Thanks a lot for sharing Hideaki! on a quick glance, those results are impressive! How did you do the models (matlab or something?), will you be planning to implement the feature to NuPIC code? Either way, please fill in an issue request at JIRA with the slides included.
Thanks a lot for your work, Mark On Mon, Sep 9, 2013 at 12:24 AM, Hideaki Suzuki <[email protected]> wrote: > Hi, > > I wrote a ppt to summarize one topic I did in my study of SP. > I have a few other topics with SP, but I'm shifting to TP. > > The idea speeds up the local inhibition x20 or better without parallelism > (6ms -> 0.3ms in my PC). As learning in SP proceeds, it will even get > close to the speed of global inhibition. > > > I'm sending this just because I don't want to be a free rider. Whatever I > feel it might be useful for someone, I like to share it. So, please don't > get offended because this is not so much biological (but software > engineering stuff). > > I hope this kind of mail is okay in this mailing list... > > Best Regards, > Hideaki Suzuki. > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > > -- Marek Otahal :o)
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