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@@ -77,21 +77,34 @@ <h1>OpenWorm News</h1>
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<divclass="page-header">
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<h1>June 2023</h1>
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<h3>1) OpenWorm @ C. elegans 2023</h3>
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<h3>1) OpenWorm @ <i>C. elegans</i> 2023</h3>
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<pclass="lead">The OpenWorm team were present at <ahref="https://genetics-gsa.org/celegans2023/">the main <i>C. elegans</i> scientific conference</a> in Glasgow in June 2023.</p>
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<pclass="lead">We presented an update on the recent activities in the project (click on the poster below) and connected with a number of groups who are acquiring leading edge experimental data which can be used to help build and constrain our worm models.</p>
<pclass="lead">As part of a recent Google Summer of Code project by Rahul Sonkar, an interactive tutorial for the Hodgkin Huxley model of neuronal activity was developed.
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This <ahref="https://github.com/openworm/hodgkin_huxley_tutorial/blob/master/notebooks/Python_HH_version/README.md">Jupyter notebook based tutorial</a> can be used to investigate how ion channel dynamical properties underlie the generation of the action potential in neurons.</p>
<h3>3) Updated 2D worm body model visualisations</h3>
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<pclass="lead">We have...</p>
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<pclass="lead">We have been investigating multiple options for incorporating 2D worm body models into our simulation pipeline to complement the full 3D Sibernetic-based worm body model.</p>
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<pclass="lead">Options investigated so far include the model of <ahref="https://github.com/openworm/CE_locomotion">Olivares, Izquierdo & Beer</a>, as well as
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the <ahref="https://github.com/OpenSourceBrain/CelegansNeuromechanicalGaitModulation">Boyle, Berri and Cohen</a> model, for which we have added a new Python based visualisation tool:
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