Abstract
Models of the small neuronal networks from invertebrates, especially rhythmically active central pattern generators, have not only been useful experimental tools for circuit analyses but also been instrumental in revealing general principles of neuronal network function. This ability of small network models to illuminate basic mechanisms attests to their heuristic power. In the 20 years since the first CNS meeting, theoretical studies, now supported abundantly by experimental analyses in several different networks and species, have shown that functional network activity arises in animals and models even though parameters (e.g., the intrinsic membrane properties (maximal conductances) of the neurons and the strengths of the synaptic connections) show two to fivefold animal-to-animal variability.
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Calabrese, R.L. (2013). The More We Look, the More Biological Variation We See: How Has and Should This Influence Modeling of Small Networks?. In: Bower, J. (eds) 20 Years of Computational Neuroscience. Springer Series in Computational Neuroscience, vol 9. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1424-7_7
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DOI: https://doi.org/10.1007/978-1-4614-1424-7_7
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