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Neural Connectomics Challenge
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Book Synopsis Neural Connectomics Challenge by : Demian Battaglia
Download or read book Neural Connectomics Challenge written by Demian Battaglia and published by Springer. This book was released on 2017-05-04 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book illustrates the thrust of the scientific community to use machine learning concepts for tackling a complex problem: given time series of neuronal spontaneous activity, which is the underlying connectivity between the neurons in the network? The contributing authors also develop tools for the advancement of neuroscience through machine learning techniques, with a focus on the major open problems in neuroscience. While the techniques have been developed for a specific application, they address the more general problem of network reconstruction from observational time series, a problem of interest in a wide variety of domains, including econometrics, epidemiology, and climatology, to cite only a few. divThe book is designed for the mathematics, physics and computer science communities that carry out research in neuroscience problems. The content is also suitable for the machine learning community because it exemplifies how to approach the same problem from different perspectives./divdivbr/divdivbr
Book Synopsis Micro-, Meso- and Macro-Connectomics of the Brain by : Henry Kennedy
Download or read book Micro-, Meso- and Macro-Connectomics of the Brain written by Henry Kennedy and published by Springer. This book was released on 2016-03-10 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Discovering the Human Connectome by : Olaf Sporns
Download or read book Discovering the Human Connectome written by Olaf Sporns and published by MIT Press. This book was released on 2012-09-07 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: A pioneer in the field outlines new empirical and computational approaches to mapping the neural connections of the human brain. Crucial to understanding how the brain works is connectivity, and the centerpiece of brain connectivity is the connectome, a comprehensive description of how neurons and brain regions are connected. In this book, Olaf Sporns surveys current efforts to chart these connections—to map the human connectome. He argues that the nascent field of connectomics has already begun to influence the way many neuroscientists collect, analyze, and think about their data. Moreover, the idea of mapping the connections of the human brain in their entirety has captured the imaginations of researchers across several disciplines including human cognition, brain and mental disorders, and complex systems and networks. Discovering the Human Connectome offers the first comprehensive overview of current empirical and computational approaches in this rapidly developing field.
Book Synopsis Connectomic Deep Brain Stimulation by : Andreas Horn
Download or read book Connectomic Deep Brain Stimulation written by Andreas Horn and published by Academic Press. This book was released on 2021-09-10 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectomic Deep Brain Stimulation (DBS) covers this highly efficacious treatment option for movement disorders such as Parkinson’s Disease, Essential Tremor and Dystonia. The book examines its impact on distributed brain networks that span across the human brain in parallel with modern-day neuroimaging concepts and the connectomics of the brain. It asks several questions, including which cortical areas should DBS electrodes be connected in order to generate the highest possible clinical improvement? Which connections should be avoided? Could these connectomic insights be used to better understand the mechanism of action of DBS? How can they be transferred to individual patients, and more. This book is suitable for neuroscientists, neurologists and functional surgeons studying DBS. It provides practical advice on processing strategies and theoretical background, highlighting and reviewing the current state-of-the-art in connectomic surgery. Written to provide a "hands-on" approach for neuroscience graduate students, as well as medical personnel from the fields of neurology and neurosurgery Includes preprocessing strategies (such as co-registration, normalization, lead localization, VTA estimation and fiber-tracking approaches) Presents references (key articles, books and protocols) for additional detailed study Provides data analysis boxes in each chapter to help with data interpretation
Book Synopsis Fundamentals of Brain Network Analysis by : Alex Fornito
Download or read book Fundamentals of Brain Network Analysis written by Alex Fornito and published by Academic Press. This book was released on 2016-03-04 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. 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
Download or read book Connectome written by Sebastian Seung and published by Houghton Mifflin Harcourt. This book was released on 2012 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: The audacious effort to map the brain--and along with it mental afflictions, from autism to schizophrenia--by a rising star in neuroscience.
Book Synopsis Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 by : Marleen de Bruijne
Download or read book Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 written by Marleen de Bruijne and published by Springer Nature. This book was released on 2021-09-22 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging – others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.
Book Synopsis Discovery Science by : Carlos Soares
Download or read book Discovery Science written by Carlos Soares and published by Springer Nature. This book was released on 2021-10-08 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 24th International Conference on Discovery Science, DS 2021, which took place virtually during October 11-13, 2021. The 36 papers presented in this volume were carefully reviewed and selected from 76 submissions. The contributions were organized in topical sections named: applications; classification; data streams; graph and network mining; machine learning for COVID-19; neural networks and deep learning; preferences and recommender systems; representation learning and feature selection; responsible artificial intelligence; and spatial, temporal and spatiotemporal data.
Book Synopsis Handbook of Brain Microcircuits by : Gordon M. Shepherd
Download or read book Handbook of Brain Microcircuits written by Gordon M. Shepherd and published by Oxford University Press. This book was released on 2018 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to focus on principles, each chapter in this work is brief, organized around 1-3 wiring diagrams of the key circuits, with several pages of text that distil the functional significance of each microcircuit
Book Synopsis Changing Connectomes by : Marcus Kaiser
Download or read book Changing Connectomes written by Marcus Kaiser and published by MIT Press. This book was released on 2020-09-08 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: An up-to-date overview of the field of connectomics, introducing concepts and mechanisms underlying brain network change at different stages. The human brain undergoes massive changes during its development, from early childhood and the teenage years to adulthood and old age. Across a wide range of species, from C. elegans and fruit flies to mice, monkeys, and humans, information about brain connectivity (connectomes) at different stages is now becoming available. New approaches in network neuroscience can be used to analyze the topological, spatial, and dynamical organization of such connectomes. In Changing Connectomes, Marcus Kaiser provides an up-to-date overview of the field of connectomics and introduces concepts and mechanisms underlying brain network changes during evolution and development. Drawing on a range of results from experimental, clinical, and computational studies, Kaiser describes changes during healthy brain maturation and during brain network disorders (including such neurodevelopmental conditions as schizophrenia and depression), brain injury, and neurodegenerative disorders including dementia. He argues that brain stimulation is an area where understanding connectome development could help in assessing long-term effects of interventions. Changing Connectomes is a suitable starting point for researchers who are new to the field of connectomics, and also for researchers who are interested in the link between brain network organization and brain and cognitive development in health and disease. Matlab/Octave code examples available at the MIT Press website will allow computational neuroscience researchers to understand and extend the shown mechanisms of connectome development.
Book Synopsis Cellular Connectomics by : Moritz Helmstaedter
Download or read book Cellular Connectomics written by Moritz Helmstaedter and published by Academic Press. This book was released on 2016-01-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of cellular connectomics is technically challenging and highly multi-disciplinary, creating need for a connectomics methods volume suitable for both researchers and students aiming to gain familiarity with the field. "Cellular Connectomics "offers just that: an accessible, practical and comprehensive introduction to the fundamental principles and practices of cellular connectomics. With the bulk of the volume written by two pioneers in the field, plus 3 chapters authored by opinion leaders offering future predictions, the volume offers readers both consistent voice/uniform structure and cutting edge insights. Focusing on "cellular" connectomics with the goal of reconstructing neuronal wiring diagrams at the level of single neurons/synapses, the volume provides a conceptual overview of the goals and challenges of this methodology. The first volume to offer a step-by-step introduction to cellular connectomics suitable for both researchers and students.Coverage includes: tissue preparation, sectioning and imaging techniques, approaches for data reconstruction, circuit analysis, and an explanation of successful connectomic reconstructions to date.Offers balanced discussion what does and does not work, as well as of the current debates about whether a connectomic era is going to replace decades of functional data collection.
Download or read book Neurophenotypes written by Vinoth Jagaroo and published by Springer. This book was released on 2017-02-24 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interest in ‘biomarkers’ seen across a spectrum of biomedical disciplines reflects the rise of molecular biology and genetics. A host of ‘omics’ disciplines in addition to genomics, marked by multidimensional data and complex analyses, and enabled by bioinformatics, have pushed the trajectory of biomarker development even further. They have also made more tractable the complex mappings of genotypes to phenotypes – genome-to-phenome mapping – to which the concept of a biomarker is central. Genomic investigations of the brain are beginning to reveal spectacular associations between genes and neural systems. Neural and cognitive phenomics are considered a necessary complement to genomics of the brain. Other major omics developments such as connectomics, the comprehensive mapping of neurons and neural networks, are heralding brain maps of unprecedented detail. Such developments are defining a new era of brain science. And in this new research environment, neural systems and cognitive operations are pressed for new kinds of definitions – that facilitate brain-behavioral alignment in an omics operating environment. This volume explores the topic of markers framed around the constructs of cognitive and neural systems. ‘Neurophenotype’ is a term adopted to describe a neural or cognitive marker that can be scientifically described within an associative framework – and while the genome-to-phenome framework is the most recognized of these, epigenetics and non-gene-regulated neural dynamics also suggest other frameworks. In either case, the term neurophenotype defines operational constructs of brain-behavioral domains that serve the integration of these domains with neuroscientific and omics models of the brain. The topic is critically important to psychiatry and neuropsychology: Neurophenotypes offer a ‘format’ and a ‘language’ by which psychiatry and neuropsychology can be in step with the brain sciences. They also bring a new challenge to the clinical neurosciences in terms of construct validation and refinement. Topics covered in the volume include: Brain and cognition in the omics era Phenomics, connectomics, and Research Domain Criteria Circuit-based neurophenotypes, and complications posed by non-gene regulated factors The legacy of the endophenotype concept – its utility and limitations Various potential neurophenotypes of relevance to clinical neuroscience, including Response Inhibition, Fear Conditioning and Extinction, Error Processing, Reward Dependence and Reward Deficiency, Face Perception, and Language Phenotypes Dynamic (electrophysiological) and computational neurophenotypes The challenge of a cultural shift for psychiatry and neuropsychology The volume may be especially relevant to researchers and clinical practitioners in psychiatry and neuropsychology and to cognitive neuroscientists interested in the intersection of neuroscience with genomics, phenomics and other omics disciplines.
Book Synopsis Brain and Human Body Modeling 2020 by : Sergey N. Makarov
Download or read book Brain and Human Body Modeling 2020 written by Sergey N. Makarov and published by Springer Nature. This book was released on 2021 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 41st Annual International Conference of the IEEE EMBS, took place between July 23 and 27, 2019, in Berlin, Germany. The focus was on "Biomedical engineering ranging from wellness to intensive care." This conference provided an opportunity for researchers from academia and industry to discuss a variety of topics relevant to EMBS and hosted the 4th Annual Invited Session on Computational Human Models. At this session, a bevy of research related to the development of human phantoms was presented, together with a substantial variety of practical applications explored through simulation.
Book Synopsis Cause Effect Pairs in Machine Learning by : Isabelle Guyon
Download or read book Cause Effect Pairs in Machine Learning written by Isabelle Guyon and published by Springer Nature. This book was released on 2019-10-22 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect (“Does altitude cause a change in atmospheric pressure, or vice versa?”) is here cast as a binary classification problem, to be tackled by machine learning algorithms. Based on the results of the ChaLearn Cause-Effect Pairs Challenge, this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the possible existence of a “causal mechanism”, in the sense that the values of one variable may have been generated from the values of the other. This book provides both tutorial material on the state-of-the-art on cause-effect pairs and exposes the reader to more advanced material, with a collection of selected papers. Supplemental material includes videos, slides, and code which can be found on the workshop website. Discovering causal relationships from observational data will become increasingly important in data science with the increasing amount of available data, as a means of detecting potential triggers in epidemiology, social sciences, economy, biology, medicine, and other sciences.
Book Synopsis Bio-inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical and Industrial Fields by : Francesco Rundo
Download or read book Bio-inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical and Industrial Fields written by Francesco Rundo and published by Frontiers Media SA. This book was released on 2021-12-31 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Molecular and Clinical Pathology of Neurodegenerative Disease by : Patrick A. Lewis
Download or read book The Molecular and Clinical Pathology of Neurodegenerative Disease written by Patrick A. Lewis and published by Academic Press. This book was released on 2018-11-16 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Molecular and Clinical Pathology of Neurodegenerative Disease brings together in one volume our current understanding of the molecular basis of neurodegeneration in humans, targeted at neuroscientists and graduate students in neuroscience, and the biomedical and biological sciences. Bringing together up-to-date molecular biology data with clinical evidence, this book sheds a light on common molecular mechanisms that underlie many different neurodegenerative diseases and addresses the molecular pathologies in each. The combined research and clinical background of the authors provides a unique perspective in relating clinical experiences with the molecular understanding needed to examine these diseases and is a must-read for anyone who wants to learn more about neurodegeneration. Provides an up-to-date summary of neurodegeneration at a molecular, cellular, and tissue level for the most common human disorders Describes the clinical background and underlying molecular processes for Alzheimer’s disease, Parkinson’s, Prion, Motor Neuron, Huntington’s, and Multiple Sclerosis Highlights the state-of-the-art treatment options for each disorder Details examples of relevant cutting edge experimental systems, including genome editing and human pluripotent stem cell-derived neuronal models
Book Synopsis Ay's Neuroanatomy of C. Elegans for Computation by : Theodore B. Achacoso
Download or read book Ay's Neuroanatomy of C. Elegans for Computation written by Theodore B. Achacoso and published by CRC Press. This book was released on 1991-11-22 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: AY's Neuroanatomy of C. elegans for Computation provides the neural circuitry database of the nematode Caenorhabditis elegans, both in printed form and in ASCII files on 5.25-inch diskettes (for use on IBM® and compatible personal computers, Macintosh® computers, and higher level machines). Tables of connections among neuron classes, synapses among individual neurons, gap junctions among neurons, worm cells and their embryonic origin, and synthetically derived neuromuscular connections are presented together with the references from which the data were compiled and edited. Sample data files and source codes of FORTRAN and BASIC programs are provided to illustrate the use of mathematical tools for any researcher or student interested in examining a natural neural network and discovering what makes it tick.
