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posted by takyon on Thursday June 11 2015, @05:36PM   Printer-friendly
from the banana-circuit dept.

Thanks to Carnegie Mellon University advances in brain imaging technology, we now know how specific concrete objects are coded in the brain, to the point where we can identify which object, such as a house or a banana, someone is thinking about from its brain activation signature.

Now, CMU scientists are applying this knowledge about the neural representations of familiar concepts by teaching people new concepts and watching the new neural representations develop. Published in Human Brain Mapping, the scientists have -- for the first time -- documented the formation of a newly learned concept inside the brain and show that it occurs in the same brain areas for everyone.

This novel research merges brain science and instructional innovation, two of Carnegie Mellon's university-wide initiatives -- BrainHub, which focuses on how the structure and activity of the brain give rise to complex behaviors, and the Simon Initiative, which aims to measurably improve student learning outcomes by harnessing decades of learning science research.

Another scary and exciting field in the offing. We'll both be able to scan new languages and skills into our heads and make sure our brainwashing techniques have taken effect.


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  • (Score: 2) by ikanreed on Thursday June 11 2015, @06:00PM

    by ikanreed (3164) Subscriber Badge on Thursday June 11 2015, @06:00PM (#195071) Journal

    I'm pretty sure this is the era of the Internet. Mindlessly regurgitating memes is much more our thing.

    • (Score: 2) by c0lo on Thursday June 11 2015, @07:46PM

      by c0lo (156) Subscriber Badge on Thursday June 11 2015, @07:46PM (#195120) Journal

      Not concepts, but concrete* objects.
      * you know? that composite building material made of water, aggregate, and cement. They want to put objects made of it in your brain.

      (grin)

      --
      https://www.youtube.com/watch?v=aoFiw2jMy-0 https://soylentnews.org/~MichaelDavidCrawford
  • (Score: 1) by Chillgamesh on Thursday June 11 2015, @06:03PM

    by Chillgamesh (4619) on Thursday June 11 2015, @06:03PM (#195075)

    Scientist: "We will now begin full brain dump reading..."
    Me [thinking]: "a'; Drop table users;"

  • (Score: 2) by wonkey_monkey on Thursday June 11 2015, @06:26PM

    by wonkey_monkey (279) on Thursday June 11 2015, @06:26PM (#195083) Homepage

    No, not the mind probe!

    --
    systemd is Roko's Basilisk
  • (Score: 3, Insightful) by aristarchus on Thursday June 11 2015, @06:26PM

    by aristarchus (2645) on Thursday June 11 2015, @06:26PM (#195084) Journal

    From the Fine Article:

    while the scientists used functional magnetic resonance imaging (fMRI) to monitor the emergence of the concepts in the participants' brains. As the new properties were taught, the activation levels in the eating regions and the dwelling regions changed.

    So we see a little picture of the new idea being stored in a brain? No, we detect increased blood-flow in an area of the brain, which (presumably) indicates "activation". In otherwords, we still have absolutely no idea how the brain works, but we can localize particular functions, like Broca's area. Only thing worse the quantum mechanics: Neuromania!

  • (Score: 3, Informative) by SubiculumHammer on Thursday June 11 2015, @07:47PM

    by SubiculumHammer (5191) on Thursday June 11 2015, @07:47PM (#195121)

    These researchers are using a method called multivoxel pattern analysis (MVPA). Traditional imaging analyses were univariate, essentially contrasting average voxel intensity in brain regions between different experimental conditions. MVPA is a multivariate approach where all the voxel data is used to train classifiers (e.g. support vector machines) to identify patterns of brain "activations" that reliably predict a condition or type of stimulus. MVPA: https://en.wikipedia.org/wiki/Functional_magnetic_resonance_imaging#Statistical_analysis [wikipedia.org]

    MVPA's ability to read minds is overblown, but it does tend to be more powerful (statistically speaking) than GLM univariate methods since you use all the data.

    I'm not sure if Carnegie Melon developed this technique or is just using it like the rest of us (I'm looking at memory retrieval of the past).