#CCN2019 by the numbers

I am in Berlin for the Cognitive Computational Neuroscience (CCN) conference. It is an interesting collection of people working on more human (though some animal) cognitive neuroscience, often using neural network models. In its third year, CCN is an interesting contrast to Cosyne, a conference more focused on traditional systems neuroscience along with computational modeling.

While I’m here, I thought I would do a quick analysis along the lines of what I have done in years past for Cosyne. I only have one year’s worth of data so there is a limit on what I can analyze but I wanted to know – who was here?

The most posters (abstracts) were from the lab of Simon Kelly. There is not a lot of overlap here with Cosyne with the exception of Tim Behrens – a bountiful contributor to the Cosyne 2019 conference as well – and perhaps Wei Ji Ma? So it seems the communities are at least somewhat segregated for now.

There is also the co-citation network. Who was on posters with whom? That is above (click through for high-resolution PDF). There are ~222 connected components (distinct subgraphs, visualized at the top of the page) and the largest connected component is relatively small. It will be interesting to see if this changes as the community coheres over the next few years.

That’s it for this year! Next year I will try to take data from the (short) life history of the conference.


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