ModelDB: Models that contain XPPAUT (web link to model)

Simulation Environment: XPPAUT (web link to model)

A nicotinic acetylcholine receptor kinetic model (Edelstein et al. 1996)
A phantom bursting mechanism for episodic bursting (Bertram et al 2008)
BK Channels Promote Bursting in Pituitary Cells (Tabak et al 2011)
Ca2+-activated I_CAN and synaptic depression promotes network-dependent oscil. (Rubin et al. 2009)
Cerebellar stellate cells: changes in threshold, latency and frequency of firing (Mitry et al 2020)
Endothelin action on pituitary latotrophs (Bertram et al. 2006)
Fully continuous Pinsky-Rinzel model for bifurcation analysis (Atherton et al. 2016)
Low dose of dopamine may stimulate prolactin secretion by increasing K currents (Tabak et al. 2006)
Mathematical Foundations of Neuroscience (Ermentrout and Terman 2010)
Mixed mode oscillations as a mechanism for pseudo-plateau bursting (Vo et al. 2010)
Oxytocin and VIP involvement in prolactin secretion (Egli et al. 2004,2006, Bertram et al. 2006)
Reduction of nonlinear ODE systems possessing multiple scales (Clewley et al. 2005)
Squid axon (Hodgkin, Huxley 1952) (SBML, XPP, other)
The dynamics underlying pseudo-plateau bursting in a pituitary cell model (Teka et al. 2011)
The relationship between two fast/slow analysis techniques for bursting oscill. (Teka et al. 2012)
Understanding how fast activating K+ channels promote bursting in pituitary cells (Vo et al 2014)
Universal feature of developing networks (Tabak et al 2010)

https://sites.pitt.edu/~phase/bard/bardware/xpp/xpp.html
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.

Top authors for XPPAUT (web link to model):

Top concepts studied with XPPAUT (web link to model):

Top neurons studied with XPPAUT (web link to model):

Pituitary cell (8)
Hodgkin-Huxley neuron (3)
PreBotzinger complex neuron (1)
Cerebellum interneuron stellate GABA cell (1)
Hippocampus CA1 pyramidal GLU cell (1)
Hippocampus CA3 pyramidal GLU cell (1)
Pinsky-Rinzel CA1/3 pyramidal cell (1)
Squid axon (1)
Abstract integrate-and-fire leaky neuron (1)

Top currents studied with XPPAUT (web link to model):

I K (8)
I Calcium (6)
I K,Ca (5)
I Potassium (2)
I A (2)
I CAN (1)
I_SERCA (1)
I Na,t (1)

Top references cited by these models: