Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017)

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Accession:229279

References:
1 . Abbasi S, Hudson AE, Maran SK, Cao Y, Abbasi A, Heck DH, Jaeger D (2017) Robust Transmission of Rate Coding in the Inhibitory Purkinje Cell to Cerebellar Nuclei Pathway in Awake Mice PLOS Computational Biology
2 . Steuber V, Schultheiss NW, Silver RA, De Schutter E, Jaeger D (2011) Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells. J Comput Neurosci 30:633-58 [PubMed]
3 . Steuber V, Jaeger D (2013) Modeling the generation of output by the cerebellar nuclei. Neural Netw 47:112-9 [PubMed]
4 . Steuber V, De Schutter E, Jaeger D (2004) Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors Neurocomputing 58-60:563-568
5 . Luthman J, Hoebeek FE, Maex R, Davey N, Adams R, De Zeeuw CI, Steuber V (2011) STD-dependent and independent encoding of input irregularity as spike rate in a computational model of a cerebellar nucleus neuron. Cerebellum 10:667-82 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism: Cerebellum;
Cell Type(s): Cerebellum deep nucleus neuron;
Channel(s): I h; I T low threshold; I L high threshold; I Na,p; I Na,t; I K,Ca; I K;
Gap Junctions:
Receptor(s): AMPA; NMDA; GabaA;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: GENESIS;
Model Concept(s): Synaptic Integration;
Implementer(s): Jaeger, Dieter [djaeger at emory.edu];
Search NeuronDB for information about:  GabaA; AMPA; NMDA; I Na,p; I Na,t; I L high threshold; I T low threshold; I K; I h; I K,Ca; Gaba; Glutamate;
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CGUNAY's MATLAB PLOTTING TOOLBOX (CGMPLOT)
==========================================

CGMPLOT improves Matlab plotting by:
- Adding intelligent controls to produce publication-quality figures 
from Matlab
- Wrapping existing plot commands into objects that can be modularly 
stacked and superposed
- In stacked multiplots:
	- Modular horizontal and vertical stack plots can be nested
	- Minimizes lost space by intelligent options to put axis labels only once
- In superposed plots:
	- Legends automatically appear matching plotted info
	- Inset plots can be produced.
- Specialized bar, errorbar and image plots are defined.


Installation:
--------------------

Copy the cgmplot/ directory under the toolbox subdirectory in your
Matlab installation.  Alternatively, you can use the Matlab "addpath"
command to add the cgmplot// subdirectory to the Matlab search path.

Documentation:
--------------------

See the PANDORA PDF manual under the doc/ directory.

Copyright:
--------------------

Copyright (c) 2007 Cengiz Gunay <cengique@users.sf.net>.
This work is licensed under the Academic Free License ("AFL")
v. 3.0. To view a copy of this license, please look at the COPYING
file distributed with this software or visit
http://opensource.org/licenses/afl-3.0.txt.

For more information and to download the latest version visit:
http://userwww.service.emory.edu/~cgunay/pandora/

Cengiz Gunay 
cengique@users.sf.net
2008-03-07

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