[SciPy-User] [ANN] release of Neo 0.2.0

Ariel Rokem arokem@gmail....
Wed Feb 15 16:00:56 CST 2012


Hi Samuel,

Congratulations on the release!

Concerning the comparison with nitime: At the moment, support for reading
data from files in nitime is only implemented for neuroimaging data (using
nibabel as an optional dependency, only for this bit), but the core classes
in nitime can be used for any kind of time-series data (including data from
single-cell recordings:
http://nipy.sourceforge.net/nitime/examples/grasshopper.html), assuming the
data has already somehow been read into numpy arrays. In fact, it would be
great to have io functions in nitime which read data using neo and
initialize nitime.TimeSeries objects for further analysis.

Cheers,

Ariel



On Wed, Feb 15, 2012 at 12:58 AM, Samuel Garcia <sgarcia@olfac.univ-lyon1.fr
> wrote:

> Nitime is oriented for time series of neuro imaging.
>
> Neo offer a complete data model center around electrophysiology (in vivo
> or simulations) with more objects than nitime (for this fields of course):
> RecodingChannelGroup +RecodingChannel + Segment + Block +Unit+...
>
> Samuel
>
>
>
>
>
> Le 14/02/2012 16:15, Larry Eisenman a écrit :
> > Samuel Garcia<sgarcia<at>  olfac.univ-lyon1.fr>  writes:
> >
> >>
> >>      Dear scipy list,
> >>      We are proud to announce the 0.2.0 release of Neo, a Python
> library for
> > working with
> >>      electrophysiology data, whether from biological experiments or from
> >>      simulations.
> > ....
> >
> > How does this compare/relate to the Nitime module of the Nipy project
> > (http://nipy.sourceforge.net/nitime/)?
> >
> > Larry
> >
> > _______________________________________________
> > SciPy-User mailing list
> > SciPy-User@scipy.org
> > http://mail.scipy.org/mailman/listinfo/scipy-user
>
> --
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Samuel Garcia
> Lyon Neuroscience
> CNRS - UMR5292 -  INSERM U1028 -  Universite Claude Bernard LYON 1
> Equipe R et D
> 50, avenue Tony Garnier
> 69366 LYON Cedex 07
> FRANCE
> Tél : 04 37 28 74 24
> Fax : 04 37 28 76 01
> http://olfac.univ-lyon1.fr/unite/equipe-07/
> http://neuralensemble.org/trac/OpenElectrophy
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
>
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