xcorr: AI & neuro

xcorr: AI & neuro

by Patrick Mineault

  • Good Research Code Handbook
  • Substack
  • Aboutxcorr is the blog of Patrick J. Mineault.
  • The New Yorker on neuroscience in the media

    Read in a James Wood article about secularism: These days, one is continually running up against a crass evolutionary neuroscientific pragmatism that is loved by popular evolutionary psychologists and newspaper columnists (of the kind who argue that we are happiest living in suburbs and voting Republican because neuroscience has “proved” that a certain bit of

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    August 9, 2011
  • Matching Pursuit for one-dimensional signals: Matlab code

    Matching Pursuit (MP) is a greedy algorithm to obtain a sparse representation for a signal in terms of elements of a dictionary. I’ve seen it used from time to time in neuroscience. For example, Smith and Lewicki (2006) use it as part of their demonstration that a sparse code for natural sounds matches the properties

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    August 5, 2011
  • Estimating a PSTH with Bayesian splines (BARS)

    The PSTH (post-stimulus time histogram) summarizes the timing of neuronal spikes following a stimulus. When few trials are available, or the neuron being recorded seldom fires, the PSTH can be quite noisy. Thus, the PSTH is frequently smoothed with a Gaussian kernel — for example, to reliably estimate the latency of the response. It is

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    July 30, 2011
  • Psychtoolbox – Now available for 64-bit Linux

    PsychToolboxhas resisted the upgrade to a 64-bit codebase for some time. The recent 3.0.9 update introduces 64-bit support on Linux only, and Mario Kleiner promises that in this version, […] the extra bits provide you with 50% higher effect sizes, higher d’ and greater levels of significance with less subjects, whatever you’re measuring. Well maybe

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    July 21, 2011
  • Wideband monitor for Plexon hardware

    Plexon has a Matlab API that can be used to stream wideband, LFP and spike data for real-time processing. It’s available in the Downloads section of the Plexon website under the name “Matlab client development kit”. They include several sample applications with the API, including a real-time LFP monitor. However, it’s missing a few features

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    July 20, 2011
  • Gibbs sampler in Matlab using mexme

    Darren Wilkinson has a nice post up comparing different programming languages (C, Java, scala, Python, and R) for writing Gibbs samplers. Unsurprisingly, C is fastest, although it is certainly not the easiest language to program in. In particular, I/O is a bitch. Others have suggested an interesting solution: write the core of the Gibbs sampler

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    July 16, 2011
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