Call for community review of Neo - deadline Sept 29

INCF is asking for your help to review the Neo object model for electrophysiology data, to assess its value as a community standard.

Participating is simple; read the INCF SBP committee review report 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.

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. 

Feedback from the community is an important part of our review process; it helps us ensure that the standard has community support and is useful and practical to the community. By commenting, you contribute to improving the standard for current and future users!

The community review period has been extended to September 29.