I am a graduate student researcher in Lynne Bernstein's Communications Neuroscience lab at House Ear Institute.
I previously spent 10-week rotations in Norberto Grzywacz's Visual Processing Lab and Bosco Tjan's T-lab.
Lately, I have been using the R language/environment to do some statistics. I took Professor Wilcox's statistics course, and I have been using his book as a reference and some tools he provides at his web page. One tool I use a lot is called akerd. I modified his version to also return x, y coordinates of the resulting smooth. Anyway, I realized I didn't really understand what exactly it does, so I did some reading. I found a nice introduction to kernel density estimation. Now I just need to figure out what it means for the kernel to be adaptive (that's the a in akerd).
On February 20th I will be presenting a paper to my fellow 1st and 2nd year neuroscience students. First, though, I need to decide what paper to present. Here are some of the papers I'm considering:
As part of my involvement in the Neuroscience Graduate Program, I am sitting on the organizing committee for the Graduate Research Symposium. This event is intended to show off the department's grad student work to prospective students.
My role has been to design a poster advertising the event. I put together the poster using images from labs in the department. I used a nice green and blue staining image from Cyrus Arman in Sampath's lab as a background texture, but I couldn't decide how much to change the image. I made three versions, each only differing in the treatment of the large background image. Here they are, each being a large-ish pdf:
The Poster
Letter-sized poster