Anderson WS, Kudela P, Cho J, Bergey GK, Franaszczuk PJ. (2007). Studies of stimulus parameters for seizure disruption using neural network simulations. Biological cybernetics. 97 [PubMed]

• Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007) [Model]
• Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012) [Model]

Bossetti CA, Birdno MJ, Grill WM. (2008). Analysis of the quasi-static approximation for calculating potentials generated by neural stimulation. Journal of neural engineering. 5 [PubMed]

Butson CR, Maks CB, McIntyre CC. (2006). Sources and effects of electrode impedance during deep brain stimulation. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 117 [PubMed]

Butson CR, McIntyre CC. (2006). Role of electrode design on the volume of tissue activated during deep brain stimulation. Journal of neural engineering. 3 [PubMed]

Carnevale NT, Morse TM. (1996). Research reports that have used NEURON Web published citations at the NEURON website.

Johnson MD, McIntyre CC. (2008). Quantifying the neural elements activated and inhibited by globus pallidus deep brain stimulation. Journal of neurophysiology. 100 [PubMed]

• GPi/GPe neuron models (Johnson and McIntyre 2008) [Model]

Miocinovic S et al. (2006). Computational analysis of subthalamic nucleus and lenticular fasciculus activation during therapeutic deep brain stimulation. Journal of neurophysiology. 96 [PubMed]

• DBS of a multi-compartment model of subthalamic nucleus projection neurons (Miocinovic et al. 2006) [Model]

Sterratt DC, Graham B, Gillies A, Willshaw D. (2011). Principles of Computational Modelling in Neuroscience, Cambridge University Press.

• Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011) [Model]