https://github.com/berenslab/aims2025-neurosiminf
Course repository for Simulation and Inference for Neuroscience
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (7.7%) to scientific vocabulary
Repository
Course repository for Simulation and Inference for Neuroscience
Basic Info
- Host: GitHub
- Owner: berenslab
- Language: Jupyter Notebook
- Default Branch: main
- Size: 193 KB
Statistics
- Stars: 0
- Watchers: 3
- Forks: 2
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
Simulation and Inference for Neuroscience
This repository contains the code for the Simulation and Inference for Neuroscience course taught at AIMS.
Download
You can download the repository by running:
bash
git clone https://github.com/aims-neuroscience/simulation-and-inference-for-neuroscience.git
or by clicking the "Code" button above and clicking "Download ZIP".
Installation
There is two different ways to install the dependencies:
Option 1: Using uv
We recommend using uv to manage the dependencies.
If you're on macOS or Linux you can install uv by running:
bash
curl -LsSf https://astral.sh/uv/install.sh | sh
If you're on Windows you can install uv by running:
powershell
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Once you have uv installed, you can install the dependencies, create a python virtual environment and activate it by running:
bash
uv sync
source .venv/bin/activate
Then you can run the notebooks by running:
bash
jupyter-notebook notebooks/
If you are using an IDE, it should be able to detect the python environment and use it automatically. I recommend using vscode.
Option 2: Using conda
Alternatively, you can use conda to manage the dependencies. If you don't have conda installed, you can install it here.
Once you have conda installed, you can create a python environment and install the dependencies by running:
bash
conda create -n sim-inf-neuro python=3.12
conda activate sim-inf-neuro
pip install -e .
Then you can run the notebooks by running:
bash
jupyter-notebook notebooks/
Owner
- Name: Berens Lab @ University of Tübingen
- Login: berenslab
- Kind: organization
- Email: philipp.berens@uni-tuebingen.de
- Location: Tübingen, Germany
- Website: https://hertie.ai/data-science
- Repositories: 60
- Profile: https://github.com/berenslab
Department of Data Science at the Hertie Institute for AI in Brain Health, University of Tübingen
GitHub Events
Total
- Issues event: 1
- Member event: 1
- Push event: 16
- Fork event: 5
- Create event: 2
Last Year
- Issues event: 1
- Member event: 1
- Push event: 16
- Fork event: 5
- Create event: 2
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 1
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- Antony-gitau (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- jaxley >=0.6.2
- jaxley-mech >=0.2.0
- matplotlib >=3.10.0
- numpy >=2.2.3
- pandas >=2.2.3
- 133 dependencies