A happy consequence of the media exposure I have received is that all sorts of people contact me when they have questions about déjà vu. Often, people want to find out about personal experiences they or those they know have had, but every now and again, school students will contact me for help with their projects.

One student who contacted me earlier this year was Cyril Vivek Subramanian, from Sydney. Cyril Vivek was researching a video to enter for the University of Sydney Sleek Geeks Science Eureka Prize, and I had a couple of conversations with him and his mother via email and Skype to help him with this. He was keen to do a lot of background research himself, and I found myself thankful for being able to refer him to the Frontiers for Young Minds article I’d previously written with Julia Teale.

The video didn’t end up being shortlisted, but I was thoroughly impressed with it, and delighted to be able to share it here. It is always great to be able to guide and work with young people, and a privilege to see students like Cyril Vivek excited about science and able to communicate it so well. Bravo!

2 thoughts on “Science Communication

  1. Decision tree neurons combined with some connectionist architecture seems like a very powerful model to me. Any time you run into an inconsistency you can simply add another branch to the tree and resolve the issue. And actually some of the very greedy (fast) tree learning algorithms give you good generalization. In part because the trees are larger than with something more sophisticated like ID3.
    Anyway, don’t mind me and my stream of consciousness comments.


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