would like this Research Topic to collect contributions coming from the study of neural systems at different levels of architectural complexity (from in vitro neuronal ensembles up to the human brain imaged by fMRI).

Neurosciences. --- Nervous system. --- Neuroscience --- Human Anatomy & Physiology --- Health & Biological Sciences --- Computational models --- in vitro --- in vivo --- network dynamics --- self-organized criticality --- neuronal avalanches --- power law

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Since 2003, when spontaneous activity in cortical slices was first found to follow scale-free statistical distributions in size and duration, increasing experimental evidences and theoretical models have been reported in the literature supporting the emergence of evidence of scale invariance in the cortex. Although strongly debated, such results refer to many different in vitro and in vivo preparations (awake monkeys, anesthetized rats and cats, in vitro slices and dissociated cultures), suggesting that power law distributions and scale free correlations are a very general and robust feature of cortical activity that has been conserved across species as specific substrate for information storage, transmission and processing. Equally important is that the features reminiscent of scale invariance and criticality are observed at scale spanning from the level of interacting arrays of neurons all the way up to correlations across the entire brain. Moreover, the existing relationship between features of structural connectivity and functional critical states remains partly unclear, although investigated with both analyses of experimental data and in silico models. Thus, if we accept that the brain operates near a critical point, little is known about the causes and/or consequences of a loss of criticality and its relation with brain diseases (e.g. epilepsy). The study of how pathogenetical mechanisms are related to the critical/non-critical behavior of neuronal networks would likely provide new insights into the cellular and synaptic determinants of the emergence of critical-like dynamics and structures in neural systems. At the same time, the relation between the impaired behavior and the disruption of criticality would help clarify its role in normal brain function. The main objective of this Research Topic is to investigate the emergence/disruption of the emergent critical-like states in healthy/impaired neural systems and to link these phenomena to the underlying cellular and network features, with specific attention to structural connectivity. In particular, we would like this Research Topic to collect contributions coming from the study of neural systems at different levels of architectural complexity (from in vitro neuronal ensembles up to the human brain imaged by fMRI).

Neurosciences. --- Nervous system. --- Neuroscience --- Human Anatomy & Physiology --- Health & Biological Sciences --- Computational models --- in vitro --- in vivo --- network dynamics --- self-organized criticality --- neuronal avalanches --- power law

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Plant Adaptation to Global Climate Change discusses the issues of the impact of climate change factors (abiotic and biotic) on vegetation. This book also deals with simulation modeling approaches to understanding the long-term effects of different environmental factors on vegetation. This book is a valuable resource for the environmental science research community, including those interested in assessing climate change impacts on vegetation and researchers working on simulation modeling.

Research & information: general --- climate change impacts --- sugarcane --- yield --- harvested area --- production --- Thai agriculture --- rice --- heat stress --- whole genome DNA microarray --- yield loss --- MapMan analysis --- HRDE --- anthesis and maturity date --- crop yield --- SimCLIM --- DSSAT model --- planting date --- basal area increment --- air temperature --- precipitation --- Taylor’s power law --- tree ring analysis --- climate change --- farm work --- WBGT --- mitigation --- East Africa --- leaf temperature --- infrared thermography --- thermal imagery --- tropical rain forest --- isoprenoid exchanges --- ground --- litter emissions --- soil --- Pinus pinea --- distance gradient --- Mediterranean turf --- agro-ecosystems --- biodiversity --- weed communities --- Ethiopia highlands --- seasonal climate --- crop impacts --- bananas --- Black Sigatoka Leaf Disease --- climate --- global spread &amp --- impact --- habitat suitability --- species distribution --- conservation --- P. africana --- actual evapotranspiration --- modified Penman–Monteith --- sap flow --- scaling methods --- allometric correlations --- sapwood depth --- sapwood area --- leaf area index --- species distribution model --- scenarios --- GIS --- ecological niche --- grapevine --- n/a --- Taylor's power law --- modified Penman-Monteith

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

"A survey of the criticality hypothesis which imports theory from physics to understand the brain and could be a grand unifying theory of the brain at a time when neuroscience is dominated by data"--

Neurosciences --- Cryogenics --- Neural networks & fuzzy systems --- Critical point --- Phase transition --- Cortex --- Neuronal avalanche --- Power law --- Homeostasis --- Optimality --- Universality --- Epilepsy --- Neural network --- Computational neuroscience --- Neuroscience --- Information theory --- Electrophysiology. --- Cerebral cortex. --- Brain. --- Neurology. --- SCIENCE / Life Sciences / Neuroscience --- SCIENCE / Physics / General --- COMPUTERS / Data Science / Neural Networks --- Medicine --- Nervous system --- Neuropsychiatry --- Cerebrum --- Mind --- Central nervous system --- Head --- Brain mantle --- Cortex, Cerebral --- Cortex cerebri --- Mantle of brain --- Pallium (Brain) --- Telencephalon --- Diseases