Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This enlightening resource takes readers on an informative year-by-year tour of children's brain development from birth through age eight. Each chapter features a collection of developmentally appropriate activities ready for use in classroom or child care settings.

Developmental neurobiology. --- Child development.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In the animal nervous system, a very high metabolic turnover, fragile but steep ionic gradients, and morphological and structural constraints - dictated by the necessity for prompt neuronal transmission of electrical impulses and necessary plasticity - result in a highly fragile organ system. Here, we address a small sampling of major constituents of neural function at the cellular and molecular level that play important roles in development and aging, two endogenous processes that embody features of allostasis or the dynamic shifts in set points for specific homeostatic mechanisms associated with development and aging. These chapters stress the dynamic features of neuronal responses to internal (developmental) cues or the more harmful external events (injury and disease) in a modern perspective.

Aging --- Developmental neurobiology. --- Nervous system --- Physiological aspects. --- Aging. --- Developmental neurology --- Neurogenesis --- Developmental biology --- Embryology --- Neurobiology --- Neuroplasticity --- Evolution --- Neurosciences. --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The central nervous system represents the organ with the highest structural and functional complexity. Uncovering the mechanisms leading to cell diversity, patterning and connectivity in the CNS is one of the major challenges in developmental biology. This book provides an overview of some major facets of research on Drosophila brain development.

Biomedicine. --- Biomedicine general. --- Medicine. --- Médecine --- Brain --- Developmental neurobiology. --- Drosophila melanogaster --- Growth. --- Development. --- embryology. --- growth & development. --- Brain -- Embryology. --- Brain -- Growth. --- Drosophila melanogaster -- Development. --- Drosophila melanogaster -- Growth & development. --- Developmental neurobiology --- Physiological Processes --- Anatomy --- Central Nervous System --- Drosophila --- Nervous System --- Drosophilidae --- Physiological Phenomena --- Biological Science Disciplines --- Phenomena and Processes --- Natural Science Disciplines --- Diptera --- Insects --- Disciplines and Occupations --- Arthropods --- Invertebrates --- Animals --- Eukaryota --- Organisms --- Growth and Development --- Embryology --- Zoology --- Health & Biological Sciences --- Invertebrates & Protozoa --- Development --- Growth --- Developmental neurology --- Neurogenesis --- Drosophila ampelophila --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Developmental biology --- Neurobiology --- Nervous system --- Neuroplasticity --- Evolution --- Health Workforce --- Embryology. --- Growth & development. --- Biomedicine, general.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

During most of the 20th century, neurodegenerative diseases remained among the most enigmatic disorders of medicine. The scientific study of these conditions was descriptive in nature, detailing the clinical and neuropathological phenotypes associated with various diseases, but etiologies and pathogenic mechanisms remained obscure. Beginning in the 1970s, advances in two principal areas – biochemical pathology and molecular genetics – combined to yield powerful clues to the molecular underpinnings of several previously "idiopathic" brain disorders. Among the classical neurodegenerative diseases, perhaps the most rapid progress occurred in research on Alzheimer’s disease (AD). In disorders like Huntington’s disease, amyotrophic lateral sclerosis and even Parkinson’s disease, unbiased genetic screens, linkage analysis and positional cloning have identified causative genes that subsequently allowed the formulation of specific biochemical hypotheses. In sharp contrast, modern research on AD developed in the opposite order: the identification of the protein subunits of the classical brain lesions guided geneticists to disease-inducing genes, for example, APP, apolipoprotein E and tau. Thus, a biochemical hypothesis of disease - that AD is a progressive cerebral amyloidosis caused by the aggregation of the amyloid b-protein (Ab) - preceded and enabled the discovery of etiologies.

Alzheimer's disease --- Neuroplasticity. --- Pathophysiology. --- Research. --- Nervous system plasticity --- Neural adaptation --- Neural plasticity --- Neuronal adaptation --- Neuronal plasticity --- Plasticity, Nervous system --- Soft-wired nervous system --- Synaptic plasticity --- Adaptation (Physiology) --- Neurophysiology --- Developmental neurobiology --- Alzheimer disease --- Alzheimer's dementia --- Basal ganglia --- Presenile dementia --- Senile dementia --- Diseases --- Neurosciences. --- Human physiology. --- Human Physiology. --- Human biology --- Medical sciences --- Physiology --- Human body --- Neural sciences --- Neurological sciences --- Neuroscience --- Nervous system

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this 2002 introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling. The text is enhanced by many worked examples and illustrations. There are no mathematical prerequisites beyond what the audience would meet as undergraduates: more advanced techniques are introduced in an elementary, concrete fashion when needed.

Computational neuroscience. --- Neural networks (Neurobiology). --- Neurons. --- Neuroplasticity. --- Neurons --- Neuronal Plasticity --- Nerve Net --- Models, Neurological --- Nervous System Physiological Processes --- Models, Biological --- Nervous System --- Cells --- Models, Theoretical --- Anatomy --- Nervous System Physiological Phenomena --- Musculoskeletal and Neural Physiological Phenomena --- Investigative Techniques --- Phenomena and Processes --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Neuroscience --- Human Anatomy & Physiology --- Health & Biological Sciences --- Investigative Technics --- Investigative Technic --- Investigative Technique --- Technic, Investigative --- Technics, Investigative --- Technique, Investigative --- Techniques, Investigative --- Musculoskeletal and Neural Physiological Concepts --- Musculoskeletal and Neural Physiological Phenomenon --- Musculoskeletal and Neural Physiology --- Neural Networks (Anatomic) --- Nerve Nets --- Net, Nerve --- Nets, Nerve --- Network, Neural (Anatomic) --- Networks, Neural (Anatomic) --- Neural Network (Anatomic) --- Axon Pruning --- Axonal Pruning --- Dendrite Arborization --- Dendrite Pruning --- Dendritic Arborization --- Dendritic Pruning --- Dendritic Remodeling --- Neural Plasticity --- Neurite Pruning --- Neuronal Arborization --- Neuronal Network Remodeling --- Neuronal Pruning --- Neuronal Remodeling --- Neuroplasticity --- Synaptic Plasticity --- Synaptic Pruning --- Brain Plasticity --- Plasticity, Neuronal --- Arborization, Dendrite --- Arborization, Dendritic --- Arborization, Neuronal --- Arborizations, Dendrite --- Arborizations, Dendritic --- Arborizations, Neuronal --- Axon Prunings --- Axonal Prunings --- Brain Plasticities --- Dendrite Arborizations --- Dendrite Prunings --- Dendritic Arborizations --- Dendritic Prunings --- Dendritic Remodelings --- Network Remodeling, Neuronal --- Network Remodelings, Neuronal --- Neural Plasticities --- Neurite Prunings --- Neuronal Arborizations --- Neuronal Network Remodelings --- Neuronal Plasticities --- Neuronal Prunings --- Neuronal Remodelings --- Neuroplasticities --- Plasticities, Brain --- Plasticities, Neural --- Plasticities, Neuronal --- Plasticities, Synaptic --- Plasticity, Brain --- Plasticity, Neural --- Plasticity, Synaptic --- Pruning, Axon --- Pruning, Axonal --- Pruning, Dendrite --- Pruning, Dendritic --- Pruning, Neurite --- Pruning, Neuronal --- Pruning, Synaptic --- Prunings, Axon --- Prunings, Axonal --- Prunings, Dendrite --- Prunings, Dendritic --- Prunings, Neurite --- Prunings, Neuronal --- Prunings, Synaptic --- Remodeling, Dendritic --- Remodeling, Neuronal --- Remodeling, Neuronal Network --- Remodelings, Dendritic --- Remodelings, Neuronal --- Remodelings, Neuronal Network --- Synaptic Plasticities --- Synaptic Prunings --- Cell Plasticity --- Nervous System Physiological Concepts --- Nervous System Physiological Phenomenon --- Nervous System Physiological Process --- Physiology, Nervous System --- Nervous System Physiologic Processes --- Nervous System Physiology --- System Physiology, Nervous --- Anatomies --- Experimental Model --- Experimental Models --- Mathematical Model --- Model, Experimental --- Models (Theoretical) --- Models, Experimental --- Models, Theoretic --- Theoretical Study --- Mathematical Models --- Model (Theoretical) --- Model, Mathematical --- Model, Theoretical --- Models, Mathematical --- Studies, Theoretical --- Study, Theoretical --- Theoretical Model --- Theoretical Models --- Theoretical Studies --- Computer Simulation --- Systems Theory --- Cell --- Cell Biology --- Nervous Systems --- System, Nervous --- Systems, Nervous --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- Model, Neurological --- Neurologic Model --- Neurological Model --- Neurological Models --- Neurologic Models --- Model, Neurologic --- Models, Neurologic --- Nerve Cells --- Cell, Nerve --- Cells, Nerve --- Nerve Cell --- Neuron --- physiology --- Computational neuroscience --- Neural networks (Neurobiology) --- 681.3*I51 --- Nervous system plasticity --- Neural adaptation --- Neural plasticity --- Neuronal adaptation --- Neuronal plasticity --- Plasticity, Nervous system --- Soft-wired nervous system --- Synaptic plasticity --- Adaptation (Physiology) --- Neurophysiology --- Developmental neurobiology --- Nerve cells --- Neurocytes --- Nervous system --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Cognitive neuroscience --- Neurobiology --- Neural circuitry --- Computational neurosciences --- Computational biology --- Neurosciences --- 681.3*I51 Models: deterministic; fuzzy set; geometric; statistical; structural (Patternrecognition) --- Models: deterministic; fuzzy set; geometric; statistical; structural (Patternrecognition)