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Sensorimotor integration, the dynamic process by which the sensory and motor systems communicate with each other, is crucial to humans’ and animals’ ability to explore and react to their environment. This book summarizes the main aspects of our current understanding of sensorimotor integration in 10 chapters written by leading scientists in this active and ever-growing field. This volume focuses on the whisker system, which is an exquisite model to experimentally approach sensorimotor integration in the mammalian brain. In this book, authors examine the whisker system on many different levels, ranging from the building blocks and neuronal circuits to sensorimotor behavior. Neuronal coding strategies, comparative analysis as well as robotics illustrate the multiple facets of this research and its broad impact on fundamental questions about the neurobiology of the mammalian brain.

Sensorimotor integration --- Whiskers --- Physiology --- Vibrissae --- Rodentia --- Mammals --- Animal Structures --- Biological Science Disciplines --- Natural Science Disciplines --- Vertebrates --- Anatomy --- Disciplines and Occupations --- Chordata --- Animals --- Eukaryota --- Organisms --- Neurology --- Medicine --- Health & Biological Sciences --- Sensorimotor integration. --- Whiskers. --- Rodents --- Nervous system. --- Sinus hairs --- Tactile hairs --- Integration, Sensorimotor --- Intersensory integration --- Perceptual-motor integration --- Sensimotor integration --- Sensory integration --- Sensory-motor integration --- Medicine. --- Neurosciences. --- Neurology. --- Artificial intelligence. --- Biomedicine. --- Artificial Intelligence (incl. Robotics). --- Hair --- Perceptual-motor processes --- Sensory integration dysfunction --- Artificial Intelligence. --- Nervous system --- Neuropsychiatry --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Diseases --- Neurology .

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The aim of this Research Topic is to examine theoretical and experimental work directed at a detailed and comprehensive quantitative understanding of neuroanatomy. Integrating such knowledge with functional data should provide a more complete understanding of how the nervous system in different animal species is organized to generate appropriate behaviour. Three main areas will be covered in this issue. Firstly, progress in understanding neuroanatomical structures from applying novel mathematical and statistical methods. Secondly, experimental or computational work providing a quantitative analysis of microcircuit anatomy, cell distributions, cell morphologies, intracellular compartmentalization etc. Thirdly, experimental or computational studies of structural plasticity, and its effect on neural computations, e.g., changes in spine size and synaptic plasticity; changes in axonal projection patterns and cortical representations. Structural plasticity includes plasticity during development, in response to injury or disease and experience-induced plasticity.

Computational neuroscience. --- Neuroanatomy. --- Nerves --- Nervous system --- Anatomy --- Neurobiology --- Computational neurosciences --- Computational biology --- Neurosciences --- Quantitative morphology --- connectomics --- spatial statistics --- Dendrites --- neuronal modelling