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An approximation to the adaptive exponential integrate-and-fire neuron model allows fast and predictive fitting to physiological data

For large-scale network simulations, it is often desirable to have computationally tractable, yet in a defined sense still physiologically valid neuron models. In particular, these models should be able to reproduce physiological measurements, ideally in a predictive sense, and under different input...

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Hlavní autoři: Loreen eHertäg, Joachim eHass, Tatiana eGolovko, Daniel eDurstewitz
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2012-09-01
Edice:Frontiers in Computational Neuroscience
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On-line přístup:http://journal.frontiersin.org/Journal/10.3389/fncom.2012.00062/full
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