<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body dir="auto"><div>+1<br><br><div><span style="background-color: rgba(255, 255, 255, 0); font-size: 13pt;">--</span></div><div><span style="background-color: rgba(255, 255, 255, 0);">Demian Wassermann, PhD<br><a dir="ltr" href="mailto:demian.wassermann@inria.fr" x-apple-data-detectors="true" x-apple-data-detectors-type="link" x-apple-data-detectors-result="1">demian.wassermann@inria.fr</a><br>Associate Research Professor (CR1)<br>Athena Project Team<br>INRIA Sophia Antipolis - Méditerranée <br><a dir="ltr" href="x-apple-data-detectors://2/1" x-apple-data-detectors="true" x-apple-data-detectors-type="address" x-apple-data-detectors-result="2/1">2004 route des lucioles - FR-06902</a> </span></div><div><span style="background-color: rgba(255, 255, 255, 0);"><br></span></div><div><span style="background-color: rgba(255, 255, 255, 0);"><br></span></div><div style="font-family: UICTFontTextStyleBody; -webkit-text-size-adjust: auto;"></div></div><div><br>On 4 Nov 2016, at 17:49, Matthew Brett <<a href="mailto:matthew.brett@gmail.com">matthew.brett@gmail.com</a>> wrote:<br><br></div><blockquote type="cite"><div><span>Hi,</span><br><span></span><br><span>On Fri, Nov 4, 2016 at 7:50 AM, Marmaduke Woodman <<a href="mailto:mmwoodman@gmail.com">mmwoodman@gmail.com</a>> wrote:</span><br><blockquote type="cite"><span>hi</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>I'm writing to poll for interest in a community oriented, NiPy-brand</span><br></blockquote><blockquote type="cite"><span>modeling library [1], for generic dynamical systems models such as those in</span><br></blockquote><blockquote type="cite"><span>DCM but also more realistic models e.g. neural mass models, DWI connectome</span><br></blockquote><blockquote type="cite"><span>based networks thereof, forward models for fMRI/EEG/MEG. Methods therein</span><br></blockquote><blockquote type="cite"><span>would include both forward simulation schemes (Euler-Maruyama etc) and model</span><br></blockquote><blockquote type="cite"><span>inversion using e.g. HMC or variational schemes in PyMC3.</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Most these elements are already implemented, across various NiPy libs and</span><br></blockquote><blockquote type="cite"><span>TVB, but the</span><br></blockquote><blockquote type="cite"><span> hope would be to make their cross-section, ie. nonlinear dynamical network</span><br></blockquote><blockquote type="cite"><span>modeling, a more accessible tool in the neuroimaging toolbox, by forming a</span><br></blockquote><blockquote type="cite"><span>library bringing all those elements together.</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Any questions, suggestions, criticisms are welcome.</span><br></blockquote><span></span><br><span>That would be excellent!</span><br><span></span><br><span>How can we help?</span><br><span></span><br><span>Best,</span><br><span></span><br><span>Matthew</span><br><span>_______________________________________________</span><br><span>Neuroimaging mailing list</span><br><span><a href="mailto:Neuroimaging@python.org">Neuroimaging@python.org</a></span><br><span><a href="https://mail.python.org/mailman/listinfo/neuroimaging">https://mail.python.org/mailman/listinfo/neuroimaging</a></span><br></div></blockquote></body></html>