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In the eyes of a cat
U of C grad student and former undergrad minion of mine Kyler Brown has a demonstration of the “Cat Cam” data over at Bytes and Spikes. The movie was created by attaching a camera to a freely roaming cat in a natural environment and playing it back to an eye-tracked cat. So you get both
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How many pixels make an object? Like, 30
There’s a neat paper on the psychophysics of scene and object recognition in super-low resolution scenarios in Visual Neuroscience by A. Torralba (2009). The author sought to answer a rather interesting question: what image resolution is needed to support scene and object recognition? He took images from databases and created several different versions of them,
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Video super-resolution coming to consumer software
Video super-resolution is a technique to increase the resolution of a movie by exploiting the redundancy between frames. It’s easiest to understand the technique by first thinking of the corresponding technology in images. It’s possible to increase the effective resolution of an image by taking multiple pictures, each offset by a fraction of a pixel,
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Spikes trigger LFP waves – not so fast
There’s been a lot of buzz at recent conferences around a controversial new paper in J. Neurosci. from Ray and Maunsell on LFP traveling waves. It’s a pretty direct, and rather convincing rebuttal of an influential Nature Neuroscience paper by Nauhaus et al. published a couple of years ago. Initial findings Nauhaus found what seemed
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Reading .plx files in Mac/Linux: a Python script
Update (12/10/2011): Huang Xin has written better Python script based on ctypes, part of RealTimeElectrophy. I posted a few days ago on solutions for reading .plx files on Mac/Linux, and was kind of bummed out that in spite of doing a thorough background search I couldn’t find a really satisfying solution to the problem. So
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Computational models of vision: reading list and code
Geoff Boynton has a nice webpage for a Special Topics in Vision class he gave a few years ago. The class website includes a linked list of influential papers on vision, with an emphasis on papers with a strong computational component. Also available is a zip file with a large number of matlab functions demonstrating
xcorr: AI & neuro 