https://github.com/berenslab/aims2025-neurosiminf

Course repository for Simulation and Inference for Neuroscience

https://github.com/berenslab/aims2025-neurosiminf

Science Score: 13.0%

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    Low similarity (7.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

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
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme

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

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
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Dependencies

pyproject.toml pypi
  • jaxley >=0.6.2
  • jaxley-mech >=0.2.0
  • matplotlib >=3.10.0
  • numpy >=2.2.3
  • pandas >=2.2.3
uv.lock pypi
  • 133 dependencies