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• Extracellular Action Potential Simulations (Gold et al 2007) [Model]

Howard AL, Neu A, Morgan RJ, Echegoyen JC, Soltesz I. (2007). Opposing modifications in intrinsic currents and synaptic inputs in post-traumatic mossy cells: evidence for single-cell homeostasis in a hyperexcitable network. Journal of neurophysiology. 97 [PubMed]

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• L5 cortical neurons with recreated synaptic inputs in vitro correlation transfer (Linaro et al 2019) [Model]

Lombardo J, Harrington MA. (2016). Nonreciprocal mechanisms in up- and downregulation of spinal motoneuron excitability by modulators of KCNQ/Kv7 channels. Journal of neurophysiology. 116 [PubMed]

• Regulation of motoneuron excitability by KCNQ/Kv7 modulators (Lombardo & Harrington 2016) [Model]

Meeks JP, Mennerick S. (2007). Action potential initiation and propagation in CA3 pyramidal axons. Journal of neurophysiology. 97 [PubMed]

Mensi S et al. (2012). Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. Journal of neurophysiology. 107 [PubMed]

• Extraction and classification of three cortical neuron types (Mensi et al. 2012) [Model]

Platkiewicz J, Brette R. (2010). A threshold equation for action potential initiation. PLoS computational biology. 6 [PubMed]

• A threshold equation for action potential initiation (Platkiewicz & Brette 2010) [Model]

Platkiewicz J, Brette R. (2011). Impact of fast sodium channel inactivation on spike threshold dynamics and synaptic integration. PLoS computational biology. 7 [PubMed]

• Impact of fast Na channel inact. on AP threshold & synaptic integration (Platkiewicz & Brette 2011) [Model]

Reetz O, Stadler K, Strauss U. (2014). Protein kinase C activation mediates interferon-ß-induced neuronal excitability changes in neocortical pyramidal neurons. Journal of neuroinflammation. 11 [PubMed]

• Firing neocortical layer V pyramidal neuron (Reetz et al. 2014; Stadler et al. 2014) [Model]

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• Sensitivity of noisy neurons to coincident inputs (Rossant et al. 2011) [Model]

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• AP back-prop. explains threshold variability and rapid rise (McCormick et al. 2007, Yu et al. 2008) [Model]