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Druckmann S, Berger TK, Hill S, Schürmann F, Markram H, Segev I (2008) Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data. Biol Cybern 99:371-9 [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]
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Manis PB, Campagnola L (2018) A biophysical modelling platform of the cochlear nucleus and other auditory circuits: From channels to networks. Hear Res 360:76-91 [Journal] [PubMed]
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Masoli S, D'Angelo E (2017) Synaptic Activation of a Detailed Purkinje Cell Model Predicts Voltage-Dependent Control of Burst-Pause Responses in Active Dendrites. Front Cell Neurosci 11:278 [Journal] [PubMed]
Masoli S, Solinas S, D'Angelo E (2015) Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization. Front Cell Neurosci 9:47 [Journal] [PubMed]
  • A detailed Purkinje cell model (Masoli et al 2015) [Model]
Mensi S, Naud R, Pozzorini C, Avermann M, Petersen CC, Gerstner W (2012) Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. J Neurophysiol 107:1756-75 [Journal] [PubMed]
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Rumbell TH, Draguljic D, Yadav A, Hof PR, Luebke JI, Weaver CM (2016) Automated evolutionary optimization of ion channel conductances and kinetics in models of young and aged rhesus monkey pyramidal neurons. J Comput Neurosci 41:65-90 [Journal] [PubMed]
  • Rhesus Monkey Young and Aged L3 PFC Pyramidal Neurons (Rumbell et al. 2016) [Model]
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