This is the readme for the model associated with the publications:

1. Solinas S, Forti L, Cesana E, Mapelli J, De Schutter E, D`Angelo E
(2007) Computational reconstruction of pacemaking and intrinsic
electroresponsiveness in cerebellar golgi
cells. Front. Cell. Neurosci.

2. Solinas S, Forti L, Cesana E, Mapelli J , De Schutter E, D`Angelo E
(2007) Fast-reset of pacemaking and theta-frequency resonance patterns
in cerebellar golgi cells: Simulations of their impact in
vivo. Front. Cell. Neurosci.

The cerebellar cortex input is profoundly influenced by the inhibitory
action of Golgi cells. Golgi cells display complex excitable
properties including (i) low-frequency pacemaking, (ii) adapting
high-frequency discharge during depolarization followed by AHP and
phase-reset, and (iii) sagging inward rectification during
hyperpolarization followed by rebound excitation (Forti et al.,
2006). An initial pharmacological analysis indicated that pacemaking
involved Ih, a persistent sodium current, an SK-type calcium-dependent
K+ current, and probably an M-like K+current. In order to assess
whether this set of currents was sufficient to explain pacemaking and
the other Golgi cell excitable properties, we have developed a
mathematical model. The above set of currents proved essential to
generate the salient Golgi cell responses. Moreover, the role of other
ion currents was predicted in order to obtain a proper quantitative
matching of specific properties. In particular, Ih maintained the cell
in the oscillatory regime, which was determined by the interplay of
INa-p with IK-slow and IK-AHP. Although IK-slow and IK-AHP are
redundant in the oscillatory process, IK-slow proved to be the most
effective for generating intrinsic resonance. Moreover, IK-A and
ICa-LVA are predicted to play an important role for regulating
response timing, and the ICa-VA/IK-Ca system to regulate spike
repolarization and high-frequency discharge. Our results suggest that
a complex complement of ionic mechanisms is needed to fine-tune
separate aspects of the neuronal response dynamics. Simulations also
suggest that the Golgi cell may exploit these mechanisms to obtain a
fine regulation of timing of incoming mossy fiber responses and
granular layer circuit oscillation and bursting.

Usage:

Auto-launch from ModelDB or download and extract the archive.  Then
under:

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MSWIN

run mknrndll, cd to the archive and make the nrnmech.dll.  Then double
click on the mosinit.hoc file.

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MAC OS X

Drag and drop the Golgi_cell folder onto the mknrndll icon.  Drag and
drop the mosinit.hoc file onto the nrngui icon.

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Linux/Unix

Change directory to the Golgi_cell folder. run nrnivmodl. Then type
nrngui mosinit.hoc
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Once the simulation is running press Init & Run to generate a graph
similar to fig 2. from "Computational reconstruction of pacemaking and
intrinsic electroresponsiveness in cerebellar golgi cells":



These model files were supplied by Sergio Salinas.

Changelog
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2022-12: Fix 9.0.0 Upcoming error: r used as both variable and function in file Golgi_hcn1.mod