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    Home > Active Ingredient News > Study of Nervous System > The miracle of "brain in a jar": brain cells in a petri dish learned to play games by themselves!

    The miracle of "brain in a jar": brain cells in a petri dish learned to play games by themselves!

    • Last Update: 2022-10-20
    • Source: Internet
    • Author: User
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    In 1981, the American philosopher Hilary Putnam put forward the idea of "brain in a jar" in the book "Reason, Truth and History": if someone cuts off a person's brain, puts it in a tank filled with nutrient solution, and connects the nerve endings of the brain to the computer, and the computer continues to send normal information feedback to the brain - in this way, all the movements and environments felt by the brain are the same , so can it still be aware of the situation it is in? And will you be a "brain in a jar"?


    Fortunately, this thoughtful hypothesis is only a thought experiment
    at this stage.
    However, the latest breakthrough from the Australian research team is enough to surprise us, even a little scary
    .
    When 800,000 brain cells from human stem cells or mice gathered in a petri dish, they learned to play simple video games
    .
    The effort, dubbed
    DishBrain (meaning "brain in a plate"), attracted attention
    when it went live late last year on a preprint site.
    Now, the progress is officially published in the prestigious academic journal Neuron
    .



    Dr Brett Kagan, Chief Scientific Officer of biotech startup Cortical Labs, who led the study, commented: "Our study shows that we can communicate with active biological neurons, forcing them to change their behavior, resulting in behavior similar to intelligence
    .
    The researchers hope that the DishBrain model can make it easier to detect how the brain works, improve the understanding of symptoms such as epilepsy and dementia, and help the development of
    related drugs and therapies.


    In the study, a team of researchers from Cortical Labs and universities obtained brain cells from two sources: human induced pluripotent stem cells or mouse embryos
    .
    The team placed brain cells on an array of microelectrodes in a dish that could stimulate these cells with electrical signals and read neural activity
    .


    In the electrical stimulation signals applied to brain cells, there is a hidden main task: to teach these brain cells to play a video game
    called Pong.


    This game, born nearly 50 years ago, has very simple rules and can be understood as playing table tennis against the wall: by moving a line from side to side, that is, a "racket", hitting the flying ball and bouncing it back
    .


    ▲ The neuron in the petri dish controls the racket and plays the Pong game (video source: Reference [1]).


    Of course, the first thing the researchers have to do is to translate the rules into the "language" that brain cells can receive, and train this DishBrain system: by controlling the discharge stimulation of the left or right electrode, it can tell the direction of movement of the brain cell glomeruli; The distance between the ball and the racket is represented
    by the signal frequency.
    The signals emitted by DishBrain are monitored by the electrodes and translated into control
    of the racket with the same rules.
    In this way, these brain cells can learn rules in this closed-loop system and generate perception through
    training.


    "We've never seen these cells work
    in a virtual environment.
    We have successfully built a closed-loop system that reads cell activity
    .
    We activate them with meaningful information to change these cells in an interactive way so that they can change
    each other.
    Dr.
    Kagan said
    .


    Fluorescence microscopic images of neurons (video source: Cortical Labs).

    At this point, you may also find a problem: whether training humans, animals, or artificial intelligence systems to complete a task, rewards and punishments are needed to move the trainer in
    the right direction.
    For example, our brains release dopamine as a reward, but that's
    something the DishBrain system can't do.
    What are the rewards and punishments for these brain cells?


    The answer is information entropy
    .
    According to the free energy principle, cells want to minimize uncertainty in the environment, so when brain cells successfully "connect" to the globules, the electrodes release predictable signals that brain cells like; Conversely, when not, brain cells then receive random signals
    .


    ▲Research schematic diagram (Image source: Reference [1]).


    As a result, these brain cells exhibited an unexpected ability to learn, or "intelligence.
    "
    In just 5 minutes, they understood the rules – a time far below the learning time
    required by AI.
    After a few more hours of training, DishBrain reached a normal gaming level – of course, the final game performance was still significantly inferior to humans and artificial intelligence
    .


    "When we apply structured information, we find that changes in their activity are highly consistent
    with real behavior in dynamic systems.
    For example, neurons' ability to change and adapt to their firing activity increases with experience, consistent with
    the rate of cellular learning we see.
    Dr.
    Kagan said
    .


    ▲ Pong game environment simulated by the experiment (video source: Reference [1]).


    Although the game's performance is not comparable to ours or artificial intelligence, DishBrain's perception and learning speed surprised the researchers
    .
    The experimental results show that
    even the neurons in the dish show inherent intelligence and can constantly adjust their behavior
    .


    In addition to being amazed, this breakthrough also provides an important model for future brain science research, opening up a whole new way
    to understand how the brain works.
    "Previous brain model development has always been based on computer scientists' speculations about how the brain works.
    .
    .
    But the problem is that the current understanding of how the brain works is limited
    .
    Dr.
    Kagan said
    .


    Building brain models based on living cells allows scientists to test
    them based on real brain function, rather than computer models that may be flawed.
    The research team hopes that DishBrain will be able to replace animal testing in the future to test the effects
    of new drugs and therapies on the brain in a dynamic environment.


    References:[1] Brett J.
    Kagan et al.
    , In vitro neurons learn and exhibit sentience when embodied in a simulated game-world.
    Neuron (2022).
    DOI: https://doi.
    org/10.
    1016/j.
    neuron.
    2022.
    09.
    001
    [2] Human brain cells in a dish learn to play Pong.
    Retrieved October 12, 202
    2 from style="outline: 0px;max-width: 100%;font-size: 10px;color: rgb(178, 178, 178);box-sizing: border-box !important;overflow-wrap: break-word !important;" _mstmutation="1" _istranslated="1">[3] Watch brain cells in a dish learn to play Pong in real time.
    Retrieved October 12, 202
    2 from style="margin-bottom: 0px;line-height: 1.
    75em;">

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