Category: Psychophysics

CSHL projects: variance estimation and NAFC psychophysics
CSHL computational neuroscience: vision is over, and we presented projects using some of the new methods and ideas we explored in class. Earlier in the class, Geoff Boynton did a presentation on psychophysics, and illustrated how to estimate a threshold through Maximum Likelihood in a NAFC task, where N >= 2. I was curious to […]

Learning about GLMs and GAMs in neuroscience
During my lecture on Wednesday, a few students asked me where they could learn more about generalized linear and additive models (GLMs and GAMs) and their applications to systems identification in neuroscience. Unfortunately, there are few textbooks in computational neuroscience, and most cover systems identification to some degree, most notably Marmarelis’ latest. To the best […]

Bounds on accountable deviance in Generalized Linear Models
The quality of fit in Generalized Linear Models (GLMs) is usually quantified by the deviance, or twice the negative loglikelihood. When there’s a high level of noise in the data, it’s difficult to interpret the deviance directly; the lower bound for the deviance doesn’t take into account noise, and is much too low. I had […]

What’s the maximal frame rate humans can perceive?
Gamers care a lot about framerate. Should they? [Photo credit: Betto Rodrigues / Shutterstock.com]