The development of a brain from its simple beginnings in the embryo to the extraordinarily complex fully-functional adult structure is a truly remarkable process. Understanding how it occurs remains a formidable challenge despite enormous advances over the last century and current intense world-wide scientific research. A greater knowledge of how nervous systems construct themselves will bring huge benefits for human health and future technologies. Unravelling the mechanisms that lead to the development of healthy brains should help scientists tackle currently incurable diseases of the nervous system such as autism, epilepsy and schizophrenia (to name but a few), discover more about the processes that cause the uncontrolled growth associated with cancer and develop possible treatments. Building Brains provides a highly visual and readily accessible introduction to the main events that occur during neural development and the mechanisms by which they occur. Aimed at undergraduate students and postgraduates new to the field, who may not have a background in neuroscience and/or molecular genetics, it explains how cells in the early embryo first become neural, how their proliferation is controlled, what regulates the types of neural cells they become, how neurons connect to each other, how these connections are later refined under the influence of neural activity including that arising from experience, and why some neurons normally die. Key Features: A concise illustrated guide focusing on the core elements of current understanding of neural development, emphasising common principles underlying developmental mechanisms and supplemented by suggestions for further reading. Text boxes throughout provide further detail on selected major advances, issues of particular uncertainty or controversy and examples of human diseases that result from abnormal development. A balanced mammalian/non-mammalian perspective, drawing on examples from model organisms including the fruit fly, nematode worm, frog, zebrafish, chick, mouse, ferret, cat, monkey and human, and emphasising mechanisms that are conserved across species. Introduces the methods for studying neural development including genetics, transgenic technologies, advanced microscopy and computational modeling, allowing the reader to understand the main evidence underlying research advances. Student-friendly, full colour artwork reinforces important concepts; an extensive glossary and definitions in page margins help readers from different backgrounds; chapter summaries stress important points and aid revision. Associated Website includes a complete set of figures from the textbook.
A Will to Believe is a revised version of Kastan's 2008 Oxford Wells Shakespeare Lectures, providing a provocative account of the ways in which religion animates Shakespeare's plays.
It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.
The enlightening, best-selling book on understanding sustainable energy and how we can make energy plans that add up. If you've ever wondered how much energy we use, and where it comes from – and where it could come from – but are fed up with all the hot air and 'greenwash', this is the book for you. Renewable resources are 'huge', but our energy consumption is also 'huge'. To compare 'huge' things with each other, we need numbers, not adjectives. Sustainable Energy – without the hot air addresses the energy crisis objectively, cutting through all the contradictory statements from the media, government, and lobbies of all sides. It gives you the numbers and the facts you need, in bite-sized chunks, so you can understand the issues yourself and organises a plan for change on both a personal level and an international scale – for Europe, the United States, and the world. In case study format, this informative book also answers questions surrounding nuclear energy, the potential of sustainable fossil fuels, and the possibilities of sharing renewable power with foreign countries. Written by David MacKay, who was an esteemed Professor of Engineering at the University of Cambridge and Chief Scientific Advisor to the UK Department of Climate Change, this is an uplifting, jargon-free and informative read for all. In it, David debunks misinformation and clearly explains the calculations of expenditure per person to encourage people to make individual changes that will benefit the world at large. If you've thrown your hands up in despair thinking no solution is possible, then read this book - it's an honest, realistic, and humorous discussion of all our energy options.
The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include the effects of neuronal morphology, synapses, ion channels and intracellular signaling. The principle of abstraction is explained through chapters on simplifying models, and how simplified models can be used in networks. This theme is continued in a final chapter on modeling the development of the nervous system. Requiring an elementary background in neuroscience and some high school mathematics, this textbook is an ideal basis for a course on computational neuroscience.
The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include the effects of neuronal morphology, synapses, ion channels and intracellular signalling. The principle of abstraction is explained through chapters on simplifying models, and how simplified models can be used in networks. This theme is continued in a final chapter on modelling the development of the nervous system. Requiring an elementary background in neuroscience and some high school mathematics, this textbook is an ideal basis for a course on computational neuroscience.
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