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Parametrizing analog multi-compartment neurons with genetic algorithms [version 2; peer review: 1 approved, 2 approved with reservations]

Background Finding appropriate model parameters for multi-compartmental neuron models can be challenging. Parameters such as the leak and axial conductance are not always directly derivable from neuron observations but are crucial for replicating desired observations. The objective of this study is...

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Principais autores: Raphael Stock, Eric Müller, Jakob Kaiser, Sebastian Schmitt, Johannes Schemmel
格式: Artigo
语言:Inglês
出版: F1000 Research Ltd 2024-11-01
丛编:Open Research Europe
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在线阅读:https://open-research-europe.ec.europa.eu/articles/3-144/v2
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