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Keren N, Bar-Yehuda D, Korngreen A (2009) Experimentally guided modelling of dendritic excitability in rat neocortical pyramidal neurones. J Physiol 587:1413-37 [PubMed]

References and models cited by this paper

References and models that cite this paper

Almog M, Korngreen A (2014) A Quantitative Description of Dendritic Conductances and Its Application to Dendritic Excitation in Layer 5 Pyramidal Neurons J Neurosci 34(1):182-196 [Journal]
   Ionic mechanisms of dendritic spikes (Almog and Korngreen 2014) [Model]
Bahl A, Stemmler MB, Herz AV, Roth A (2012) Automated optimization of a reduced layer 5 pyramidal cell model based on experimental data. J Neurosci Methods 210:22-34 [Journal] [PubMed]
   A set of reduced models of layer 5 pyramidal neurons (Bahl et al. 2012) [Model]
Gurkiewicz M, Korngreen A, Waxman SG, Lampert A (2011) Kinetic modeling of Nav1.7 provides insight into erythromelalgia-associated F1449V mutation. J Neurophysiol 105:1546-57 [Journal] [PubMed]
   HMM of Nav1.7 WT and F1449V (Gurkiewicz et al. 2011) [Model]
Hallermann S, de Kock CP, Stuart GJ, Kole MH (2012) State and location dependence of action potential metabolic cost in cortical pyramidal neurons. Nat Neurosci 15:1007-14 [Journal] [PubMed]
   State and location dependence of action potential metabolic cost (Hallermann et al., 2012) [Model]
J?drzejewski-Szmek Z, Abrahao KP, J?drzejewska-Szmek J, Lovinger DM, Blackwell KT (2018) Parameter Optimization Using Covariance Matrix Adaptation-Evolutionary Strategy (CMA-ES), an Approach to Investigate Differences in Channel Properties Between Neuron Subtypes. Front Neuroinform 12:47 [Journal] [PubMed]
   Parameter optimization using CMA-ES (Jedrzejewski-Szmek et al 2018) [Model]
Mäki-Marttunen T, Halnes G, Devor A, Metzner C, Dale AM, Andreassen OA, Einevoll GT (2018) A stepwise neuron model fitting procedure designed for recordings with high spatial resolution: Application to layer 5 pyramidal cells. J Neurosci Methods 293:264-283 [Journal] [PubMed]
   Layer V pyramidal cell model with reduced morphology (Mäki-Marttunen et al 2018) [Model]
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