[Neuroimaging] Interest in modeling library for NiPy

[JB Poline]

Yes, this would great!
JB

On 4 November 2016 at 10:09, Demian Wassermann
<demian.wassermann at inria.fr> wrote:
> +1
>
> --
> Demian Wassermann, PhD
> demian.wassermann at inria.fr
> Associate Research Professor (CR1)
> Athena Project Team
> INRIA Sophia Antipolis - Méditerranée
> 2004 route des lucioles - FR-06902
>
>
>
> On 4 Nov 2016, at 17:49, Matthew Brett <matthew.brett at gmail.com> wrote:
>
> Hi,
>
> On Fri, Nov 4, 2016 at 7:50 AM, Marmaduke Woodman <mmwoodman at gmail.com>
> wrote:
>
> hi
>
>
> I'm writing to poll for interest in a community oriented, NiPy-brand
>
> modeling library [1], for generic dynamical systems models such as those in
>
> DCM but also more realistic models e.g.  neural mass models, DWI connectome
>
> based networks thereof, forward models for fMRI/EEG/MEG. Methods therein
>
> would include both forward simulation schemes (Euler-Maruyama etc) and model
>
> inversion using e.g. HMC or variational schemes in PyMC3.
>
>
> Most these elements are already implemented, across various NiPy libs and
>
> TVB, but the
>
> hope would be to make their cross-section, ie. nonlinear dynamical network
>
> modeling, a more accessible tool in the neuroimaging toolbox, by forming a
>
> library bringing all those elements together.
>
>
>
> Any questions, suggestions, criticisms are welcome.
>
>
> That would be excellent!
>
> How can we help?
>
> Best,
>
> Matthew
> _______________________________________________
> Neuroimaging mailing list
> Neuroimaging at python.org
> https://mail.python.org/mailman/listinfo/neuroimaging
>
>
> _______________________________________________
> Neuroimaging mailing list
> Neuroimaging at python.org
> https://mail.python.org/mailman/listinfo/neuroimaging
>