Connectionists: Neo community review extended to Sep 29 - call for comments and feedback

[Malin Sandström]

Dear all,


INCF is asking for your help to review the Neo object model
<https://www.incf.org/sbp/neo>for electrophysiology data, to assess its
value as a community standard.

Participating is simple; read the INCF SBP committee review report
<https://f1000research.com/documents/11-658> on F1000 and leave your
feedback in the comments! You can comment to express your support, to point
out possibilities for improvement - or both. We are especially interested
in hearing from Neo users and from tool developers who have implemented
support for Neo or use Neo as part of their workflow.


Please give us your feedback in a comment as soon as possible, but latest
September 29: f1000research.com/documents/11-658

More information:

Neo <https://www.incf.org/sbp/neo> is an object model for handling
electrophysiology data in multiple formats. It is suitable for representing
data acquired from electroencephalographic, intracellular, or extracellular
recordings, or generated from simulations. Neo has been implemented as a
Python package for working with electrophysiology data, together with
support for reading a wide range of neurophysiology file formats (including
Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, Igor Pro),
and support for writing to a subset of these formats plus non-proprietary
formats including Kwik and HDF5.

Read more about Neo:
Project page <https://neuralensemble.org/neo/>
Documentation <https://neo.readthedocs.io/en/stable/>
Github <https://github.com/NeuralEnsemble/python-neo>
Paper <https://www.frontiersin.org/articles/10.3389/fninf.2014.00010/full>

-- 
Malin Sandström, PhD
Community Engagement Officer
malin.sandstrom at incf.org
ORCID: 0000-0002-8464-2494

International Neuroinformatics Coordinating Facility
Karolinska Institutet
Nobels väg 15 A
SE-171 77  Stockholm
Sweden
http://www.incf.org
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