Skip to main content

Core Kymata codebase, including statistical analysis and plotting tools

Project description

Unit Tests Passed Linting Checks Passed CodeFactor codecov

Logo

Kymata Core

Core codebase for the Kymata Atlas
Explore the docs »


Overview · Setup · Citing · Licence

Overview

Kymata Core is the central codebase underlying the Kymata Atlas.[^1] It is maintained by the Kymata Research Group.

The central pipeline includes:

  • Standard preprocessing and source localisation steps for neural sensor data (MEG, EEG, ECoG);
  • Gridsearch approaches for transform mapping;
  • Information Processing Pathway Map[^2] generation (both offline generation and evaluation);
  • Plotting functionality

The codebase is released under an MIT license to ensure the transparency of the results in the Kymata Atlas. While comments and issues are welcomed, we are unable to prioritise installation or usage support (please see our code of conduct).

(back to top)

Getting Started

This provides an overview of how to set Kymata Core locally.

Prerequisites

  • Python

    Confirm you have the correct version of Python installed. Type

    $ pyenv versions
    

    This should confirm that python 3.11 or above is installed. If it isn't already there, install it using pyenv install. You should be able to confirm you are using the correct version using

    $ python -V
    
  • Poetry

    This package uses Poetry to manage packages. See python-poetry.org for installation instructions.

Installation

  1. Clone this repository:

    $ git clone https://github.com/kymata-atlas/kymata-core.git
    
  2. To install the python packages you will need to use Poetry. Assuming you have installed Poetry, type:

    $ poetry install
    

    to load the pakages needed.

  3. At this point, you should be able to either run the xx from the terminal

    $ poetry run invokers/run_gridsearch.py
    

    or activate in this environment in an IDE such as PyCharm.

Running tests, linting, and generating documentation

This will be done automatically via Github actions.

To run the tests manually, run:

$ poetry run pytest

To run linting manually, run:

$ poetry run ruff check

To serve the documentation locally, run:

$ poetry run mkdocs serve check

(back to top)

Usage

Please refer to the documentation, or see the demos/ folder for example code, including test data.

(back to top)

Citing the codebase

Please use the following reference when citing the codebase or the kymata package:

TBC

(back to top)

Licence

Distributed under the MIT License. See LICENSE for more information.

(back to top)

References

[^1]: Thwaites, Wieser, Soltan, Wingfield, Parish, Yang, Lakra, Woolgar, Zhang (2024) The Kymata Atlas (In Prep.) [^2]: Thwaites, Zhang and Woolgar (2024) Information Processing Pathway Maps: A New Frontier in Cortical Processing (In Prep.)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kymata-1.0.3.tar.gz (158.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

kymata-1.0.3-py3-none-any.whl (180.6 kB view details)

Uploaded Python 3

File details

Details for the file kymata-1.0.3.tar.gz.

File metadata

  • Download URL: kymata-1.0.3.tar.gz
  • Upload date:
  • Size: 158.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for kymata-1.0.3.tar.gz
Algorithm Hash digest
SHA256 56f5acd92632f650777c125f27609291ad1bf54d712cc1dc09c4454c73e90486
MD5 e090843e460facfaea17bf21a1fa59f7
BLAKE2b-256 7f17ccbc3888db61e36da06b55ca0a9a2e4628be0b3a80c63d593c9c9f4251c0

See more details on using hashes here.

Provenance

The following attestation bundles were made for kymata-1.0.3.tar.gz:

Publisher: publish-to-pypi.yml on kymata-atlas/kymata-core

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file kymata-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: kymata-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 180.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for kymata-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 2f5a9a212f2be64bb8e0d113c831a4ea95be132483069e029dce71cd0d80ba24
MD5 630bc4f376ff4c5f1326e6d3f3dded1a
BLAKE2b-256 ed36207446542e17312897199e5a7b821707fdf10736a9e4d6cdb11e54fbcf26

See more details on using hashes here.

Provenance

The following attestation bundles were made for kymata-1.0.3-py3-none-any.whl:

Publisher: publish-to-pypi.yml on kymata-atlas/kymata-core

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page