xcorr: AI & neuro

xcorr: AI & neuro

by Patrick Mineault

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  • What’s the maximal frame rate humans can perceive?
    What’s the maximal frame rate humans can perceive?

    Gamers care a lot about framerate. Should they? [Photo credit: Betto Rodrigues / Shutterstock.com]

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    November 20, 2011
  • SFN 2011 Sunday highlight: Movshon on V2

    Sorry about the late update but I got wrapped up in poster work. I lost the program on which I had written notes for Sunday, so I’ll be writing this off the top of my head. There was a series of posters from the Movshon lab showing some efforts towards undertanding V2. One was a

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    November 15, 2011
  • SFN 2011 poster – RF plasticity in V4

    I’m showing an SFN poster today on RF plasticity in V4, here is the reprint, and the abstract. Gilbert had some interesting ideas in the early 90’s about reorganization of receptive fields following removal of input. The idea is that if you have a scotoma on the retina, or any other type of permanent deinnervation,

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    November 14, 2011
  • SFN 2011 Saturday highlights

    SFN is overwhelming, and this year is no different. There was a monstrous crowd at the poster session, so I didn’t get much out of it (the hangover didn’t help either). Chris Koch had not one but two posters on the origins of the local field potential (LFP). My guess is he will have that

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    November 12, 2011
  • Spike identification through Gibbs sampling #2

    Last time, I demonstrated how to use Gibbs sampling to obtain an estimate of the probability of spikes at different time points given a wideband signal. Unfortunately the method I proposed suffered from long correlation times. In this post I expand upon the previous method to obtain a practical method for identifying spikes. Making it

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    November 1, 2011
  • Localized priors for receptive field estimation

    New paper out in PLOS Comp Biology by Mijung Park and Jonathan Pillow on a spiffy new linear receptive field (RF) estimation method. The proposed method can be seen as an extension of state-of-the-art RF estimation methods that combine assumptions of smoothness and sparseness. The idea is to use what they call a localized prior.

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    October 29, 2011
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