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13 changes: 8 additions & 5 deletions codemeta.json
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Expand Up @@ -4,15 +4,15 @@
"license": "https://spdx.org/licenses/BSD-3-Clause",
"codeRepository": "https://github.com/NeuralEnsemble/python-neo",
"contIntegration": "https://github.com/NeuralEnsemble/python-neo/actions",
"dateModified": "2026-03-12",
"downloadUrl": "https://files.pythonhosted.org/packages/7f/b1/e9228d616c817098b673ab990e82acb431856559f4e0235a687854df1ef4/neo-0.14.4.tar.gz",
"dateModified": "2026-06-24",
"downloadUrl": "",
"issueTracker": "https://github.com/NeuralEnsemble/python-neo/issues",
"name": "Neo",
"version": "0.14.4",
"version": "0.14.5",
"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/0.14.4.html",
"releaseNotes": "https://neo.readthedocs.io/en/latest/releases/0.14.5.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": "Akshaj", "familyName": "Verma"},
{"@type": "Person", "givenName": "Letizia", "familyName": "Signorelli"},
{"@type": "Person", "givenName": "Daniel", "familyName": "Parthier"},
{"@type": "Person", "givenName": "Kuntal", "familyName": "Kokate"}
{"@type": "Person", "givenName": "Kuntal", "familyName": "Kokate"},
{ "@type": "Person", "givenName": "Reema", "familyName": "Gupta" },
{ "@type": "Person", "givenName": "Sai Asish", "familyName": "Yamani" },
{ "@type": "Person", "alternateName": "LizzyMcKay@github" }
]
}
4 changes: 4 additions & 0 deletions doc/source/authors.rst
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* Letizia Signorelli [47]
* Daniel Parthier [48]
* Kuntal Kokate [49]
* LizzyMcKay (github)
* Reema Gupta [50]
* Sai Asish Y

1. Centre de Recherche en Neuroscience de Lyon, CNRS UMR5292 - INSERM U1028 - Université Claude Bernard Lyon 1
2. Unité de Neuroscience, Information et Complexité, CNRS UPR 3293, Gif-sur-Yvette, France
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47. Centre for Molecular Medicine Norway (NCMM), University of Oslo, Norway
48. Charité - Universitätmedizin Berlin, Freie Universität Berlin and Humboldt Universität zu Berlin
49. Swartz Center for Computational Neuroscience, University of California, San Diego
50. Ludwig-Maximilians-Universität München, Munich, Germany



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1 change: 1 addition & 0 deletions doc/source/releases.rst
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.. toctree::
:maxdepth: 1

releases/0.14.5.rst
releases/0.14.4.rst
releases/0.14.3.rst
releases/0.14.2.rst
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37 changes: 37 additions & 0 deletions doc/source/releases/0.14.5.rst
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========================
Neo 0.14.5 release notes
========================

23 June 2026

This release of Neo includes many bug fixes across various IOs, removal of previously deprecated features, and improvements to the SpikeGLX Neuropixels probe detection infrastructure.

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


Removed deprecated features
----------------------------

The ``load_sync_channel`` parameter has been removed from :code:`SpikeGLXRawIO` and :code:`OpenEphysBinaryRawIO`, as it was deprecated in a prior release.


Bug fixes and improvements in IO modules
-----------------------------------------

Bug fixes and/or improvements have been made to :code:`AxonaIO`, :code:`BlackrockIO`, :code:`IntanRawIO`, :code:`OpenEphysBinaryIO`, :code:`SpikeGadgetsRawIO`, :code:`SpikeGLXIO`, and :code:`TdtIO`.


SpikeGLX improvements
~~~~~~~~~~~~~~~~~~~~~~

:code:`SpikeGLXIO` now uses a ProbeTable to infer the Neuropixels probe type, replacing hardcoded probe type detection. A GitHub Action was added to automatically keep the probe features table up-to-date from the upstream ProbeTable. Additionally, a missing ``firstSample`` field in SpikeGLX meta files now defaults to 0, and the stream-collision error message has been improved.


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

Thanks to Alessio Buccino, Andrew Davison, Heberto Mayorquin, LizzyMcKay, Michael Denker, Reema Gupta, Sai Asish Yamani, and Zach McKenzie.

.. _`pull requests` : https://github.com/NeuralEnsemble/python-neo/pulls?q=is%3Apr+is%3Aclosed+milestone%3A0.14.5

.. _`list of closed issues` : https://github.com/NeuralEnsemble/python-neo/issues?q=is%3Aissue%20state%3Aclosed%20milestone%3A0.14.5
2 changes: 1 addition & 1 deletion pyproject.toml
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[project]
name = "neo"
version = "0.15.0dev"
version = "0.14.5"
authors = [{name = "Neo authors and contributors"}]
description = "Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats"
readme = "README.rst"
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