Abstract
Scientific efforts to understand the basic mechanisms of information processing and coding in the nervous system have produced a lot of remarkable work on the generation mechanism of action potentials (spikes), the properties of excitable membranes and the dynamic transformations of spike trains as they travel through the nervous system. Since the pivotal work of Hodgkin and Huxley (1952), who first proposed a quantitative dynamic model for the generation mechanism of action potentials in the squid axon, many competent investigators have explored mathematical aspects (for review see Cronin, 1987) and modifications of the original Hodgkin Huxley (H-H) model, motivated by a variety of reasons. Attempts to simplify the H-H model (i.e., reduce its complexity while maintaining its essential functional characteristics) have been motivated by the need to develop workable models of neuronal aggregates (networks) that incorporate the essential features of the spike generation mechanism while, at the same time, retain manageable computational complexity.
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© 1989 Plenum Press, New York
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Courellis, S.H., Marmarelis, V.Z. (1989). Wiener Analysis of the Hodgkin-Huxley Equations. In: Marmarelis, V.Z. (eds) Advanced Methods of Physiological System Modeling. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-9789-2_16
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DOI: https://doi.org/10.1007/978-1-4613-9789-2_16
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