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Invertebrate neurobiology has long been at the forefront of computational neuroscience, starting with the mathematical model of the biophysical basis of the action potential by Hodgkin and Huxley in the squid giant axon almost 50 years ago (Hogdkin and Huxley 1952). Many invertebrate systems are highly suitable for detailed modeling because of their relatively compact size and the fact that their neurons can often be uniquely identified. This feature allows the formulation of precise descriptions of their behaviors and simplifies the interpretation of experimental results. Yet, as Hodgkin and Huxley’s seminal analysis of action potential mechanisms has proved, invertebrate models possess characteristics similar to those of vertebrates and the computational principles derived from either type of nervous systems have been found universally applicable, even if details of the mechanistic implementations differ.
This entry of the Encyclopedia focuses on the sensory...
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Gabbiani, F. (2015). Invertebrate Sensory Systems: Overview. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6675-8_482
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DOI: https://doi.org/10.1007/978-1-4614-6675-8_482
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