Download or read book Correlations and Connectivity written by Harry Eugene Stanley and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the NATO Advanced Study Institute on Propagation of Correlations in Constrained Systems, Cargèse, Corsica, France, July 2-14, 1990
Download or read book Spurious Correlations written by Tyler Vigen and published by Hachette Books. This book was released on 2015-05-12 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Spurious Correlations ... is the most fun you'll ever have with graphs."--Bustle Military intelligence analyst and Harvard Law student Tyler Vigen illustrates the golden rule that "correlation does not equal causation" through hilarious graphs inspired by his viral website. Is there a correlation between Nic Cage films and swimming pool accidents? What about beef consumption and people getting struck by lightning? Absolutely not. But that hasn't stopped millions of people from going to tylervigen.com and asking, "Wait, what?" Vigen has designed software that scours enormous data sets to find unlikely statistical correlations. He began pulling the funniest ones for his website and has since gained millions of views, hundreds of thousands of likes, and tons of media coverage. Subversive and clever, Spurious Correlations is geek humor at its finest, nailing our obsession with data and conspiracy theory.
Download or read book Visualizing Data written by Ben Fry and published by "O'Reilly Media, Inc.". This book was released on 2008 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides information on the methods of visualizing data on the Web, along with example projects and code.
Download or read book Correlated neuronal activity and its relationship to coding dynamics and network architecture written by Tatjana Tchumatchenko and published by Frontiers E-books. This book was released on 2014-12-03 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Correlated activity in populations of neurons has been observed in many brain regions and plays a central role in cortical coding, attention, and network dynamics. Accurately quantifying neuronal correlations presents several difficulties. For example, despite recent advances in multicellular recording techniques, the number of neurons from which spiking activity can be simultaneously recorded remains orders magnitude smaller than the size of local networks. In addition, there is a lack of consensus on the distribution of pairwise spike cross correlations obtained in extracellular multi-unit recordings. These challenges highlight the need for theoretical and computational approaches to understand how correlations emerge and to decipher their functional role in the brain.
Download or read book Brain Connectivity in Autism written by Rajesh K. Kana and published by Frontiers E-books. This book was released on 2014-09-23 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Correlations and Connectivity written by Harry Eugene Stanley and published by . This book was released on 1965-01-01 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Functional Connectivity An Issue of Neuroimaging Clinics of North America written by Jay J. Pillai and published by Elsevier Health Sciences. This book was released on 2017-10-11 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of Neuroimaging Clinics of North America focuses on Functional Connectivity, and is edited by Dr. Jay Pillai. Articles will include: Applications of rs-fMRI to presurgical mapping: sensorimotor mapping; Dynamic functional connectivity methods; Machine learning applications to rs-fMRI analysis; Frequency domain analysis of rs-fMRI; Applications of rs-fMRI to epilepsy; Data-driven analysis methods for rs-fMRI; Applications of rs-fMRI to presurgical mapping: language mapping; Limitations of rs-fMRI in the setting of focal brain lesions; Applications of rs-fMRI to neuropsychiatric disease; Applications of rs-fMRI to Traumatic Brain Injury; Applications of rs-fMRI to neurodegenerative disease; Graph theoretic analysis of rs-fMRI; and more!
Download or read book Advances in Mathematical Chemistry and Applications written by Subhash C. Basak and published by Bentham Science Publishers. This book was released on 2015-10-10 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Advances in Mathematical Chemistry and Applications, Volume 1" highlights the emerging discipline of mathematical chemistry, or, more precisely, discrete mathematical chemistry. This Volume is written by internationally renowned experts in the field. It comprises of a wise integration of mathematical and chemical concepts and covers numerous applications in the field of drug discovery, bioinformatics, chemoinformatics, computational biology and ecological health. The contents of this book include chapters on mathematical structural descriptors of molecules and biomolecules, topological representation of molecular structure, connectivity matrices, use of weighted 2D Fingerprints in similarity-based virtual screening and much more. This ebook is a valuable resource for MSc and PhD students, academic personnel and researchers seeking updated and critically important information on the fundamental concepts of mathematical chemistry and their applications.
Download or read book Correlation based network analysis of cancer metabolism written by Emily G. Armitage and published by Springer. This book was released on 2014-05-12 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rise of systems biology as an approach in biochemistry research, using high throughput techniques such as mass spectrometry to generate metabolic profiles of cancer metabolism is becoming increasingly popular. There are examples of cancer metabolic profiling studies in the academic literature; however they are often only in journals specific to the metabolomics community. This book will be particularly useful for post-graduate students and post-doctoral researchers using this pioneering technique of network-based correlation analysis. The approach can be adapted to the analysis of any large scale metabolic profiling experiment to answer a range of biological questions in a range of species or for a range of diseases.
Download or read book PET and SPECT in Neurology written by Rudi A. J. O. Dierckx and published by Springer Nature. This book was released on 2020-10-20 with total page 1270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the use of PET and SPECT in not only classic neurodegenerative disorders but also cerebrovascular disorders, brain tumors, epilepsy, head trauma, coma, sleeping disorders, and inflammatory and infectious diseases of the CNS. The new edition has been revised and updated to reflect recent advances and includes additional chapters, for example on the use of artificial intelligence and machine learning in imaging data analysis, the study of brain connectivity using PET and SPECT images, and the role of PET imaging in modulation of brain functioning by deep brain stimulation. The authors are renowned experts whose dedication to the investigation of neurological disorders through nuclear medicine technology has achieved international recognition. Most chapters are written jointly by a clinical neurologist and a nuclear medicine specialist to ensure a multidisciplinary approach. This state of the art compendium will be invaluable for neurologists and radiologists/nuclear medicine specialists and will also be informative for interested general practitioners and geriatricians. Companion volumes on PET and SPECT in psychiatry and in neurobiological systems complete a trilogy.
Download or read book At Risk Mental States Precision Medicine and Early Biomarkers in Mental Illnesses written by Panteleimon Giannakopoulos and published by Frontiers Media SA. This book was released on 2021-06-23 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Network Neuroscience written by Flavio Fröhlich and published by Academic Press. This book was released on 2016-09-20 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studying brain networks has become a truly interdisciplinary endeavor, attracting students and seasoned researchers alike from a wide variety of academic backgrounds. What has been lacking is an introductory textbook that brings together the different fields and provides a gentle introduction to the major concepts and findings in the emerging field of network neuroscience. Network Neuroscience is a one-stop-shop that is of equal use to the neurobiologist, who is interested in understanding the quantitative methods employed in network neuroscience, and to the physicist or engineer, who is interested in neuroscience applications of mathematical and engineering tools. The book spans 27 chapters that cover everything from individual cells all the way to complex network disorders such as depression and autism spectrum disorders. An additional 12 toolboxes provide the necessary background for making network neuroscience accessible independent of the reader’s background. Dr. Flavio Frohlich (www.networkneuroscientist.org) wrote this book based on his experience of mentoring dozens of trainees in the Frohlich Lab, from undergraduate students to senior researchers. The Frohlich lab (www.frohlichlab.org) pursues a unique and integrated vision that combines computer simulations, animal model studies, human studies, and clinical trials with the goal of developing novel brain stimulation treatments for psychiatric disorders. The book is based on a course he teaches at UNC that has attracted trainees from many different departments, including neuroscience, biomedical engineering, psychology, cell biology, physiology, neurology, and psychiatry. Dr. Frohlich has consistently received rave reviews for his teaching. With this book he hopes to make his integrated view of neuroscience available to trainees and researchers on a global scale. His goal is to make the book the training manual for the next generation of (network) neuroscientists, who will be fusing biology, engineering, and medicine to unravel the big questions about the brain and to revolutionize psychiatry and neurology. Easy-to-read, comprehensive introduction to the emerging field of network neuroscience Includes 27 chapters packed with information on topics from single neurons to complex network disorders such as depression and autism Features 12 toolboxes serve as primers to provide essential background knowledge in the fields of biology, mathematics, engineering, and physics
Download or read book Models of Neural Networks written by Eytan Domany and published by Springer Science & Business Media. This book was released on 1994 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory of neural nets has two new paradigms: information coding through coherent firing of the neurons and structural feedback. As compared to traditional neural nets, spiking neurons provide an extra degree of freedom: time; this degree of freedom is realized by a coherent spiking of extensively many neurons in the network, a nonlinear phenomenon. The other paradigm, feedback, is a dominant feature of the structural organization of the brain. This volume provides an in-depth analysis of both paradigms starting with an extensive introduction to the ideas used in the subsequent chapters. In addition, one finds a detailed discussion of salient features such as coherent oscillations and their detection, associative binding and segregation, Hebbian learning, and sensory computations in the visual and olfactory cortex. The style and level of this book make it particularly useful for advanced students and researchers looking for an accessible survey of today's theory of neuronal networks.
Download or read book Chemical Property Estimation written by Edward Baum and published by CRC Press. This book was released on 2018-05-11 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our world is widely contaminated with damaging chemicals, and companies create thousands of new, potentially dangerous chemicals each year. Due to the difficulty and expense of obtaining accurate measurements and the unreliability of reported values, we know surprisingly little about the properties of these contaminants. Determining the properties of chemicals is critical to judging their impact on environmental quality and in making decisions about emission rates, clean-up, and other important public health issues. Chemical Property Estimation describes modern methods of estimating chemical properties, methods which cost much less than traditional laboratory techniques and are sufficiently accurate for most environmental applications. Estimation methods are used to screen chemicals for testing, design monitoring and analysis methods, design clean-up procedures, and verify experimental measurements. The book discusses key methods for estimating chemical properties and considers their relative strengths and weaknesses. Several chapters are devoted to the partitioning of chemicals between air, water, soil, and biota; and properties such as solubility, vapor pressure, and chemical transport. Each chapter begins with a review of relevant theory and background information explaining the applications and limitations of each method. Sample calculations and practical advice on how and when to use each method are included as well. Each method is evaluated for accuracy and reliability. Computer software, databases, and internet resources are evaluated, as well as other supplementary material, such as fundamental constants, units of measure, and more.
Download or read book Epilepsy Editor s Pick 2021 written by Fernando Cendes and published by Frontiers Media SA. This book was released on 2021-08-19 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Student s Guide to Social Neuroscience written by Jamie Ward and published by Psychology Press. This book was released on 2016-12-14 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social neuroscience is a rapidly growing field which explains, using neural mechanisms, our ability to recognize, understand, and interact with others. Concepts such as trust, revenge, empathy, prejudice, and love are now being explored and unravelled by neuroscientists. This engaging and cutting-edge text provides an accessible introduction to the complex methods and concepts of social neuroscience, with examples from contemporary research and a blend of different pedagogical features helping students to engage with the material, including essay questions, summary and key points, and further reading suggestions. The second edition of this ground-breaking text has been thoroughly revised and expanded to reflect the growing volume of evidence and theories in the field. Notable additions include a greater emphasis on genetics and hormones, and the expansion of topics such as cultural neuroscience, emotion regulation, biological markers of autism, power and status, social categorization, and new accounts of mirror neuron functioning. The book is supported by a fully updated companion website, featuring student resources including lecture recordings, multiple choice questions and useful web links, as well as PowerPoint slides for lecturers. Richly illustrated in attractive full-color, with figures, boxes, and ‘real-world’ implications of research, this text is the ideal introduction to the field for both undergraduate and postgraduate students in fields such as psychology and neuroscience.
Download or read book Discriminating Data written by Wendy Hui Kyong Chun and published by MIT Press. This book was released on 2021-11-02 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: How big data and machine learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible. Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates—groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data.
