Name | pylabianca JSON |
Version |
0.1
JSON |
| download |
home_page | |
Summary | Package for analysis of single-neuron spike data. |
upload_time | 2023-10-31 09:43:18 |
maintainer | |
docs_url | None |
author | |
requires_python | >=3.8 |
license | BSD-3-Clause |
keywords |
neuroscience
brain
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# pylabianca
Python tools for spike and LFP analysis.
## installation
Currently - just install directly from github (you will need git for that, and of course do it from your terminal/console):
```
pip install git+https://github.com/labianca/pylabianca
```
## docs
Online docs are currently under construction.
You can get the example human data [here](https://www.dropbox.com/scl/fo/wevgovmxv8qrl52w12b6z/h?rlkey=1je64v2h1h6zyqhzmhiykpqqu&dl=0).
Below you can find jupyter notebook examples showcasing `pylabianca` features.
* [introductory notebook](doc/intro_overview.ipynb) - a general overview using human intracranial spike data (sorted with Osort).
* [FiedTrip data example notebook](doc/fieldtrip_example.ipynb) - another broad overview using fieldtrip sample spike data from non-human primates.
* [decoding example](doc/decoding_example.ipynb) - overview of decoding with pylabianca
To better understand the data formats read natively by pylabianca (and how to read other formats) see [data formats page](doc/data_formats.md).
Raw data
{
"_id": null,
"home_page": "",
"name": "pylabianca",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": "Miko\u0142aj Magnuski <mmagnuski@swps.edu.pl>",
"keywords": "neuroscience,brain",
"author": "",
"author_email": "",
"download_url": "https://files.pythonhosted.org/packages/b2/0c/424ebfc31700f4939312570a9ae7f99bbb68306e5bb6a252d145d8b20917/pylabianca-0.1.tar.gz",
"platform": null,
"description": "# pylabianca\r\nPython tools for spike and LFP analysis.\r\n\r\n## installation\r\nCurrently - just install directly from github (you will need git for that, and of course do it from your terminal/console):\r\n```\r\npip install git+https://github.com/labianca/pylabianca\r\n```\r\n\r\n## docs\r\nOnline docs are currently under construction. \r\n\r\nYou can get the example human data [here](https://www.dropbox.com/scl/fo/wevgovmxv8qrl52w12b6z/h?rlkey=1je64v2h1h6zyqhzmhiykpqqu&dl=0).\r\n\r\nBelow you can find jupyter notebook examples showcasing `pylabianca` features.\r\n* [introductory notebook](doc/intro_overview.ipynb) - a general overview using human intracranial spike data (sorted with Osort). \r\n* [FiedTrip data example notebook](doc/fieldtrip_example.ipynb) - another broad overview using fieldtrip sample spike data from non-human primates.\r\n* [decoding example](doc/decoding_example.ipynb) - overview of decoding with pylabianca\r\n\r\nTo better understand the data formats read natively by pylabianca (and how to read other formats) see [data formats page](doc/data_formats.md).\r\n",
"bugtrack_url": null,
"license": "BSD-3-Clause",
"summary": "Package for analysis of single-neuron spike data.",
"version": "0.1",
"project_urls": {
"Homepage": "https://github.com/labianca/pylabianca"
},
"split_keywords": [
"neuroscience",
"brain"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "b9cceff24e5616db476cafaca725d26fd932bb4b904438fe3eb220ac46e69462",
"md5": "a9d4ec08c261c5d915e80b9971282fdc",
"sha256": "4d0a4a90ecbf4866852a80a23a089e46066ee3c142169540c8241563f2905151"
},
"downloads": -1,
"filename": "pylabianca-0.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "a9d4ec08c261c5d915e80b9971282fdc",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 92848,
"upload_time": "2023-10-31T09:43:16",
"upload_time_iso_8601": "2023-10-31T09:43:16.149905Z",
"url": "https://files.pythonhosted.org/packages/b9/cc/eff24e5616db476cafaca725d26fd932bb4b904438fe3eb220ac46e69462/pylabianca-0.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "b20c424ebfc31700f4939312570a9ae7f99bbb68306e5bb6a252d145d8b20917",
"md5": "e942e3d9e31813d8f714f7cf01ab7357",
"sha256": "b7fc4c4f5dbefcda06723e8737a65ae6a90d276aee2428531faad5fa0b393e5d"
},
"downloads": -1,
"filename": "pylabianca-0.1.tar.gz",
"has_sig": false,
"md5_digest": "e942e3d9e31813d8f714f7cf01ab7357",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 81100,
"upload_time": "2023-10-31T09:43:18",
"upload_time_iso_8601": "2023-10-31T09:43:18.180948Z",
"url": "https://files.pythonhosted.org/packages/b2/0c/424ebfc31700f4939312570a9ae7f99bbb68306e5bb6a252d145d8b20917/pylabianca-0.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-10-31 09:43:18",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "labianca",
"github_project": "pylabianca",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "pylabianca"
}