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0.14.0 release notes #1626

Merged
merged 11 commits into from
Jan 20, 2025
11 changes: 6 additions & 5 deletions codemeta.json
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"license": "https://spdx.org/licenses/BSD-3-Clause",
"codeRepository": "https://github.com/NeuralEnsemble/python-neo",
"contIntegration": "https://github.com/NeuralEnsemble/python-neo/actions",
"dateModified": "2024-10-14",
"downloadUrl": "https://files.pythonhosted.org/packages/e0/0d/e973b7e8464b6f1d88022c46040f203d93c0b080af0e33702bb11873dbbb/neo-0.13.4.tar.gz",
"dateModified": "2025-01-17",
"downloadUrl": "",
"issueTracker": "https://github.com/NeuralEnsemble/python-neo/issues",
"name": "Neo",
"version": "0.13.4",
"version": "0.14.0",
"identifier": "RRID:SCR_000634",
"description": "Neo is a Python package for working with electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these formats plus non-proprietary formats including HDF5.\n\nThe goal of Neo is to improve interoperability between Python tools for analyzing, visualizing and generating electrophysiology data by providing a common, shared object model. In order to be as lightweight a dependency as possible, Neo is deliberately limited to represention of data, with no functions for data analysis or visualization.\n\nNeo is used by a number of other software tools, including SpykeViewer (data analysis and visualization), Elephant (data analysis), the G-node suite (databasing), PyNN (simulations), tridesclous_ (spike sorting) and ephyviewer (data visualization).\n\nNeo implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data with support for multi-electrodes (for example tetrodes). Neo's data objects build on the quantities package, which in turn builds on NumPy by adding support for physical dimensions. Thus Neo objects behave just like normal NumPy arrays, but with additional metadata, checks for dimensional consistency and automatic unit conversion.",
"applicationCategory": "neuroscience",
"releaseNotes": "https://neo.readthedocs.io/en/latest/releases/0.13.4.html",
"releaseNotes": "https://neo.readthedocs.io/en/latest/releases/0.14.0.html",
"funding": "https://cordis.europa.eu/project/id/945539",
"developmentStatus": "active",
"referencePublication": "https://doi.org/10.3389/fninf.2014.00010",
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{ "@type": "Person", "givenName": "Xin", "familyName": "Niu"},
{ "@type": "Person", "givenName": "Anthony", "familyName": "Pinto"},
{ "@type": "Person", "givenName": "Chris", "familyName": "Heydrick"},
{"@type": "Person", "givenName": "Nikhil", "familyName": "Chandra"}
{"@type": "Person", "givenName": "Nikhil", "familyName": "Chandra"},
{"@type": "Person", "givenName": "Luigi", "familyName": "Petrucco"}
]
}
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* Anthony Pinto [41]
* Xin Niu
* Nikhil Chandra [40]
* Luigi Petrucco [42]

1. Centre de Recherche en Neuroscience de Lyon, CNRS UMR5292 - INSERM U1028 - Universite Claude Bernard Lyon 1
2. Unité de Neuroscience, Information et Complexité, CNRS UPR 3293, Gif-sur-Yvette, France
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39. Massachusetts General Hospital, Department of Molecular Biology
40. Plexon Inc.
41. Paris Brain Institute
42. Istituto Italiano di Tecnologia (IIT), Italy



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.. toctree::
:maxdepth: 1

releases/0.14.0.rst
releases/0.13.4.rst
releases/0.13.3.rst
releases/0.13.2.rst
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========================
Neo 0.14.0 release notes
========================

17 January 2025

This release of Neo is now compatible with NumPy 2.0 for core and IOs (with exception of :class:`MedIO`) as well Python 3.13,
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and includes IO bug fixes with an eye toward a 1.0 release.

See all `pull requests`_ included in this release and the `list of closed issues`_.

Updated dependencies
--------------------

Neo now has a limit of NumPy >= 1.22.4

CI Improvements
---------------

A bug in the CI was fixed which ensures testing on the lowest (3.9) and highest (3.13) supported Python versions for :code:`RawIO` and :code:`IO` testing.

Testing of additional Python-NumPy combinations for core tests were added (NumPy 2.0, 2.1, and 2.1 with their respective Python versions).
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Bug fixes and improvements in IO modules
----------------------------------------

Bug fixes and/or improvements have been made to :class:`NeuroNexusIO`, :class:`OpenEphysBinaryIO`, :class:`MicromedIO`, :class:`IntanIO` and :class:`SpikeGLX`.

Acknowledgements
----------------

Thanks to Zach McKenzie, Heberto Mayorquin, Andrew Davison, Luigi Petrucco, Alessio Buccino, and Samuel Garcia.

.. _`pull requests` : https://github.com/NeuralEnsemble/python-neo/pulls?q=is%3Apr+is%3Aclosed+milestone%3A0.14.0

.. _`list of closed issues` : https://github.com/NeuralEnsemble/python-neo/issues?q=is%3Aissue%20state%3Aclosed%20milestone%3A0.14.0
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