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| What the...? Oh this has nothing to do with what I asserted, I'll just leave this discussion off here. |
Re: This Just In... | |
| Actually this research, performed by "James DiCarlo of the McGovern Institute for Brain Research at MIT" demonstrates quite clearly that learning (in this case visual recognition of objects) is a function of connections and networks -the network of inferior temporal neurons in the brain . In response to the one instance of "new training" data the network of neurons changed its configuration slightly over time to respond to a teacup, when presented in this particular pattern along with sailboats, in a way that more closely matched the way it would normally respond to sailboats. In the words of the researchers... "The sailboat neuron, for example, still preferred sailboats at all locations -- except at the swap location, where it learned to prefer teacups. The longer the manipulation, the greater the confusion, exactly as predicted by the temporal contiguity hypothesis." This is essentially how one would expect an artificial neural network to respond if presented new input surrounded by familiar inputs. I think the next statement by the researchers makes it pretty clear... "We were surprised by the strength of this neuronal learning, especially after only one or two hours of exposure," DiCarlo said. "Even in adulthood, it seems that the object-recognition system is constantly being retrained by natural experience." I don't think this debunks learning through connections and networks, quite the opposite. The brain my take lots of pictures, but it doesn't store them in files. A series of pictures that are presented close together in time map more generally to an arrangement or network of neurons that fires when presented with a picture that is close enough to one of the series. If they were stored as files, and accessed like a card catalogue, the subjects of the experiments would just retrieve the teacup file (perhaps unexpectedly at first and with some dissappointment) and continue to react to the teacup as they normally would have. It doesn't file or tag, it grows. |
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In my view, collectives and connectives are actually polar opposites: http://theconnective.org/what-is-the-connective/the-connective-blog/ Or just the picture: http://theconnective.files.wordpress.com/2008/03/overall_table_large1.jpg As I see it, the difference between groups and networks, or collectives and connectives, is that you join collectives out of obligation (i.e. peer pressure, geography, etc.), and you join connectives out of individual, independent choice. Also, connectives are not necessarily online and collectives are not necessarily real world. Both exist in both forms. [CC'ed from my comments at your blog] Connectives empower the individual, while at the same time adding value to the network as a whole (see Network Effects from our readings). The first time I used the term Connective was in a presentation entitled: "Internet Applications: Empowering the Individual" almost ten years ago (download at http://theconnective.org/what-is-the-connective/origin-of-the-connective/). My thesis was essentially that Internet technologies allow for the deconstruction of collectives, which emphasize command-and-control, and the construction of connectives, which emphasize democracy, freedom and choice. It was obvious then, and it is obvious now, and I'm consistently surprised someone with such extensive online experience can't see that. As I said on your blog: The Web is not Agreement. The Web is Argument. Sometimes it seems to me you have your ideologies crossed... |
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This just in! All about a parallel intuition that works alongside the usual neurology of math |
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Nice link. Reminds me of Gladwell's thin-slicing in Blink. Interesting to think it could apply to math as well. |