Methods and Models in Neurophysics: Lecture Notes of the Les Houches Summer School 2003: 80

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His recent activities is centered on the physics of cold quantum gases, in particular Bose-Einstein condensation.

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Neuroscience is an interdisciplinary field that strives to understand the functioning of neural systems at levels ranging from biomolecules and cells to behaviour and higher brain functions perception, memory, cognition. Neurophysics has flourished over the past three decades, becoming an indelible part of neuroscience, and has arguably entered its maturity. It encompasses a vast array of approaches stemming from theoretical physics, computer science, and applied mathematics.

This book provides a detailed review of this field from basic concepts to its most recent development. Course 3 Geometric singular perturbation analysis of neuronal dynamics.

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Course 4 Theory of neural synchrony. Course 5 Some useful numerical techniques for simulating integrateandfire networks. Course 7 Activitydependent transmission in neocortical synapses. Course 9 Irregular activity in large networks of neurons.

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Course 10 Network models of memory. Course 11 Pattern formation in visual cortex. Course 12 Symmetry breaking and pattern selection in visual cortical development. Business Writing Skills.

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Methods and Models in Neurophysics: Volume 80 : Lecture Notes of the Les Houches Summer School 2003

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This raises an important experimental difficulty: it is often very difficult to measure more than one conductance properly in a single neuron, and if averaged values are not ideally suited to constrain a model Golowasch et al. Energy Optimization in Process Systems. Chapters provide a computational approach to understanding how attention operates in the brain. Mussa-Ivaldi, F. The distance between adjacent cortical points was 1 mm, consequently the conduction delay between points was set at 10 ms, as experimentally determined Capaday et al. Following the result of Stafstrom et al. In addition to the models, much of the underlying physiology is presented, so that readers may learn both the mathematics and the physiology, and see how the models are applied to specific biological questions.

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