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Merge pull request #1809 from zm711/release-14.4
Release 0.14.4
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README.rst

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To cite Neo in publications, see CITATION.txt
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:copyright: Copyright 2010-2025 by the Neo team, see doc/source/authors.rst.
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:copyright: Copyright 2010-2026 by the Neo team, see doc/source/authors.rst.
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:license: 3-Clause Revised BSD License, see LICENSE.txt for details.
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Funding

codemeta.json

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"license": "https://spdx.org/licenses/BSD-3-Clause",
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"codeRepository": "https://github.com/NeuralEnsemble/python-neo",
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"contIntegration": "https://github.com/NeuralEnsemble/python-neo/actions",
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"dateModified": "2025-10-13",
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"downloadUrl": "https://files.pythonhosted.org/packages/12/74/2906034ce92f7fb76dac5f095dcbb2b061f55b1f6eda53fc45335c1689e2/neo-0.14.3.tar.gz",
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"dateModified": "2026-01-01",
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"downloadUrl": "",
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"issueTracker": "https://github.com/NeuralEnsemble/python-neo/issues",
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"name": "Neo",
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"version": "0.14.3",
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"version": "0.14.4",
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"identifier": "RRID:SCR_000634",
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"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.",
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"applicationCategory": "neuroscience",
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"releaseNotes": "https://neo.readthedocs.io/en/latest/releases/0.14.3.html",
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"releaseNotes": "https://neo.readthedocs.io/en/latest/releases/0.14.4.html",
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"funding": "https://cordis.europa.eu/project/id/945539",
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"developmentStatus": "active",
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"referencePublication": "https://doi.org/10.3389/fninf.2014.00010",
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{"@type": "Person", "givenName": "Paul", "familyName": "Adkisson"},
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{"@type": "Person", "givenName": "Akshaj", "familyName": "Verma"},
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{"@type": "Person", "givenName": "Letizia", "familyName": "Signorelli"},
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{"@type": "Person", "givenName": "Daniel", "familyName": "Parthier"}
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{"@type": "Person", "givenName": "Daniel", "familyName": "Parthier"},
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{"@type": "Person", "givenName": "Kuntal", "familyName": "Kokate"},
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]
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}

doc/source/authors.rst

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* Akshaj Verma [46]
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* Letizia Signorelli [47]
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* Daniel Parthier [48]
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* Kuntal Kokate [49]
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1. Centre de Recherche en Neuroscience de Lyon, CNRS UMR5292 - INSERM U1028 - Université Claude Bernard Lyon 1
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2. Unité de Neuroscience, Information et Complexité, CNRS UPR 3293, Gif-sur-Yvette, France
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46. Brain Center, University Medical Center Utrecht, Utrecht University, The Netherlands
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47. Centre for Molecular Medicine Norway (NCMM), University of Oslo, Norway
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48. Charité - Universitätmedizin Berlin, Freie Universität Berlin and Humboldt Universität zu Berlin
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49. Swartz Center for Computational Neuroscience, University of California, San Diego
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doc/source/conf.py

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# General information about the project.
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project = "Neo"
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copyright = "2010-2025, " + AUTHORS
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copyright = "2010-2026, " + AUTHORS
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# The version info for the project you're documenting, acts as replacement for
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# |version| and |release|, also used in various other places throughout the

doc/source/releases.rst

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.. toctree::
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:maxdepth: 1
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releases/0.14.4.rst
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releases/0.14.3.rst
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releases/0.14.2.rst
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releases/0.14.1.rst

doc/source/releases/0.14.4.rst

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========================
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Neo 0.14.4 release notes
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========================
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12 March 2026
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This release of Neo includes many bug fixes in various IOs with an eye to a 1.0 release.
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See all `pull requests`_ included in this release and the `list of closed issues`_.
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Dependency Changes
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------------------
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Per our policy of NEP29 + 1 year, we have dropped support for NumPy < 1.25.
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Testing
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-------
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We are now testing against Python 3.14 for core tests with all possible combinations of NumPy and Python that we support. IO tests were updated to test against Python 3.9 (oldest supported) and Python 3.14 (newest supported) Python versions.
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:code:`BaseRawIO` Change
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------------------------
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The signal stream dtype name was lengthened from :code:`U64` to a :code:`U128` to deal with long file paths being incorporated into
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file names. See `file name issue`_ on SpikeInterface repo for an example of the truncation which required this fix.
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Bug fixes and improvements in IO modules
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----------------------------------------
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Bug fixes and/or improvements have been made to :code:`AxonIO`, :code:`BrainVisionIO`, :code:`SpikeGLXIO`.
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Acknowledgements
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----------------
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Thanks to Andrew Davison, Zach McKenzie, Kuntal Kokate, Heberto Mayorquin, Samuel Garcia, Alessio Buccino, and Chris Halcrow
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.. _`pull requests` : https://github.com/NeuralEnsemble/python-neo/pulls?q=is%3Apr+is%3Aclosed+milestone%3A0.14.4
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.. _`list of closed issues` : https://github.com/NeuralEnsemble/python-neo/issues?q=is%3Aissue%20state%3Aclosed%20milestone%3A0.14.4
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.. _`file name issue` : https://github.com/SpikeInterface/spikeinterface/issues/4185

pyproject.toml

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[project]
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name = "neo"
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version = "0.15.0.dev0"
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version = "0.14.4"
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authors = [{name = "Neo authors and contributors"}]
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description = "Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats"
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readme = "README.rst"

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