This book offers representative examples from fly and mouse models to illustrate the ongoing success of the synergistic, state-of-the-art strategy, focusing on the ways it enhances our understanding of sensory processing. The authors focus on sensory systems (vision, olfaction), which are particularly powerful models for probing the development, connectivity, and function of neural circuits, to answer this question: How do individual nerve cells functionally cooperate to guide behavioral responses? Two genetically tractable species, mice and flies, together significantly further our understanding of these processes. Current efforts focus on integrating knowledge gained from three interrelated fields of research: (1) understanding how the fates of different cell types are specified during development, (2) revealing the synaptic connections between identified cell types (“connectomics”) using high-resolution three-dimensional circuit anatomy, and (3) causal testing of how iden tified circuit elements contribute to visual perception and behavior.

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. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - 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

Working from the intriguing hypothesis that Alzheimer's dementia is the result of a renegade protein-beta amyloid-Tanzi and others set out to find the gene responsible for its production. Decoding Darkness takes us deep into the minds and far-flung labs of many a prominent researcher, offering an intimate view of the high stakes of molecular genetics, the revolution that propels it, the obstacles that threaten to derail it, and the families whose lives are so dependent upon it. Tanzi and Parson ultimately reveal that Alzheimer's, like heart disease, may be effectively treated-even prevented.

First published in 1957, this essential classic work bridged the gap between analytical and theoretical biology, thus setting the insights of the former in a context which more sensitively reflects the ambiguities surrounding many of its core concepts and objectives. Specifically, these five essays are concerned with some of the major problems of classical biology: the precise character of biological organisation, the processes which generate it, and the specifics of evolution. With regard to these issues, some thinkers suggest that biological organisms are not merely distinguishable from inanimate ‘things’ in terms of complexity, but are in fact radically different qualitatively: they exemplify some constitutive principle which is not elsewhere manifested. It is the desire to bring such ideas into conformity with our understanding of analytical biology which unifies these essays. They explore the contours of a conceptual framework sufficiently wide to embrace all aspects of living systems.

How we raise young children is one of today's most highly personalized and sharply politicized issues, in part because each of us can claim some level of "expertise." The debate has intensified as discoveries about our development-in the womb and in the first months and years-have reached the popular media. How can we use our burgeoning knowledge to assure the well-being of all young children, for their own sake as well as for the sake of our nation? Drawing from new findings, this book presents important conclusions about nature-versus-nurture, the impact of being born into a working family, the effect of politics on programs for children, the costs and benefits of intervention, and other issues. The committee issues a series of challenges to decision makers regarding the quality of child care, issues of racial and ethnic diversity, the integration of children's cognitive and emotional development, and more. Authoritative yet accessible, From Neurons to Neighborhoods presents the evidence about "brain wiring" and how kids learn to speak, think, and regulate their behavior. It examines the effect of the climate-family, child care, community-within which the child grows.

'The Orbitofrontal Cortex' explores a part of the brain that is important in human emotion, pleasure, decision-making, valuation, and personality. The book is unique in providing a coherent multidisciplinary approach to understanding the functions of one of the most interesting regions of the human brain, in both health and in disease.