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doi
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structured_inhibition_spatial_network_model
forkad från Drangmeister/structured_inhibition_spatial_network_model
DOI
10.12751/g-node.abju0s
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Träd: b2989fdff2
Grenar Taggar
structured_i...
moritz b2989fdff2 Orientation maps are generated, uniformized and ready to run. 3 år sedan
figures 69e1352b15 Put max entropy figure in a script because I can't get notebooks working. Also added the correlation length analysis for circular values. 3 år sedan
graphics 8e21790cc3 Started working on the orientation maps and added uniformirty correction to the correlation length measure 3 år sedan
legacy_code 5318284ad3 moved old code basis to legacy code 4 år sedan
models 8b28da9f74 PRC of Hodkin-Huxley with H-current is as desired. Transfer from notebook to script 4 år sedan
notebooks 69e1352b15 Put max entropy figure in a script because I can't get notebooks working. Also added the correlation length analysis for circular values. 3 år sedan
scripts b2989fdff2 Orientation maps are generated, uniformized and ready to run. 3 år sedan
.gitignore 0ee4bb0df8 changed location of logging and data 4 år sedan
README.md a34e079578 how to get the repro folder in the python path 4 år sedan
environment.yml 287cb35247 added allen sdk and brian 2 model fitting 4 år sedan

README.md

Functional aspects of interneuron morphology in the subiculum

Interneurons in the subiculum have a polar axonal cloud instead of a circular as found in other brain regions. Additionally, pyramidal neurons in the subiculum lack recurrent connections, but they connect via recurrent inhibition. Therefore, inhibition plays a major role in this circuitry and we pose the question, which function the extraordinary axon morphology serves in this setting.

Ressources

How to run the scripts

It is recommended to use Anaconda (https://www.continuum.io/downloads) to create a virtual environment with the necessary dependencies. With anaconda, it is a one button install. Af ter cloning the repository and changing into the root folder, type

conda env create -f environment.yml

This creates an environment called interneuron_polarity, which can be activated via

conda activate interneuron_polarity

To run the scripts, you also need to make the repository folder available in the python path (requires conda--build)

conda develop .

If you need additional packages, install them via conda install and update the environment file via

conda env export > environment.yml

To update the existing environment

conda-env update -f environment.yml