Electrical Signal Processing in the Nervous System
Buch, Englisch, 414 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 622 g
ISBN: 978-1-4684-2192-7
Verlag: Springer
The purpose of this book is to introduce and survey the various quantitative methods which have been proposed for describing, simulating, embodying, or characterizing the processing of electrical signals in nervous systems. We believe that electrical signal processing is a vital determinant of the functional organization of the brain, and that in unraveling the inherent complexities of this processing it will be essential to utilize the methods of quantification and modeling which have led to crowning successes in the physical and engineering sciences. In comprehensive terms, we conceive neural modeling to be the attempt to relate, in nervous systems, function to structure on the basis of operation. Sufficient knowledge and appropriate tools are at hand to maintain a serious and thorough study in the area. However, work in the area has yet to be satisfactorily integrated within contemporary brain research. Moreover, there exists a good deal of inefficiency within the area resulting from an overall lack of direction, critical self-evaluation, and cohesion. Such theoretical and modeling studies as have appeared exist largely as fragmented islands in the literature or as sparsely attended sessions at neuroscience conferences. In writing this book, we were guided by three main immediate objectives. Our first objective is to introduce the area to the upcoming generation of students of both the hard sciences and psychological and biological sciences in the hope that they might eventually help bring about the contributions it promises.
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Research
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Fachgebiete
Weitere Infos & Material
I. Introduction.- 1 Signal Processing in Nervous Systems.- 2 The Idealized “Standard Neuron”.- II. Neural Modeling: Models of Excitation And Conduction.- 3 Models of Passive Membrane.- 4 Equivalent Circuits for Passive Membrane.- 5 Models of Signal Generation in Neural Elements.- 6 Models of Distributed Passive Membrane.- 7 Models of Spike Generation and Conduction.- III. Neural Coding: Models of Electrical Signal Processing.- 8 Neuromimes.- 9 Stochastic Models of Neuron Activity.- 10 Statistical Analysis of Neuronal Spike Trains.- 11 Models of Neuron Pools.- 12 Models of Large Networks: Analytic Approaches.- 13 Models of Large Networks: Computer-Oriented Approaches.- 14 Models of Field Potentials, Slow Waves, and the EEG.- 15 Models of Specific Neural Networks.- IV. Conclusion.- 16 Neural Modeling: The State of the Art.- References.
