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The period from birth to 12 years is crucial in a child's development and can significantly impact future educational success, resilience and participation in society. Health and Wellbeing in Childhood provides readers with a comprehensive introduction to a wide range of topics and issues in health and wellbeing education, including child safety, bullying and social emotional wellbeing, resilience, physical education, communication development and friendships. It explores relevant policies, standards and frameworks, including the Early Years Learning Framework and the Australian Curriculum. The third edition provides a cohesive and accessible reading experience and includes updated and expanded coverage of nutrition, body image and community partnerships. Each chapter has been revised to include the latest research and developments in childhood health and wellbeing, and features definitions of key terms, case studies, pause and reflect activities and end-of-chapter questions. Supplementary materials, including video and audio links, are available on the companion website.
The period from birth to 12 years is crucial in a child's development and can significantly impact future educational success, resilience and participation in society. Health and Wellbeing in Childhood provides readers with a comprehensive introduction to a wide range of topics and issues in health and wellbeing education, including child safety, bullying and social emotional wellbeing, resilience, physical education, communication development and friendships. It explores relevant policies, standards and frameworks, including the Early Years Learning Framework and the Australian Curriculum. The third edition provides a cohesive and accessible reading experience and includes updated and expanded coverage of nutrition, body image and community partnerships. Each chapter has been revised to include the latest research and developments in childhood health and wellbeing, and features definitions of key terms, case studies, pause and reflect activities and end-of-chapter questions. Supplementary materials, including video and audio links, are available on the companion website.
Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience.
Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience.