Alle H, Roth A, Geiger JR. (2009). Energy-efficient action potentials in hippocampal mossy fibers. Science (New York, N.Y.). 325 [PubMed]

• Action potential reconstitution from measured current waveforms (Alle et al. 2009) [Model]

Cakan C, Obermayer K. (2020). PLoS computational biology. 16 [PubMed]

• Mean-field models of neural populations under electrical stimulation (Cakan & Obermayer 2020) [Model]

Caplan JS, Williams AH, Marder E. (2014). Many parameter sets in a multicompartment model oscillator are robust to temperature perturbations. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

• Temperature-Dependent Pyloric Pacemaker Kernel (Caplan JS et al., 2014) [Model]

Crotty P, Sangrey T, Levy WB. (2006). Metabolic energy cost of action potential velocity. Journal of neurophysiology. 96 [PubMed]

Humphries MD, Gurney K, Prescott TJ. (2006). The brainstem reticular formation is a small-world, not scale-free, network. Proceedings. Biological sciences. 273 [PubMed]

• Medial reticular formation of the brainstem: anatomy and dynamics (Humphries et al. 2006, 2007) [Model]

Humphries MD, Gurney K, Prescott TJ. (2007). Is there a brainstem substrate for action selection? Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 362 [PubMed]

• Medial reticular formation of the brainstem: anatomy and dynamics (Humphries et al. 2006, 2007) [Model]

Kole MH, Hallermann S, Stuart GJ. (2006). Single Ih channels in pyramidal neuron dendrites: properties, distribution, and impact on action potential output. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

• Stochastic Ih and Na-channels in pyramidal neuron dendrites (Kole et al 2006) [Model]

Rehn M, Sommer FT. (2007). A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. Journal of computational neuroscience. 22 [PubMed]

Richert M, Nageswaran JM, Dutt N, Krichmar JL. (2011). An efficient simulation environment for modeling large-scale cortical processing. Frontiers in neuroinformatics. 5 [PubMed]

• Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011) [Model]

Sangrey TD, Friesen WO, Levy WB. (2004). Analysis of the optimal channel density of the squid giant axon using a reparameterized Hodgkin-Huxley model. Journal of neurophysiology. 91 [PubMed]