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Failure to load models in moose-examples [docker] #247
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Hi,
To load neuroml model you need to install moogli,
“Moogli is a independent openGL based visualization tool for neural
simulations. Moogli can visualize morphology of single/multiple neurons or
network of neurons, and can also visualize activity in these cells.”
But this project is not maintained for long time I need to install first on
the system and test...
Will look into this as soon as possible
But there is other alternative also give me a Day will get back.
Regards
HarshaRani
…On Wed, 31 Oct 2018 at 10:42 PM, lungsi ***@***.***> wrote:
My environment is bhallalab/moose docker.
Using moosegui when I try to load moose-examples
<https://moose.ncbs.res.in/readthedocs/user/py/cookbook/elec_GUI.html> I
fail to load any of the models shown in the documentation.
When I follow the instruction
Cerebellar granule cell
File -> Load ->
~/moose/moose-examples/neuroml/GranuleCell/GranuleCell.net.xml
This is a single compartment Cerebellar granule cell with a variety of
channels Maex, R. and De Schutter, E., 1997 (exported from
http://www.neuroconstruct.org/). Click on its soma, and See children for
its list of channels. Vary the Gbar of these channels to obtain regular
firing, adapting and bursty behaviour (may need to increase tau of the Ca
pool).
*I get*
[image: moose-examples/neuroml/GranuleCell/GranuleCell.net.xml]
<https://user-images.githubusercontent.com/12233689/47804461-2cd59480-dd35-11e8-840e-5fde9cc67d7d.gif>
For
Pyloric rhythm generator in the stomatogastric ganglion of lobster
File -> Load -> ~/moose/moose-examples/neuroml/pyloric/Generated.net.xml
*I get*
[image: moose-examples/neuroml/pyloric/Generated.net.xml]
<https://user-images.githubusercontent.com/12233689/47804709-c7ce6e80-dd35-11e8-86ba-4778d3d6cdb6.gif>
For
Purkinje cell
File -> Load ->
~/moose/moose-examples/neuroml/PurkinjeCell/Purkinje.net.xml
This is a purely passive cell, but with extensive morphology [De Schutter,
E. and Bower, J. M., 1994] (exported from http://www.neuroconstruct.org/).
The channel specifications are in an obsolete ChannelML format which MOOSE
does not support.
*I get*
[image: moose-examples/neuroml/PurkinjeCell/Purkinje.net.xml]
<https://user-images.githubusercontent.com/12233689/47805078-b76ac380-dd36-11e8-8196-f33062f9a97b.gif>
For
Olfactory bulb subnetwork
File -> Load ->
~/moose/moose-examples/neuroml/OlfactoryBulb/numgloms2_seed100.0_decimated.xml
This is a pruned and decimated version of a detailed network model of the
Olfactory bulb [Gilra A. and Bhalla U., in preparation] without channels
and synaptic connections. We hope to post the ChannelML specifications of
the channels and synapses soon.
*I get*
[image:
moose-examples/neuroml/OlfactoryBulb/numgloms2_seed100.0_decimated.xml]
<https://user-images.githubusercontent.com/12233689/47805171-f0a33380-dd36-11e8-8864-bb7a1fdc60d7.gif>
For
All channels cell
File -> Load ->
~/moose/moose-examples/neuroml/allChannelsCell/allChannelsCell.net.xml
This is the Cerebellar granule cell as above, but with loads of channels
from various cell types (exported from http://www.neuroconstruct.org/).
Play around with the channel properties to see what they do. You can also
edit the ChannelML files in
~/moose/moose-examples/neuroml/allChannelsCell/cells_channels/ to
experiment further.
*I get*
[image: moose-examples/neuroml/allChannelsCell/allChannelsCell.net.xml]
<https://user-images.githubusercontent.com/12233689/47805208-0f092f00-dd37-11e8-998d-95f53c0f305d.gif>
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@harsha He is using version 3.1.4 on Ubuntu 16.04. It has moogli . You can probably reproduce it with chamcham series.
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@lungsi Rest all the models are loading. 1.In the Gui we are not displaying the 3D view of the model but the model is loaded into moose, one can see that it loaded by clicking view->DockWidget->python But now we are using rdesignuer for loading and running the models of these kinds, we will update soon some simple examples in the documentation |
My environment is
bhallalab/moose
docker.Using
moosegui
when I try to load moose-examples I fail to load any of the models shown in the documentation.When I follow the instruction
I get
For
I get
For
I get
For
I get
For
I get
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