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    Of course.<br>
    A global convergence would great! (neo team already plane to propose
    to merge with nitime).<br>
    <br>
    But at the moment it is not so easy:<br>
    &nbsp;nitime = object model + analysis<br>
    &nbsp;nibabel = IO collections for NI<br>
    &nbsp;neo = object model + IO collection for electrophysiology<br>
    <br>
    The main work is that nitime's object model and neo's object model
    differ.<br>
    nitime objects are neutral.<br>
    Neo object are colored for the use.For example, neo also add
    containers objects ("one to many" and "many to many" relationship
    between object)<br>
    <br>
    But doing a conversion script could be very easy (if loosing the
    relationship between objects):<br>
    neo.AnalogSignal &gt;&gt;&gt;
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    nittime.TimeSerie<br>
    neo.SpikeTrain &gt;&gt;&gt; nittime.TimeArrays<br>
    neo.EpochArray &gt;&gt;&gt; list of nitime.Epoch<br>
    neo.EventArray &gt;&gt;&gt; list of nitime.Event<br>
    neo.Epoch &gt;&gt;&gt; nitime.Epoch<br>
    neo.Event &gt;&gt;&gt; nitime.Event<br>
    <br>
    <br>
    <br>
    <br>
    <br>
    <br>
    <br>
    Le 15/02/2012 23:00, Ariel Rokem a &eacute;crit&nbsp;:
    <blockquote
cite="mid:CA+X4w0yV=3O+Ht-YTZV-LEN3p7jy--XvoeyU8wjAYsaFLqeUQQ@mail.gmail.com"
      type="cite">Hi Samuel,&nbsp;
      <div><br>
      </div>
      <div>Congratulations on the release!&nbsp;</div>
      <div><br>
      </div>
      <div>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&nbsp;nitime can be used for
        any kind of time-series data (including data from single-cell
        recordings: <a moz-do-not-send="true"
          href="http://nipy.sourceforge.net/nitime/examples/grasshopper.html"
          target="_blank">http://nipy.sourceforge.net/nitime/examples/grasshopper.html</a>),
        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.</div>
      <div><br>
      </div>
      <div>Cheers,&nbsp;</div>
      <div><br>
      </div>
      <div>Ariel &nbsp;&nbsp;</div>
      <div><br>
      </div>
      <div><br>
      </div>
      <div><br>
        <div class="gmail_quote">On Wed, Feb 15, 2012 at 12:58 AM,
          Samuel Garcia <span dir="ltr">&lt;<a moz-do-not-send="true"
              href="mailto:sgarcia@olfac.univ-lyon1.fr" target="_blank">sgarcia@olfac.univ-lyon1.fr</a>&gt;</span>
          wrote:<br>
          <blockquote class="gmail_quote" style="margin:0 0 0
            .8ex;border-left:1px #ccc solid;padding-left:1ex">Nitime is
            oriented for time series of neuro imaging.<br>
            <br>
            Neo offer a complete data model center around
            electrophysiology (in vivo<br>
            or simulations) with more objects than nitime (for this
            fields of course):<br>
            RecodingChannelGroup +RecodingChannel + Segment + Block
            +Unit+...<br>
            <br>
            Samuel<br>
            <br>
            <br>
            <br>
            <br>
            <br>
            Le 14/02/2012 16:15, Larry Eisenman a &eacute;crit :<br>
            <div>
              <div>&gt; Samuel Garcia&lt;sgarcia&lt;at&gt; &nbsp;<a
                  moz-do-not-send="true"
                  href="http://olfac.univ-lyon1.fr" target="_blank">olfac.univ-lyon1.fr</a>&gt;
                &nbsp;writes:<br>
                &gt;<br>
                &gt;&gt;<br>
                &gt;&gt; &nbsp; &nbsp; &nbsp;Dear scipy list,<br>
                &gt;&gt; &nbsp; &nbsp; &nbsp;We are proud to announce the 0.2.0 release
                of Neo, a Python library for<br>
                &gt; working with<br>
                &gt;&gt; &nbsp; &nbsp; &nbsp;electrophysiology data, whether from
                biological experiments or from<br>
                &gt;&gt; &nbsp; &nbsp; &nbsp;simulations.<br>
                &gt; ....<br>
                &gt;<br>
                &gt; How does this compare/relate to the Nitime module
                of the Nipy project<br>
                &gt; (<a moz-do-not-send="true"
                  href="http://nipy.sourceforge.net/nitime/"
                  target="_blank">http://nipy.sourceforge.net/nitime/</a>)?<br>
                &gt;<br>
                &gt; Larry<br>
                &gt;<br>
                &gt; _______________________________________________<br>
                &gt; SciPy-User mailing list<br>
                &gt; <a moz-do-not-send="true"
                  href="mailto:SciPy-User@scipy.org" target="_blank">SciPy-User@scipy.org</a><br>
                &gt; <a moz-do-not-send="true"
                  href="http://mail.scipy.org/mailman/listinfo/scipy-user"
                  target="_blank">http://mail.scipy.org/mailman/listinfo/scipy-user</a><br>
                <br>
              </div>
            </div>
            <div>--<br>
              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~<br>
              Samuel Garcia<br>
              Lyon Neuroscience<br>
              CNRS - UMR5292 - &nbsp;INSERM U1028 - &nbsp;Universite Claude
              Bernard LYON 1<br>
              Equipe R et D<br>
              50, avenue Tony Garnier<br>
              69366 LYON Cedex 07<br>
              FRANCE<br>
              T&eacute;l : 04 37 28 74 24<br>
              Fax : 04 37 28 76 01<br>
              <a moz-do-not-send="true"
                href="http://olfac.univ-lyon1.fr/unite/equipe-07/"
                target="_blank">http://olfac.univ-lyon1.fr/unite/equipe-07/</a><br>
              <a moz-do-not-send="true"
                href="http://neuralensemble.org/trac/OpenElectrophy"
                target="_blank">http://neuralensemble.org/trac/OpenElectrophy</a><br>
              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~<br>
              <br>
            </div>
            <div>
              <div>_______________________________________________<br>
                SciPy-User mailing list<br>
                <a moz-do-not-send="true"
                  href="mailto:SciPy-User@scipy.org" target="_blank">SciPy-User@scipy.org</a><br>
                <a moz-do-not-send="true"
                  href="http://mail.scipy.org/mailman/listinfo/scipy-user"
                  target="_blank">http://mail.scipy.org/mailman/listinfo/scipy-user</a><br>
              </div>
            </div>
          </blockquote>
        </div>
        <br>
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      <br>
      <pre wrap="">_______________________________________________
SciPy-User mailing list
<a class="moz-txt-link-abbreviated" href="mailto:SciPy-User@scipy.org">SciPy-User@scipy.org</a>
<a class="moz-txt-link-freetext" href="http://mail.scipy.org/mailman/listinfo/scipy-user">http://mail.scipy.org/mailman/listinfo/scipy-user</a>
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    </blockquote>
    <br>
    <pre class="moz-signature" cols="72">-- 
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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
T&eacute;l : 04 37 28 74 24
Fax : 04 37 28 76 01
<a class="moz-txt-link-freetext" href="http://olfac.univ-lyon1.fr/unite/equipe-07/">http://olfac.univ-lyon1.fr/unite/equipe-07/</a>
<a class="moz-txt-link-freetext" href="http://neuralensemble.org/trac/OpenElectrophy">http://neuralensemble.org/trac/OpenElectrophy</a>
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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