Ankur Sinha (Ankur Sinha Gmail) 4bf8163c9d feat: rename script 3 mēneši atpakaļ
..
cell_plots e07a896c67 chore: add ion-channel summary readme generator script 1 gadu atpakaļ
channels d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
mod 7013d6eac5 feat(neuroml): correct tonic input definition 1 gadu atpakaļ
rotated_cells 565ae3cc1e chore: check in temp cells, required by network files 8 mēneši atpakaļ
synapses 5b46e5babe fix(gfluct): correct typo 1 gadu atpakaļ
tests 45700f47ac chore: remove extra print statement 1 gadu atpakaļ
.test.net.jnmlnetpyne.omt 0dde0361da Updated test net 3 mēneši atpakaļ
.test.net.jnmlneuron.omt 0dde0361da Updated test net 3 mēneši atpakaļ
.test.pv.jnmlnetpyne.omt 91be8d06e9 Tighter tolerances on spiking tests 3 mēneši atpakaļ
.test.pv.jnmlneuron.omt 6ec481d314 feat(pv): regenerate cell, update tolerance values 1 gadu atpakaļ
.test.pyr.jnmleden.omt d1f20e5f72 feat(eden): increase tolerance for pyr 11 mēneši atpakaļ
.test.pyr.jnmlnetpyne.omt 91be8d06e9 Tighter tolerances on spiking tests 3 mēneši atpakaļ
.test.pyr.jnmlneuron.omt 91be8d06e9 Tighter tolerances on spiking tests 3 mēneši atpakaļ
.test.sst.jnmleden.omt 37120aef3f feat(omv): tweak tolerance for eden SST 11 mēneši atpakaļ
.test.sst.jnmlnetpyne.omt 0030b98a3f feat: update netpyne sst test 1 gadu atpakaļ
.test.sst.jnmlneuron.omt 35d5de4759 feat(omv): loosen tolerance for neuron SST test 1 gadu atpakaļ
.test.validate.omt 0dde0361da Updated test net 3 mēneši atpakaļ
.test.vip.jnmleden.omt b737391406 Test on eden -just sst, vip 1 gadu atpakaļ
.test.vip.jnmlnetpyne.omt 91be8d06e9 Tighter tolerances on spiking tests 3 mēneši atpakaļ
.test.vip.jnmlneuron.omt bda4c9e4f3 feat(omv): set tolerance for vip neurons 1 gadu atpakaļ
AnalyseNetwork.py 103e07a166 Fix links 8 mēneši atpakaļ
Analysis_HL23Net_1.0.net.nml.md 103e07a166 Fix links 8 mēneši atpakaļ
CaDynamics_E2_NML2.nml 19a33bbe71 feat: completes VIP cell 1 gadu atpakaļ
HL23.net.nml b548023ae4 chore: regen test files 11 mēneši atpakaļ
HL23Net_0.01.net.nml d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
HL23Net_0.02.net.nml d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
HL23Net_0.05.net.nml 9ab7efb948 git-annex in atlas 11 mēneši atpakaļ
HL23Net_0.1.net.nml 9ab7efb948 git-annex in atlas 11 mēneši atpakaļ
HL23Net_0.2.net.nml e56afaae0c chore 1 gadu atpakaļ
HL23Net_0.25.net.nml 16898ef3fb chore(nml): generate 0.25 scale network 10 mēneši atpakaļ
HL23Net_0.5.net.nml e56afaae0c chore 1 gadu atpakaļ
HL23Net_0.5.rotated.net.nml e56afaae0c chore 1 gadu atpakaļ
HL23Net_1.0.net.nml fd1ad78134 feat(nml): lock 1.0 scale network 11 mēneši atpakaļ
HL23Net_1.0.net.nml.circo.2.png 1ab61f2fa6 Add readme for analysed full scale network 8 mēneši atpakaļ
HL23Net_1.0.net.nml.dot.6.png 1ab61f2fa6 Add readme for analysed full scale network 8 mēneši atpakaļ
HL23Net_1.0.rotated.net.nml e56afaae0c chore 1 gadu atpakaļ
HL23Network.gv.png 8513cd0844 chore: add script to generate network graph 1 gadu atpakaļ
HL23Network_Chemical_conns_--sum_of_signed_weights-_cond_postpopsize-.png 1ab61f2fa6 Add readme for analysed full scale network 8 mēneši atpakaļ
HL23Network_Chemical_conns_--sum_of_weights-_cond_postpopsize-.png 1ab61f2fa6 Add readme for analysed full scale network 8 mēneši atpakaļ
HL23Network_Chemical_conns_-avg_weight_per_existant_conn-.png 1ab61f2fa6 Add readme for analysed full scale network 8 mēneši atpakaļ
HL23Network_Chemical_conns_-number_of_conns-.png 1ab61f2fa6 Add readme for analysed full scale network 8 mēneši atpakaļ
HL23Network_Chemical_conns_-sum_of_signed_weights_of_conns-.png 1ab61f2fa6 Add readme for analysed full scale network 8 mēneši atpakaļ
HL23PV.cell.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
HL23PV.morph.cell.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
HL23PV.net.nml b548023ae4 chore: regen test files 11 mēneši atpakaļ
HL23PV.pas.cell.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
HL23PYR.cell.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
HL23PYR.morph.cell.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
HL23PYR.net.nml b548023ae4 chore: regen test files 11 mēneši atpakaļ
HL23PYR.pas.cell.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
HL23SST.cell.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
HL23SST.morph.cell.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
HL23SST.net.nml b548023ae4 chore: regen test files 11 mēneši atpakaļ
HL23SST.pas.cell.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
HL23VIP.cell.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
HL23VIP.morph.cell.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
HL23VIP.net.nml b548023ae4 chore: regen test files 11 mēneši atpakaļ
HL23VIP.pas.cell.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
IClamp_HL23PV.net.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
IClamp_HL23PYR.net.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
L23.net.png 3f30810c51 fix(l23net): use rotated cell components 1 gadu atpakaļ
LEMS_HL23PV_sim.xml b548023ae4 chore: regen test files 11 mēneši atpakaļ
LEMS_HL23PYR_sim.xml b548023ae4 chore: regen test files 11 mēneši atpakaļ
LEMS_HL23PYR_tonic_sim.xml d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
LEMS_HL23SST_sim.xml b548023ae4 chore: regen test files 11 mēneši atpakaļ
LEMS_HL23VIP_sim.xml b548023ae4 chore: regen test files 11 mēneši atpakaļ
LEMS_HL23_0.01_Sim.xml 565ae3cc1e chore: check in temp cells, required by network files 8 mēneši atpakaļ
LEMS_HL23_0.02_Sim.xml d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
LEMS_HL23_0.05_Sim.xml 9ab7efb948 git-annex in atlas 11 mēneši atpakaļ
LEMS_HL23_0.1_Sim.xml 9ab7efb948 git-annex in atlas 11 mēneši atpakaļ
LEMS_HL23_0.25_Sim.xml 16898ef3fb chore(nml): generate 0.25 scale network 10 mēneši atpakaļ
LEMS_HL23_0.2_Sim.xml d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
LEMS_HL23_1.0_Sim.xml 3859e325d7 feat: check in full scale model 11 mēneši atpakaļ
LEMS_Sim_TestNetwork.xml 0dde0361da Updated test net 3 mēneši atpakaļ
LargeNetwork.json 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
LargeNetwork.net.nml 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
MediumNetwork.net.nml d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
NeuroML-info-PV.yaml fafd16c36a Updated export of nml info 1 gadu atpakaļ
NeuroML-info-PYR.yaml d542d133f0 chore: regen neuroml info for pyr 11 mēneši atpakaļ
NeuroML-info-SST.yaml fafd16c36a Updated export of nml info 1 gadu atpakaļ
NeuroML-info-VIP.yaml fafd16c36a Updated export of nml info 1 gadu atpakaļ
NeuroML-info.yaml 8f9cc78da3 chore: checkin info files 1 gadu atpakaļ
NeuroML-morphinfo-PV.yaml fed61bb20c feat: generate info for NeuroML generated NEURON cells 1 gadu atpakaļ
NeuroML-morphinfo-PYR.yaml fed61bb20c feat: generate info for NeuroML generated NEURON cells 1 gadu atpakaļ
NeuroML-morphinfo-SST.yaml fed61bb20c feat: generate info for NeuroML generated NEURON cells 1 gadu atpakaļ
NeuroML-morphinfo-VIP.yaml fed61bb20c feat: generate info for NeuroML generated NEURON cells 1 gadu atpakaļ
NeuroML-morphinfo.yaml 8f9cc78da3 chore: checkin info files 1 gadu atpakaļ
Readme.md 4bf8163c9d feat: rename script 3 mēneši atpakaļ
Sim_LargeNetwork.json 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
Sim_TestNetwork.json 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
TestNetwork.json 0dde0361da Updated test net 3 mēneši atpakaļ
TestNetwork.net.nml 0dde0361da Updated test net 3 mēneši atpakaļ
cellmorph2nml.py 44b608f780 feat(cellmorph2nml): do not load biophys 2 gadi atpakaļ
clean-nsg-jobs.sh dd815fcd77 chore(nml): update script to delete all nsg jobs 10 mēneši atpakaļ
clean.sh fafd16c36a Updated export of nml info 1 gadu atpakaļ
convert_cells_to_neuroml.sh db24d562d1 chore: clean up conversion script 1 gadu atpakaļ
create_omv_tests.py a576f84337 chore: add omv test creation script 1 gadu atpakaļ
create_test_network.py 0dde0361da Updated test net 3 mēneši atpakaļ
generate-network-graph.py 8cb3360b7d feat: also generate con matrix 1 gadu atpakaļ
getinfoneuroml.py fed61bb20c feat: generate info for NeuroML generated NEURON cells 1 gadu atpakaļ
iv_HL23PYR.net.nml d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
lems_components_0.01.xml 9ab7efb948 git-annex in atlas 11 mēneši atpakaļ
lems_components_0.02.xml d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
lems_components_0.05.xml 9ab7efb948 git-annex in atlas 11 mēneši atpakaļ
lems_components_0.1.xml d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
lems_components_0.2.xml d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
lems_components_0.25.xml 16898ef3fb chore(nml): generate 0.25 scale network 10 mēneši atpakaļ
lems_components_0.5.xml d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
lems_components_1.0.xml aab8427244 chore(nml): restore lems components for 1.0 scale network 10 mēneši atpakaļ
matplotlibrc d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
nml_main.py 4bf8163c9d feat: rename script 3 mēneši atpakaļ
postprocess_cells.py 12714a5420 Regenerated all nml cells with <spikeThresh> 3 mēneši atpakaļ
regenerate.sh 0dde0361da Updated test net 3 mēneši atpakaļ
requirements.txt e7e183748f chore: update requirements 1 gadu atpakaļ
synapse_components.xml d512f391c2 chore: touch all files to undo annexing 1 gadu atpakaļ
test_netpyne_loading.py 07fa80c21c feat(sim): set up sim and plotting 1 gadu atpakaļ

Readme.md

This folder contains versions of model components standardised in NeuroML2 format.

Learn more about NeuroML here: https://docs.neuroml.org

Files/folders and their descriptions

  • tests: tests with original Neuron cell model descriptions
  • channels: all channel definitions
  • synapses: all synapse definitions
  • rotated_cells: folder storing all rotated cells with tonic inhibition (not tracked in Git, so you may have to re-run the network creation script to regenerate these files)
  • cell_plots: plots of NeuroML cell morphologies and channel properties
  • mod: original Neuron mod files and plots of their properties

  • cellmorph2nml.py: exports the Neuron cell morphology to NeuroML format

  • postprocess_cells.py: post process the NeuroML morphology files to add biophysics to the cells

  • convert_cells_to_neuroml.sh: script to run the above two python scripts

  • getinfoneuroml.py: gets information about NeuroML cell models

  • create_test_network.py: creates a test network to test for validation

  • create_omv_tests.py: script to create OMV test templates

  • nml_main.py: main script for creation of network and simulation

These files are created for different network scales:

  • lems_component*.xml: files including LEMS definitions for inclusion into the LEMS simulation files
  • LEMS*xml: LEMS simulation scripts
  • HL23Net*.net.nml: Network description files

NeuroML files are stored in a git-annex repository

Because of the large number of files and large sizes of the NeuroML files, not all files can be stored on GitHub, which limits files to 100Mb. These large files are are stored on g-node which supports large files using git-annex. If you want to obtain these, please follow these steps.

https://gin.g-node.org/ankursinha/Human-L2-3-Cortical-Microcircuit

Install git-annex

It is a tool that allows for version control of large files, and is used by other tools like datalad. Installation instructions can be found at:

https://git-annex.branchable.com/install/

Clone the G-node repository:

git clone https://gin.g-node.org/ankursinha/Human-L2-3-Cortical-Microcircuit
git annex init

You can also use the gin client if you wish. Instructions are provided on g-node.

The files that are managed by git-annex will only be shown as links. This way, they don't take up space on your local machine until you fetch them. You can fetch individual files:

git annex get <path to file>

or get all of them:

git annex sync --content

If you don't need a file, you can "drop" it from your local hard disk:

git annex drop <path to file>