solarbird: (vision)
[personal profile] solarbird
Here are last week's papers, or more accurately, papers I read last week and bits of the week before:

"Neural Models of Bayesian Belief Propagation" (very hard, but interesting; I learned some probability while chasing down terms, yay)
"Real-Time Classification fo Electromyographic Signals for Robotic Control" (much easier to get through; very interesting work; one of the authors is nr. 1 on my list of who I'd like to talk to if I get to interview)
"Mechanisms of Human Motion Perception Revealed by a New Cyclopean Illusion" (quite an old paper, compared to most, but still new to me. Presumably it's held up, since it's still on the primary author's web page XD )
"The Analysis of Visual Motion: A Comparison of Neuronal and Psychophysical Performance" (another older paper, but I learned some things about data analysis figuring out terms)

Here are this week's papers:

"On Space, Time and Language: for the Next Century, Timing is (Almost) Everything" (very short paper, very easy reading)
"Competitive Learning with Floating-Gate Circuits" (read this one once a few weeks ago, didn't get much from it; going at it again and getting a lot more. I don't have enough EE to understand a lot of the details, but, well, I'm getting more this time than last. Also, I'm understanding some of the references that I didn't before.)
"Adaptive CMOS: From Biological Inspiration to Systems-on-a-Chip" (similar comments to the previous paper, really, tho' I got more from this one the first read than the previous)
"Neural Correlates of Second-Language Word Learning: Minimal Instruction Produces Rapid Change" (this one's next in the queue)

I've read a bunch of other papers as well queued up next, and I read some other papers before last week, but I don't have them printed out and in front of me. La!

Today, some other people are in interviews. Also tomorrow. There are two rounds; you get invited to one or the other but not both. Hopefully I'll be in the March round, and the February around is all the people they're already pretty sure they want as long as they interview well. Emotionally, of course, I'm trying not to be convinced that they've already written me off. AGH.

[ETA: I am reminded of a non-graduate-school related lecture presentation I read late last week or early this, I forget which. 90 pages on a new cosmology model. It's keen. However, these are only neurobio papers co-authored by people at the grad school to which I'm applying. La.]

Date: 2006-02-10 08:19 am (UTC)
From: [identity profile] daspatrick.livejournal.com
Yeah Bayesian, what what! Who wrote that paper?
(deleted comment)

Date: 2006-02-10 06:27 pm (UTC)
From: [identity profile] daspatrick.livejournal.com
Geez, I know (http://bma.apl.washington.edu/) what (http://www.google.com/url?sa=t&ct=res&cd=1&url=http%3A//www.wrh.noaa.gov/sew/WorkShop_05/session_2/Tewson.pdf&ei=wtnsQ76gMIuEpgKSjrC8Cw&sig2=AAJyLKdCXWCyNfgG3BU7pw) Bayesian (http://scholar.google.com/url?sa=U&q=http://www.stat.washington.edu/raftery/Research/PDF/fadoua2005.pdf) statistics (http://ams.confex.com/ams/Annual2006/techprogram/programexpanded_309.htm) are, I just wanted to know who wrote the paper!

January 2026

S M T W T F S
    1 23
4 56 7 8 910
1112 131415 1617
18192021222324
25262728293031

Most Popular Tags