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What is consciousness? - Michael S. A. Graziano

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    Here are two images of a house.
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    There’s one obvious difference,
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    but to this patient, P.S.,
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    they looked completely identical.
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    P.S. had suffered a stroke that
    damaged the right side of her brain,
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    leaving her unaware of everything
    on her left side.
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    But though she could discern no difference
    between the houses,
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    when researchers asked her
    which she would prefer to live in,
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    she chose the house that wasn’t burning—
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    not once, but again and again.
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    P.S.’s brain was still processing
    information
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    from her whole field of vision.
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    She could see both images
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    and tell the difference between them,
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    she just didn’t know it.
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    If someone threw a ball at her left side,
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    she might duck.
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    But she wouldn’t have any
    awareness of the ball,
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    or any idea why she ducked.
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    P.S.’s condition,
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    known as hemispatial neglect,
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    reveals an important distinction between
    the brain’s processing of information
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    and our experience of that processing.
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    That experience is what
    we call consciousness.
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    We are conscious of both the external
    world and our internal selves—
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    we are aware of an image
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    in much the same way we are aware of
    ourselves looking at an image,
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    or our inner thoughts and emotions.
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    But where does consciousness come from?
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    Scientists, theologians, and philosophers
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    have been trying to get to the bottom of
    this question for centuries—
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    without reaching any consensus.
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    One recent theory is that
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    consciousness is the brain’s imperfect
    picture of its own activity.
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    To understand this theory,
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    it helps to have a clear idea
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    of one important way the brain processes
    information from our senses.
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    Based on sensory input,
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    it builds models,
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    which are continuously updating,
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    simplified descriptions of objects
    and events in the world.
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    Everything we know is based
    on these models.
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    They never capture every detail of
    the things they describe,
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    just enough for the brain to determine
    appropriate responses.
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    For instance, one model built deep
    into the visual system
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    codes white light as brightness
    without color.
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    In reality, white light includes
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    wavelengths that correspond to all the
    different colors we can see.
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    Our perception of white light is wrong
    and oversimplified,
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    but good enough for us to function.
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    Likewise, the brain’s model of the
    physical body
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    keeps track of the configuration
    of our limbs,
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    but not of individual cells
    or even muscles,
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    because that level of information
    isn’t needed to plan movement.
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    If it didn’t have the model keeping track
    of the body’s size, shape,
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    and how it is moving at any moment,
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    we would quickly injure ourselves.
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    The brain also needs models of itself.
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    For example,
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    the brain has the ability to pay attention
    to specific objects and events.
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    It also controls that focus,
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    shifting it from one thing to another,
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    internal and external,
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    according to our needs.
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    Without the ability to direct our focus,
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    we wouldn’t be able to assess threats,
    finish a meal, or function at all.
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    To control focus effectively,
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    the brain has to construct a model
    of its own attention.
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    With 86 billion neurons constantly
    interacting with each other,
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    there’s no way the brain’s model of its
    own information processing
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    can be perfectly self-descriptive.
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    But like the model of the body,
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    or our conception of white light,
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    it doesn’t have to be.
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    Our certainty that we have a
    metaphysical, subjective experience
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    may come from one of the brain’s models,
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    a cut-corner description of what it means
    to process information
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    in a focused and deep manner.
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    Scientists have already begun trying
    to figure out
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    how the brain creates that self model.
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    MRI studies are a promising avenue
    for pinpointing the networks involved.
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    These studies compare patterns
    of neural activation
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    when someone is and isn’t conscious
    of a sensory stimulus, like an image.
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    The results show that the areas needed
    for visual processing are activated
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    whether or not the participant is aware
    of the image,
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    but a whole additional network lights up
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    only when they are conscious
    of seeing the image.
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    Patients with hemispatial neglect,
    like P.S.,
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    typically have damage to one particular
    part of this network.
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    More extensive damage to the network
    can sometimes lead to a vegetative state,
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    with no sign of consciousness.
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    Evidence like this brings us closer
    to understanding
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    how consciousness is built into the brain,
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    but there’s still much more to learn.
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    For instance,
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    the way neurons in the networks
    related to consciousness
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    compute specific pieces of information
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    is outside the scope of our
    current technology.
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    As we approach questions of consciousness
    with science,
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    we’ll open new lines of inquiry
    into human identity.
Title:
What is consciousness? - Michael S. A. Graziano
Speaker:
Michael Graziano
Description:

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Video Language:
English
Team:
closed TED
Project:
TED-Ed
Duration:
05:00
lauren mcalpine edited English subtitles for What is consciousness?
lauren mcalpine edited English subtitles for What is consciousness?
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Tara Ahmadinejad edited English subtitles for What is consciousness?

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