D-GNNs: developing DevoGraph for computational developmental biology
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Contributor: Himanshu Chougule
Mentors:Jesse Parent, Bradly Alicea, Jiahang Li, Mayukh Deb
This project is about using Graph Neural Networks(GNNs) as a method to discover underlying connectivity to characterize a growing network that undergoes shape as well as size transformations for C. elegans. There are three parts to this project, all of which aim to integrate previous work on embryo networks, developmental connectomes and embryo differentiation.
- Implementation of an interface between HippoUnit and Neuroptimus to enable the optimization of a broader range of neuronal behaviors, extend the current supported tests to include all HippoUnit tests.
- Integrate the HippoUnit with the Neuroptimus’s GUI so that users can run optimizations directly from the interface.
- Integration of HippoUnit's useful outputs and plots with Neuroptimus for visualization and analysis purposes.