Code for optimising for neuromodulation fo single cell NEURON models
Project description
Neuromodcell
Optimizing neuromodulation in multicompartmental neuron model.
Tutorial for setting up neuromodulation for single cell models
See examples/ for Jupyter Notebook on dSPN optimization and analysis
Install
To use Neuromodcell, you first have to install NEURON on your machine , then install Neuromodcell via
pip install neuromodcell
Models
The multicompartmental models should have morphology file (SWC), mechanisms.json (JSON) and parameters.json (JSON) files. See examples/models/dspn for examples of dSPN multicompartmental models.
Support
We provide support via gitter chat or github issues page
Requirements
- neuron
- elephant
- bluepyopt
- deepdif
- matplotlib
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file Neuromodcell-0.2.0.tar.gz.
File metadata
- Download URL: Neuromodcell-0.2.0.tar.gz
- Upload date:
- Size: 14.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 95a2571e10c3f550cd622c85f81be803805c813fd634cc294078c9c05f4e2fb5 |
|
| MD5 | d21165534a466fa2ec6e68a61ee627ee |
|
| BLAKE2b-256 | 1b287960bbdd3574db16f9c922810c801eb1f201126825196c0c8c110fa8980c |
File details
Details for the file Neuromodcell-0.2.0-py3-none-any.whl.
File metadata
- Download URL: Neuromodcell-0.2.0-py3-none-any.whl
- Upload date:
- Size: 19.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5f4f24841d06af9b06d79a70ff6314455f52323eee92bc805a3b3cd33364224c |
|
| MD5 | f40d48b87804d00c881d95aca6c8c618 |
|
| BLAKE2b-256 | 1c84edac82edca017495fe1d71dca638bce0421ae28fa871706a6904063c72ff |
