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Aussie Scientists Discover Brain-Healing Mechanism

MQBS writes "Researchers at the University of Queensland have discovered a way to make the brain heal itself. The article is a bit light on detail but it looks fairly important (at least to the unknowledgable about advanced neuroscience (like me)). I like the part about incrased memory... anyone care to be a complete GNU/Linux source code concordance ^_^?"

7 of 21 comments (clear)

  1. Incresed memory by FattMattP · · Score: 3, Funny
    I like the part about incrased memory...
    ...to help remember those hard to spell words. :-)
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  2. big news by d_i_r_t_y · · Score: 5, Informative

    this is big news folks... isolating a particular type of stem cell is approaching the level of finding a holy grail. while differentiation, the process by which stem cells (which can become theoretically any type of cell) actually become a differentiated cell-type (eg a muscle cell, or an adipocyte, a fat cell) is poorly understood, isolating (and then being able to maintain and grow) a neural stem cell line is a big step (well, it was when i was doing my undergrad circa 5 years ago..).

    go the green and gold.

  3. it's also about time... by d_i_r_t_y · · Score: 2, Funny

    ...that human beings broke the 640Kb memory barrier...

    hopefully, you'll someday be able to pick up 2x256Mb BRIMMs (BRain-Inserted Memory Modules) to increase your small and outdated BRAM (BRAin Memory).

    1. Re:it's also about time... by Kowh · · Score: 2, Redundant

      The problem with the Human Brain Storage System [TM] isn't really total capacity, but instead the memory addressing system. It doesn't even use a simple system like a linearly numbered addresses, instead it seems to use an sense/input based address system, where an image and a smell (or other inputs) will give you back a memory of your first tricycle. Too bad what you really wanted was the answer to the exam question.

      I also think H.B.S.S. manufacturers have let quality control slip a little bit, as the address systems don't appear to be consistent across similar models. This is especially apparently when "Male" and "Female" type models try to interface and compare stored memory concerning things like whose turn it is to walk the dog.

  4. This is nice, but.. by ballzhey · · Score: 5, Insightful

    We really don't need increased memory, we need increased working memory to hold more that 5-10 activation patterns or concepts in our head at a time. Why?
    There is no know limit to the amount of information that the brain can encode in long term memory since the brain is a distributed system (one neuron doesn't correspond to one item, it's only a component in a vector) and since the brain has 10^12 neurons with and avg of 10,000 connection each.
    Adding cells is the trivial solution.
    We could take invitro ones and put them in your head 75+ years ago if we wanted.
    Hooking them up to do something useful would be the problem since everyone's head is already wired differently and we really would not know how to signal the new neurons to form new connections without messing the old connections up.

    By the way, we need to give up the new addage that learning/ encoding new memories should be fast like in the Matrix. Learning is slow on purpose. If you are interested read Kandel and Schwart (2000). It's only 1414 pages.

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  5. CAM by Merlin42 · · Score: 3, Funny

    I think the term you are looking for is CAM: Content Adressable Memory.

    It is used commonly to implement things like caches and switches/routers. CAM tends to have scalability issues, as you pointed out. This scalability is usually salved via a hierarchy (cf L1, L2, L3 ... caches). The HBSS currently solves this via an external hierarchy: HBSS -> PDA -> Computer -> Internet -> HyperInteligentSecretAlienOverseers (Ooops that was supposed to be secret .. oh well ;).

    Now the idea of adding another level of heirarchy(in the form of some extra GreyMatter) closer to the existing HBSS would definately improve throughput and decrease latencies (cf cpus w/ on die cache tend to perform better).

  6. Slashdot: News for Nerds,... by Fig,+formerly+A.C. · · Score: 2

    ...Stuff that Grey Matters?

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