Indeed we have a long way to go, it did however lead my thoughts in the direction of some kind of noise filter algorithm that enables a more efficient memory usage in long term learning prediction systems. I know that most people today do training and then disable it to allow for anomaly checking and/or prediction.
Well, I will give it a go and see if anything interesting will arise out of my efforts. If that happens we can pick up the discussion again. -Hannu On 01 Nov 2013, at 19:04, Jeff Hawkins <[email protected]> wrote: > No this hasn't been discussed here. As you say, it is a meta conversation. > If there are others who want to discuss this kind of research you might want > to start a separate email thread as it is pretty far removed from most of > what NuPIC is about. There is a big gap between understanding how ensembles > of neurons process information and measured IQ in living humans. Obviously > psychology (and IQ) are based on neural structures but to me we have a long > way to go before we can unite these two fields. > > Occasionally you can find some connections. For example some scientists > argue that dyslexia is simply a problem with slow processing in neural > tissue. The left side of the cortex, where language is, is more heavily > myelinated than the right side of the cortex. Mylenation makes action > potentials travel faster. If you slow down speech, a dyslexic child starts > to understand more normally. The speculation is that poor myelination in > the left hemisphere could cause dyslexia. This is an idea that bridges low > level neuroscience with high level intelligent phenomena. These kind of > examples are rare though. > > Jeff > > -----Original Message----- > From: nupic [mailto:[email protected]] On Behalf Of Hannu > Kettinen > Sent: Friday, November 01, 2013 6:30 AM > To: NuPIC general mailing list. > Subject: [nupic-dev] A Strong Interactive Link between Sensory > Discriminations and Intelligence > > Folks, Has this been discussed here before? And if not, what are your > thoughts on this? > > source: http://www.bcs.rochester.edu/people/Duje/papers/13_Melnick_IQ_CB.pdf > > It all started with a question, why do some people have higher IQ than > others, I have my own theories but to me this paper is very exciting. > If we can identify the factors that separate us IQ wise, we should be able > to tweak those factors to boost IQ. (virtual or real for what it's worth). > > I know this is a meta discussion for this ml, but I am just wondering if > anyone else have been looking at the issues/possibilities from this kind of > perspective? > > Personally I am not worried about the technicals behind it, because the path > Jeff is on can be combined with certain other features and algorithms to > create a solid scalable prediction framework with capabilities far from > 'just' prediction and anomaly detection in temporal sensory input. > > > > > > > > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org _______________________________________________ nupic mailing list [email protected] http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
