xcorr: AI & neuro

xcorr: AI & neuro

by Patrick Mineault

  • Good Research Code Handbook
  • Substack
  • Aboutxcorr is the blog of Patrick J. Mineault.
  • Tips on using crcns datasets

    I’ve mentioned before that the CRCNS web site has a number of neural datasets available for download. To save you some time, here’s some tips to get you up and running for specific datasets. V2-1 data Jack Gallant’s V2 dataset is really interesting; I think it’s fair to say that we know very little about

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    March 29, 2014
  • Scalable models workshop recap

    Originally posted on Scalable models for high-dimensional neural data: [ This blog post is collaboratively written by Evan and Memming ] The Scalable Models workshop was a remarkable success! It attracted a huge crowd from the wee morning hours till the 7:30 pm close of the day. We attracted so much attention that we had…

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    March 26, 2014
  • Running NX with Ubuntu 12.04+

    Newer versions of Ubuntu use the Unity interface – a shell for GNOME. Unity doesn’t play nicely with NX, which is a remote desktop solution for Linux. By default, it doesn’t work at all – and when you do get NX to work with Unity, you get some serious glitches when switching windows. I couldn’t

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    March 8, 2014
  • How real science labs work

    I was reading The Antidote – an excellent book on negative thinking, stoicism and the bankruptcy of self-help; via this post on the New Yorker – and I stumbled onto a paper by the psychologist Kevin Dunbar on how science is made. It’s an illuminating read. Dunbar followed 4 molecular biology lab for a year,

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    March 1, 2014
  • New feature: recently read papers

    A little known feature of Zotero is that the online version can generate an RSS feed from a collection. The feed is served via https, which is fine for e.g. feedly. However, WordPress.com doesn’t like https RSS feeds, so I forwarded my feed using feedcat – a pretty terrible service, but it was the first

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    February 28, 2014
  • Compressing wideband signals with FLAC

    We’ve been recording neurons on Utah arrays for ~3 years now. That creates a lot of data, and we keep buying more drives (above – there’s about 30TB of storage on the hub computer). Drives themselves are cheap; it’s backing up the data which becomes expensive in the long run, both in terms of bandwidth

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    February 24, 2014
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