Category: CSHL computational vision

Funes, or parallax
In a CSHL lecture on attention, Marisa Carrasco used the fictional Funes as an illustration of the idea that perception is about prioritizing and throwing data away. Funes the Memorious is a famous short story by Borges about a man with a photographic memory that couldn’t make sense of the world as he couldn’t throw […]

Adam Kohn on population coding
Adam delivered a pretty intense lecture at CSHL on population coding, correlations and phaselocking. Consider myself mindfucked. Mainen & Sejnowski (1995) showed that single neurons have very reliable responses to current injections. Nevertheless, cortical neurons seem to have Poisson or supraPoisson variability. It’s possible to find a bound on decodability using the Fisher information matrix (Sompolinsky […]

Geoff Boynton on fMRI
Geoff just delivered a lecture at CSHL computational vision on fMRI. He pointed out that it’s an incredibly convenient coincidence that hemoglobin and deoxyhemoglobin have sufficiently different magnetic moments that they can be picked up using MRI. I made a comment (which I thought was mindblowing but others thought was funny; it wasn’t a joke, […]

Fitting a spline nonlinearity in a Poisson model
I was talking to Jeremy Freeman at CSHL and he asked about an easy way to fit a spline nonlinearity in a Poisson regression model. Recall that with the canonical exponential nonlinearity, we have the following setup: And the negative loglikelihood is given by: Start by fitting w by maximum likelihood. Compute . Then you […]

CSHL computational vision: day 4
Today was a little less intense than yesterday, mercifully. Geoff Boynton Geoff did a tutorial on signal detection theory and estimating psychophysical measures in Matlab. He emphasized that given the signal detection model, it is easy to find good estimates using Bayesian inference. Whenever the observer’s response is binary, you should use the binomial likelihood […]

CSHL computational vision: day 3
Heavy day today. These notes might be slightly more rambling than usual, apologies. Eero Simoncelli Eero (pictured above) delivered a lecture focusing on encoding, and specifically on efficient coding . From Barlow (1961): Sensory relays recode sensory messages so that their redundancy is reduced but comparatively little information is lost. He pointed out that this […]