Why a text on neuroscience and Christian formation? Simply put, we need one that represents the range of possible intersections for today and into the future. In recent years, neuroscience's various fields of study have influenced our understanding of theperson, memory, learning, development, communal interaction, and the practice of education. The book serves as an introductory textbook for Christian education/formation professors to use in Christian education or Christian formation courses at the College or Seminary level. The book is designed to provide an overview of how current research in neuroscience is impacting how we view Christian education and formation with particular attention given to faith formation, teaching, development, and worship The first four chapters discuss how neuroscience broadly influences Christian education and formation. Chapters five through eight explore how neuroscience informs specific formational practices, from personal meditation, to intercultural encounter, to congregational formation and worship. The last four chapters explore various aspects of neuroscience along developmental lines, The book also moves from conceptual overviews to more empirical studies late in the text. Each chapter of this book canalso be read and discussed individually. Each author has provided both discussion topics, suggestions for future reading within neuroscience, and discussion questions at the end of the chapter.

A renowned grief expert and neuroscientist shares groundbreaking discoveries about what happens in our brain when we grieve, providing a new paradigm for understanding love, loss, and learning.

In The Grieving Brain, neuroscientist and psychologist Mary-Frances O’Connor, PhD, gives us a fascinating new window into one of the hallmark experiences of being human. O’Connor has devoted decades to researching the effects of grief on the brain, and in this book, she makes cutting-edge neuroscience accessible through her contagious enthusiasm, and guides us through how we encode love and grief. With love, our neurons help us form attachments to others; but, with loss, our brain must come to terms with where our loved ones went, or how to imagine a future without them.

The Grieving Brain addresses:

• Why it’s so hard to understand that a loved one has died and is gone forever
• Why grief causes so many emotions—sadness, anger, blame, guilt, and yearning
• Why grieving takes so long
• The distinction between grief and prolonged grief
• Why we ruminate so much after we lose a loved one
• How we go about restoring a meaningful life while grieving

Based on O’Connor’s own trailblazing neuroimaging work, research in the field, and her real-life stories, The Grieving Brain combines storytelling, accessible science, and practical knowledge that will help us better understand what happens when we grieve and how to navigate loss with more ease and grace.

Information molecules, such as Cortico-Releasing Factor (CRF), are ancient and widely distributed across diverse organs, playing various regulatory roles. CRF has been associated with a range of human conditions, including fear and anxiety, social contact, and most recently, addiction - in particular the euphoric feelings associated with alcohol consumption. Since its original discovery, research has unearthed that the role of this molecule is much broader than first thought. The scientific community now knows that CRF is a dynamic and diversely widespread peptide hormone that plays many roles and has many functions, in addition to its role as a releasing factor in the brain. This book explores the role of CRF, examining the relationship between location and function. It considers recurrent features that are linked to CRF - movement and change. CRF expression in regions of the brain is tied to paying attention to novel events and invoking movement in response to those events. Indeed, CRF provokes simple organized rhythmic behavior and can be mobilized under diverse conditions, including adversity. Examining the evolutionary origins of CRH, its neural functions, and its role in a variety of human characteristics and social behaviors, this book provides unique insights into CRF, and will be of interest to students and researchers in Neuroscience, Psychology, and Biology.

Epidemiology of Brain and Spinal Tumors provides a single volume resource on imaging methods and neuroepidemiology of both brain and spinal tumors. The book covers a variety of imaging techniques, including computed tomography (CT), MRI, positron emission tomography (PET), and other laboratory tests used in diagnosis and treatment. Detailed epidemiology, various imaging methods, and clinical considerations of tumors of the CNS make this an ideal reference for users who will also find diverse information about structures and functions, cytology, epidemiology (including molecular epidemiology), diagnosis and treatment. This book is appropriate for neuroscience researchers, medical professionals and anyone interested in a complete guide to visualizing and understanding CNS tumors.

Retinal Computation summarizes current progress in defining the computations performed by the retina, also including the synaptic and circuit mechanisms by which they are implemented. Each chapter focuses on a single retinal computation that includes the definition of the computation and its neuroethological purpose, along with the available information on its known and unknown neuronal mechanisms. All chapters contain end-of-chapter questions associated with a landmark paper, as well as programming exercises. This book is written for advanced graduate students, researchers and ophthalmologists interested in vision science or computational neuroscience of sensory systems. While the typical textbook's description of the retina is akin to a biological video camera, the real retina is actually the world's most complex image processing machine. As part of the central nervous system, the retina converts patterns of light at the input into a rich palette of representations at the output. The parallel streams of information in the optic nerve encode features like color, contrast, orientation of edges, and direction of motion. Image processing in the retina is undeniably complex, but as one of the most accessible parts of the central nervous system, the tools to study retinal circuits with unprecedented precision are up to the task. This book provides a practical guide and resource about the current state of the field of retinal computation. Editorial Reviews: "...this book is also a unique overview of our current understanding of the why and the how of retinal computation and there is something here for anyone with a grounding in vision science who recognises that there is more to what the retina does than... meets the eye." -- Prof Steven Dakin, New Zealand Optics, May 28, 2022. "I want to commend Dr. Schwartz for assembling this incredible resource and strongly recommend Retinal Computation to everyone who is a student of vision. The vast majority of modern topics in retina are covered yet in a fashion that is clear, and concise. The book covers the cellular and circuit basis of computations ranging from those covered by most textbooks, such as center-surround receptive field or direction selectivity , to those you probably do not associated with the retina such as "motion anticipation" and "threat detection". Each chapter is self-contained, meaning you can easily "pick and choose" the topics. A quick perusal of the chapter titles are almost certainly going to pique your interest. For example, you may know that the retina has single photon sensitivity but do you know "How many photons does it take to create a percept"? (Chapter 1). How does the retina encode texture (i.e. spatial fluctuations within the receptive field)? (Chapter 7). Is object motion sensitivity related to Direction selectivity? (Chapter 12). The list goes on. This book will also serve as a great resource for those teaching advanced undergraduate or graduate level vision courses for students with backgrounds in experimental or computational vision science. Each chapter contains what Dr. Schwartz's considers a "landmark paper" in the field, with a set of questions that can be used as a guide for reading these papers. And finally he includes programming exercises that can be easily implemented in Matlab to address basic concepts introduced in the chapter. The instructions are detailed so that even those new to Matlab will be able to implement these exercises these straightforward. It is this combination - textbook chapter + primary literature + quantitative exercises that will solidify these concepts. There are many vision science topics not covered in the book. For example, there is little on retinal disease or development. But these limitations are far outweighed by where the book succeeds. The vast majority of the book is written by Dr. Schwartz, giving it a uniformity that is welcome. Despite tackling quite modern questions where there is ongoing progress, Dr.Schwartz has extracted what are key findings that are likely to stand the test of time. And finally, it is really interesting! For those who think that the retina is "solved", think again. Retinal computations is a fantastic way for all circuit neuroscientist to learn how much computations can be achieved with very few synapses." -- Marla B. Feller, Ph. D., Paul Licht Distinguished Professor in Biological Sciences, Division of Neurobiology, Department of Molecular and Cell Biology & Helen Wills Neuroscience Institute University of California, Berkeley "This fantastic new textbook from a rising star in the field clearly and thoroughly updates our picture of what the retina computes. It is detailed enough for senior researchers but also pedagogical, providing a go-to reference for students. The illustrations within the text and for the chapter headings are both beautiful and informative." -- Stephanie E. Palmer, Ph.D., Associate Professor, Department of Organismal Biology and Anatomy, Department of Physics, University of Chicago "This book summarizes the impressive recent progress in understanding how visual computations are performed by retinal circuits. The book is an important resource not only for retinal experts, but more generally for anyone seeking to explain how the brain works at the level of neural circuits. Greg Schwartz and his co-authors have made a major contribution to the field." -- Sebastian Seung, Anthony B. Evnin '62 Professor, Neuroscience Institute and Computer Science Dept., Princeton University "This is a wonderful book from a true expert in the retina field. It is a fantastic resource for researchers, lecturers, and students alike. The book nicely covers the many facets of how the retina processes the visual input that enters the eye. Despite the richness in material, the presentation manages to stay accessible and always connects back to fundamental questions of visual processing. Each chapter by itself is a great entry point into a particular area of how the neural network of the retina deals with a specific set of visual challenges. I have thoroughly enjoyed this wonderful overview of retinal computation, served on a silver platter, and I will use the book both as background material for research and as a resource for teaching. I particularly like the sets of exercises that conclude each chapter." -- Dr. Tim Gollisch, Professor for Sensory Processing in the Retina, Department of Ophthalmology, University Medical Center Goettingen

Cerebral Dural Arteriovenous Fistulas serves as an authoritative, comprehensive resource for these vascular lesions, describing their anatomy, diagnosis, natural history, and thorough treatment options. Rooted in well-illustrated anatomy and depictions of dAVFs, readers can better understand their pathophysiology, historical discovery, and avenues for treatment, including embolization, surgery, and radiosurgery. Imaging modalities are also discussed extensively as well as the management of these lesions. This reference is appropriate for neurosurgeons, neurologists, interventional radiologists and intensivists that manage these patients, providing clarity, and at the same time, comprehensiveness.

Gut Microbiota in Neurologic and Visceral Diseases presents readers with comprehensive information on the involvement of microbiota in the pathogenesis of neurological disorders. Chapters cover the effect of microbiota on the development of visceral (obesity, type 2 diabetes, heart disease) and neurological disorders (Alzheimer's disease, Parkinson's, depression, anxiety, and autism). Sections focus on the molecular mechanisms and signal transduction processes associated with the links among microbiota-related visceral and neurological disorders. It is hoped that this discussion will not only integrate and consolidate knowledge in this field but will also jumpstart more studies on the involvement of microbiota in the pathogenesis of neurological disorders.

The Molecular Immunology of Neurological Diseases provides a comprehensive review of current updates in molecular immunogenetics of different neurological diseases. Readers will learn about the role of immune cells and their modulation strategies to help in the development of therapeutic approaches for both acute and chronic neurodegenerative disorders. There is no other book available on the topic. It has long been thought that the brain is an immune-privilege organ with very limited immune response. However recent studies have made clear that both systemic 'brain' and peripheral 'blood' immune cell responses play key roles in determining brain pathology in neurodegenerative disorders. This book summarizes the role of immune cell activation in the central nervous system microenvironment in acute and chronic neurodegenerative disorders. In addition, it discusses the key role of immune cells and their modulation strategies for the development of current therapeutic approaches.

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.

Stroke Rehabilitation: Insights from Neuroscience and Imaging informs and challenges neurologists, rehabilitation therapists, imagers, and stroke specialists to adopt more restorative and scientific approaches to stroke rehabilitation based on new evidence from neuroscience and neuroimaging literatures. The fields of cognitive neuroscience and neuroimaging are advancing rapidly and providing new insights into human behavior and learning. Similarly, improved knowledge of how the brain processes information after injury and recovers over time is providing new perspectives on what can be achieved through rehabilitation.
Stroke Rehabilitation explores the potential to shape and maximize neural plastic changes in the brain after stroke from a multimodal perspective. Active skill based learning is identified as a central element of a restorative approach to rehabilitation. The evidence behind core learning principles as well as specific learning strategies that have been applied to retrain lost functions of movement, sensation, cognition and language are also discussed. Current interventions are evaluated relative to this knowledge base and examples are given of how active learning principles have been successfully applied in specific interventions. The benefits and evidence behind enriched environments is reviewed with examples of potential application in stroke rehabilitation. The capacity of adjunctive therapies, such as transcranial magnetic stimulation, to modulate receptivity of the damaged brain to benefit from behavioral interventions is also discussed in the context of this multimodal approach. Focusing on new insights from neuroscience and imaging, the book explores the potential to tailor interventions to the individual based on viable brain networks.
This book is intended for clinicians, rehabilitation specialists and neurologists who are interested in using these new discoveries to achieve more optimal outcomes. Equally as important, it is intended for neuroscientists, clinical researchers, and imaging specialists to help frame important clinical questions and to better understand the context in which their discoveries may be used.

This book describes methods for statistical brain imaging data analysis from both the perspective of methodology and from the standpoint of application for software implementation in neuroscience research. These include those both commonly used (traditional established) and state of the art methods. The former is easier to do due to the availability of appropriate software. To understand the methods it is necessary to have some mathematical knowledge which is explained in the book with the help of figures and descriptions of the theory behind the software. In addition, the book includes numerical examples to guide readers on the working of existing popular software. The use of mathematics is reduced and simplified for non-experts using established methods, which also helps in avoiding mistakes in application and interpretation. Finally, the book enables the reader to understand and conceptualize the overall flow of brain imaging data analysis, particularly for statisticians and data-scientists unfamiliar with this area. The state of the art method described in the book has a multivariate approach developed by the authors' team. Since brain imaging data, generally, has a highly correlated and complex structure with large amounts of data, categorized into big data, the multivariate approach can be used as dimension reduction by following the application of statistical methods. The R package for most of the methods described is provided in the book. Understanding the background theory is helpful in implementing the software for original and creative applications and for an unbiased interpretation of the output. The book also explains new methods in a conceptual manner. These methodologies and packages are commonly applied in life science data analysis. Advanced methods to obtain novel insights are introduced, thereby encouraging the development of new methods and applications for research into medicine as a neuroscience.

As a graduate student at MIT, Steve Ramirez successfully created false memories in the lab. Now, as a neuroscientist working at the frontiers of brain science, he foresees a future where we can replace our negative memories with positive ones. In How to Change a Memory, Ramirez draws on his own memories of friendship, family, loss and recovery to reveal how memory can be turned on and off like a switch, edited and even constructed from nothing.

A future in which we can change our memories of the past may seem improbable, but in fact, the everyday act of remembering is one of transformation. Intentionally editing memory to improve our lives takes advantage of the brain's natural capacity for change.

Ramirez explores how scientists discovered that memories are fluid - they change over time, can be erased, reactivated and even falsely implanted in the lab. Reflecting on his own path as a scientist, he examines how memory manipulation shapes our imagination and sense of self. If we can erase a deeply traumatic memory, would it change who we are? And what would that change mean anyway? Throughout, Ramirez carefully considers the ethics of artificially controlling memory, exploring how we might use this tool responsibly - for both personal healing and the greater good.

A masterful blend of memoir and cutting-edge science, How to Change a Memory explores how neuroscience has reached a critical juncture, where scientists can see the potential of memory manipulation to help people suffering from the debilitating effects of PTSD, anxiety, Alzheimer's, addiction and a host of other neurological and behavioral disorders.

Neurology of Vision and Visual Disorders, Volume 178 in the Handbooks of Neurology series provides comprehensive summaries of recent research on the brain and nervous system. This volume reviews alterations in vision that stem from the retina to the cortex. Coverage includes content on vision and driving derived from the large amount of time devoted in clinics to determining who is safe to drive, along with research on the interplay between visual loss, attention and strategic compensations that may determine driving suitability. The title concludes with vision therapies and the evidence behind these approaches. Each chapter is co-written by a basic scientist collaborating with a clinician to provide a solid underpinning of the mechanisms behind the clinical syndromes.

It's a Jungle in There pursues the hypothesis that the overarching theory of biology, Darwin's theory, should be the overarching theory of cognitive psychology. Taking this approach, David Rosenbaum, a cognitive psychologist and former editor of the Journal of Experimental Psychology: Human Perception and Performance, proposes that the phenomena of cognitive psychology can be understood as emergent interactions among dumb neural elements all competing and cooperating in a kind of inner jungle. Rosenbaum suggests that this perspective allows for the presentation of cognitive psychology in a new way, both for students (for whom the book is mainly intended) and for seasoned investigators (who may be looking for a fresh way to approach and understand their material). Rather than offering cognitive psychology as a rag-tag collection of miscellaneous facts, as has generally been the case in cognitive-psychology textbooks, this volume presents cognitive psychology under a single rubric: "It's a jungle in there." Written in a light-hearted way with continual reference to hypothetical neural creatures eking out their livings in a tough environment, this text is meant to provide an over-arching principle that can motivate more in-depth study of the mind and brain.

In recent years, music theorists have been increasingly eager to incorporate findings from the science of human cognition and linguistics into their methodology. In the culmination of a vast body of research undertaken since his influential and award-winning Conceptualizing Music (OUP 2002), Lawrence M. Zbikowski puts forward Foundations of Musical Grammar, an ambitious and broadly encompassing account on the foundations of musical grammar based on our current understanding of human cognitive capacities. Musical grammar is conceived of as a species of construction grammar, in which grammatical elements are form-function pairs. Zbikowski proposes that the basic function of music is to provide sonic analogs for dynamic processes that are important in human cultural interactions. He focuses on three such processes: those concerned with the emotions, the spontaneous gestures that accompany speech, and the patterned movement of dance. Throughout the book, Zbikowski connects cognitive research with music theory for an interdisciplinary audience, presenting detailed musical analyses and summaries of the basic elements of musical grammar.

Although scientists have discovered many fundamental physiological and behavioral mechanisms that comprise the stress response, most of current knowledge is based on laboratory experiments using domesticated or captive animals. Scientists are only beginning, however, to understand how stress impacts wild animals - by studying the nature of the stressful stimuli that animals in their natural environments have adapted to for survival, and what the mechanisms that allow that survival might be. This book summarizes, for the first time, several decades of work on understanding stress in natural contexts. The aim is two-fold. The first goal of this work is to place modern stress research into an evolutionary context. The stress response clearly did not evolve to cause disease, so that studying how animals use the stress response to survive in the wild should provide insight into why mechanisms evolved the way that they did. The second goal is to provide predictions on how wild animals might cope with the Anthropocene, the current period of Earth's history characterized by the massive human remodeling of habitats on a global scale. Conservation of species will rely upon how wild animals use their stress response to successfully cope with human-created stressors.

This volume presents articles from the leading experts in the field in nanobiotechnology, providing students and researchers with a comprehensive review of the newly emerging area of neuroscience.

All aspects of nanomaterials induced alteration in brain function are considered. Basic chapters on methods and ways to enhance nano-drug delivery into the brain are presented as well as chapters on functional and structural changes in the CNS, including gene expression and related issues. Particular attention is given to possible therapeutic advancement regarding nano-drug formulation and their role in neuroprotection.

Oxidative Stress and Dietary Antioxidants in Neurological Diseases provides an overview of oxidative stress in neurological diseases and associated conditions, including behavioral aspects and the potentially therapeutic usage of natural antioxidants in the diet. The processes within the science of oxidative stress are described in concert with other processes, such as apoptosis, cell signaling, and receptor mediated responses. This approach recognizes that diseases are often multifactorial and oxidative stress is a single component of this. The book examines basic processes of oxidative stress-from molecular biology to whole organs-relative to cellular defense systems, and across a range of neurological diseases. Sections discuss antioxidants in foods, including plants and components of the diet, examining the underlying mechanisms associated with therapeutic potential and clinical applications. Although some of this material is exploratory or preclinical, it can provide the framework for further in-depth analysis or studies via well-designed clinical trials or the analysis of pathways, mechanisms, and components in order to devise new therapeutic strategies. Very often oxidative stress is a feature of neurological disease and associated conditions which either centers on or around molecular and cellular processes. Oxidative stress can also arise due to nutritional imbalance during a spectrum of timeframes before the onset of disease or during its development.

A familiar trope of cognitive science, linguistics, and the philosophy of psychology over the past forty or so years has been the idea of the mind as a modular system-that is, one consisting of functionally specialized subsystems responsible for processing different classes of input, or handling specific cognitive tasks like vision, language, logic, music, and so on. However, one of the major achievements of neuroscience has been the discovery that the brain has incredible powers of renewal and reorganization. This "neuroplasticity," in its various forms, has challenged many of the orthodox conceptions of the mind which originally led cognitive scientists to postulate hardwired mental modules. This book examines how such discoveries have changed the way we think about the structure of the mind. It contends that the mind is more supple than prevailing theories in cognitive science and artificial intelligence acknowledge. The book uses language as a test case. The claim that language is cognitively special has often been understood as the claim that it is underpinned by dedicated-and innate-cognitive mechanisms. Zerilli offers a fresh take on how our linguistic abilities could be domain-general: enabled by a composite of very small and redundant cognitive subsystems, few if any of which are likely to be specialized for language. In arguing for this position, however, the book takes seriously various cases suggesting that language dissociates from other cognitive faculties. Accessibly written, The Adaptable Mind is a fascinating account of neuroplasticity, neural reuse, the modularity of mind, the evolution of language, and faculty psychology.

Synapse Development and Maturation, the latest release in the Comprehensive Developmental Neuroscience series, presents the latest information on the genetic, molecular and cellular mechanisms of neural development. The book provides a much-needed update that underscores the latest research in this rapidly evolving field, with new section editors discussing the technological advances that are enabling the pursuit of new research on brain development. This volume focuses on the synaptogenesis and developmental sequences in the maturation of intrinsic and synapse-driven patterns.

An AGI Brain for a Robot is the first and only book to give a detailed account and practical demonstration of an Artificial General Intelligence (AGI). The brain is to be implemented in fast parallel hardware and embodied in the head of a robot moving in the real world. Associative learning is shown to be a powerful technique for novelty seeking, language learning, and planning. This book is for neuroscientists, robot designers, psychologists, philosophers and anyone curious about the evolution of the human brain and its specialized functions. The overarching message of this book is that an AGI, as the brain of a robot, is within our grasp and would work like our own brains. The featured brain, called PP, is not a computer program. Instead, PP is a collection of networks of associations built from J. A. Fodor's modules and the author's groups. The associations are acquired by intimate interaction between PP in its robot body and the real world. Simulations of PP in one of two robots in a simple world demonstrate PP learning from the second robot, which is under human control. "Both Professor Daniel C. Dennett and Professor Michael A. Arbib independently likened the book 'An AGI Brain for a Robot' to Valentino Braitenberg's 1984 book 'Vehicles: Experiments in Synthetic Psychology'." Daniel C. Dennett, Professor of Philosophy and Director of Center for Cognitive Studies, Tufts University. Author of "From Bacteria to Bach and Back: The Evolution of Minds." "Michael Arbib, a long time expert in brain modeling, observed that sometimes a small book can catch the interest of readers where a large book can overwhelm and turn them away. He noted, in particular, the success of Valentino Braitenberg's 'Vehicles' (for which he wrote the foreword). At a time of explosive interest in AI, he suggests that PP and its antics may be just the right way to ease a larger audience into thinking about the technicalities of creating general artificial intelligence." Michael A Arbib, Professor Emeritus of Computer Science, Biomedical Engineering, Biological Sciences and Psychology, University of Southern California. Author of "How the Brain Got Language". "Robots seem to increasingly invade our lives, to the point that sometimes seems threatening and other-worldly. In this small book, John Andreae shows some of the basic principles of robotics in ways that are entertaining and easily understood, and touch on some of the basic questions of how the mind works." Michael C. Corballis, Professor of Psychology, University of Auckland. Author of "The Recursive Mind". "A little book that punches far beyond its weight." Nicholas Humphrey, Emeritus Professor of Psychology, London School of Economics. Author of "Soul Dust: The Magic of Consciousness". "A bold and rich approach to one of the major challenges for neuroscience, robotics and philosophy. Who will take up Andreae's challenge and implement his model?" Matthew Cobb, Professor of Zoology, University of Manchester. Author of "The Idea of the Brain". "Here is a book that could change the direction of research into artificial general intelligence in a very productive and profitable way. It describes a radical new theory of the brain that goes some way towards answering many difficult questions concerning learning, planning, language, and even consciousness. Almost incredibly, the theory is operational, and expressed in a form that could-and should-inspire future, novel, research in AI that transcends existing paradigms." Ian H. Witten, Professor of Computer Science, Waikato University. Author with Eibe Frank of "Data Mining: Practical Machine Learning Tools and Techniques".