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This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. It integrates approaches from psychophysics and quantitative neurobiology, as well as theories and algorithms from machine vision and photogrammetry. When presenting mathematical material, it uses detailed verbal descriptions and illustrations to clarify complex points. The text is suitable for upper-level students in neuroscience, biology, and psychology who have basic mathematical skills and are interested in studying the mathematical modeling of perception.

Artificial intelligence. Robotics. Simulation. Graphics --- Affective and dynamic functions --- Physiology of nerves and sense organs --- Vision --- Computational neuroscience --- Visual cortex --- Neurosciences informatiques --- Computer simulation --- Models, Biological --- Perception --- Models, Theoretical --- Mental Processes --- Investigative Techniques --- Psychological Phenomena and Processes --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Psychiatry and Psychology --- Models, Neurological --- Visual Perception --- Human Anatomy & Physiology --- Health & Biological Sciences --- Neuroscience --- Perception, Visual --- Perceptions, Visual --- Visual Perceptions --- Model, Neurological --- Neurologic Model --- Neurological Model --- Neurological Models --- Neurologic Models --- Model, Neurologic --- Models, Neurologic --- Psychologic Processes and Principles --- Investigative Technics --- Investigative Technic --- Investigative Technique --- Technic, Investigative --- Technics, Investigative --- Technique, Investigative --- Techniques, Investigative --- Human Information Processing --- Information Processing, Human --- 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 --- Perceptions --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- Vision, Ocular --- Psychologic Processes --- Psychological Processes --- Phenomena, Psychological --- Processes, Psychologic --- Processes, Psychological --- Psychological Phenomenas --- Psychological Processe --- Computer Simulation --- Systems Theory --- Sensation --- Computational neuroscience. --- Computer simulation. --- NEUROSCIENCE/General --- NEUROSCIENCE/Visual Neuroscience --- Eyesight --- Seeing --- Sight --- Senses and sensation --- Blindfolds --- Eye --- Physiological optics --- Area striata --- Striate area --- Striate cortex --- Occipital lobes --- Computational neurosciences --- Computational biology --- Neurosciences

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Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and  equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.

Physics --- Neuropathology --- Applied physical engineering --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- neurologie --- informatica --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- fysica --- AI (artificiële intelligentie)