Circuits that contain the Modeling Application : XPP (Home Page)

(XPP (XPPAUT is another name; I (Bard Ermentrout) will use the two interchangeably) is a tool for solving differential equations, difference equations, delay equations, functional equations, boundary value problems, and stochastic equations. It evolved from a chapter written by John Rinzel and me on the qualitative theory of nerve membranes and eventually became a commercial product for MSDOS computers called PHASEPLANE. It is now available as a program running under X11 and Windows. The code brings together a number of useful algorithms and is extremely portable.)
Re-display model names with descriptions
1. A theory of ongoing activity in V1 (Goldberg et al 2004)
2. Activity patterns in a subthalamopallidal network of the basal ganglia model (Terman et al 2002)
3. Contribution of ATP-sensitive potassium channels in the neuronal network (Huang et al. 2009)
4. Excitatory and inhibitory interactions in populations of model neurons (Wilson and Cowan 1972)
5. Failure of Deep Brain Stimulation in a basal ganglia neuronal network model (Dovzhenok et al. 2013)
6. High frequency stimulation of the Subthalamic Nucleus (Rubin and Terman 2004)
7. Human sleep/wake cycle (Rempe et al. 2010)
8. Inhibitory control by an integral feedback signal in prefrontal cortex (Miller and Wang 2006)
9. Modeling the effects of dopamine on network synchronization (Komek et al. 2012)
10. Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007)
11. Pallidostriatal projections promote beta oscillations (Corbit, Whalen, et al 2016)
12. Respiratory central pattern generator network in mammalian brainstem (Rubin et al. 2009)
13. Simulation studies on mechanisms of levetiracetam-mediated inhibition of IK(DR) (Huang et al. 2009)
14. Study of augmented Rubin and Terman 2004 deep brain stim. model in Parkinsons (Pascual et al. 2006)
15. Synchronization by D4 dopamine receptor-mediated phospholipid methylation (Kuznetsova, Deth 2008)
16. The activity phase of postsynaptic neurons (Bose et al 2004)

Re-display model names with descriptions