pyproject.toml

[tool.poetry]
name = "connattractor"
version = "0.1.0"
description = "Tool for analyzing fMRI data with functional connectome-based Hopfield networks (fcHNN)"
authors = ["Tamas Spisak <tamas.spisak@uni-due.de>", "Robert Englert <robert.englert@uk-essen.de>"]
license = "GPL-3.0-or-later"
repository = "https://github.com/pni-lab/connattractor"
homepage = "https://pni-lab.github.io/connattractor/"
readme = 'README.md'
keywords = [
    "functional connectivity analysis",
    "brain dynamics",
    "dynamic modelling",
    "brain states",
    "fcHNN",
    "functional connectome",
    "Hopfield"
]

packages = [
    { include = "connattractor" },
    { include = "resources" },
]

[tool.poetry.dependencies]
python = ">=3.7"
joblib = ">=1.0.1"
tqdm = ">=4.62.0"
numpy = ">=1.21.1"
pandas = ">=1.3.1"
scipy = ">=1.7.1"
statsmodels = ">=0.12.2"
seaborn = ">=0.11.1"
scikit-learn = ">=1.3"
nilearn = ">=0.9.1"
matplotlib = ">=3.5.2"
pingouin = ">=0.5.3"

[build-system]
requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning"]
build-backend = "poetry.core.masonry.api"