• can@sh.itjust.works
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    27 days ago

    Our bodies n brains are so cool. Think about what goes into locating a sound in space.

    Edit: there’s more to it but at the most basic level your brain calculates the fraction of a second difference between when one ear picks up a sound and when the other does creating a reference point based on that.

    • rocketpoweredredneck@sh.itjust.works
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      26 days ago

      My hearing is pretty severely damaged in my left ear, and for several months I thought everything was to my right. but my ability to locate sounds has come back. My hearings not any better, my brain just figured out that my left ears fucked and compensated.

    • dukatos@lemm.ee
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      27 days ago

      You can also detect is the source up or down thanks to ear shape which delays sound for couple of ms.

  • milicent_bystandr@lemm.ee
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    26 days ago

    Not advanced maths per se; neural networks are amazing! Fuzzy matching based on experience - taken to an incredible level. And, tuneable by internal simulation (imagination).

    • Umbrias@beehaw.org
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      2 days ago

      there is certainly math going on in the brain at various levels, both equivalent models and identical sorts of calculations, it’s not just fuzzy matching.

        • Umbrias@beehaw.org
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          2 days ago

          almost certainly doing those things and more (especially lin alg and diffeq solutions, and who knows what equivalent mathematical representations). Why wouldn’t it? even stereotyped, there are subtle feedback variations you need to account for.

    • HereIAm@lemmy.world
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      26 days ago

      Don’t be fooled to think computer neural networks is how the brain is structured. Through out history we’ve always compared the brain to the most advanced technology at the time. From clocks, to computers with short and long term memory, and now to neural networks.

      • milicent_bystandr@lemm.ee
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        26 days ago

        That is a good point, though the architecture of computer neutral networks is inspired by how we think the brain works, and if I understand correctly there is some definite similarity in the architecture.

        Lots of difference though, still!

      • Zement@feddit.nl
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        26 days ago

        I would guess that every statement made is kind of true. It is a clock, a computer and a LLM,…

        I would even go as far as LLM is the closest to a functioning brain we can produce from a functional perspective. And even the artificial brains are to complex to understand in detail.

  • abbadon420@lemm.ee
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    27 days ago

    If you’re about to walk into a bar with you head, or like the top of a doorpost or smt. You’ll instinctively pull back and avoid the obstacle, inches before it hurts, because your brain notice the hairs on your head moved. That’s why men who have recently gone bald, often have bumps and bruises on their head. My bald colleague told me that for him, that was the hardest thing about going bald.

  • iAmTheTot@sh.itjust.works
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    27 days ago

    Throwing and catching always amaze me. And it’s not something that everyone is always great at, for sure, but anyone can try to toss a wad of paper into the waste basket. Whether or not you make it, the calculations under the hood, happening so quickly, always astound me to think about.

    • merc@sh.itjust.works
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      26 days ago

      What’s amazing is our ability to calculate the path of something in the air.

      There’s a test they did with Cristiano Ronaldo where someone kicked a ball to him so he could head it. They shut off the lights before the ball was in the air and somehow from the body shape of the person kicking it, he was able to know how to make contact with it without being able to see it.

      https://youtu.be/0k2ey_okQ4E?t=1255

        • merc@sh.itjust.works
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          25 days ago

          Ronaldo’s ego is incredible, and he’s almost always looking out for himself in everything he does. But, you can’t deny that he’s one of the best ever players. And his charisma means he’s a great choice for something like this where he has to perform and interact with all the “scientists”. Someone like Messi could do the same kinds of moves, but he wouldn’t be able to chat with the presenters and “scientists” between events in a natural way. (P.S. I love that they got someone named Ronald to be the ordinary guy who couldn’t do anything useful, that was just funny.)

          I also think Ronaldo genuinely cares about all the biomechanics and all that, as long as it’s something that applies to him, and that he could use to make himself better. A lot of other players just play on instinct and don’t want to have to think about it.

    • Valmond@lemmy.world
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      27 days ago

      Read somewhere that catching is actually dead simple, just “move towards the image of the incoming target” (I’m not talking about the arm kinematics).

      There were a robot paper bin that zoomed under stuff you threw up in the air using no complicated algorithms for example.

      Funnily many algos are calked on physical and chemical effects in the real workld, like splines for example were made with a thin metal bar and lead weight bending it to get the lines used in boat hull construction.

  • iAvicenna@lemmy.world
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    26 days ago

    I always imagine it more like neural networks. simply based on a lot of training and experience. As an example think of times when you step onto a non moving escalator. Your mind definitely knows its not moving but you still can’t defeat the trained expectation of jerk.

  • thedeadwalking4242@lemmy.world
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    26 days ago

    A lot of it is less math and more just approximations using old data, just fitting a complex statistical model neural nets suck ass at math

    • scarilog@lemmy.world
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      26 days ago

      Yeah, your brain is not doing projectile motion equations in real time, it’s the same process as teaching a neutral network to approximate a parabola.

      Don’t get me wrong, it’s incredibly impressive that this prediction in our brain requires the visual processing of data from eyes to identify an object flying through the air, moving our hand in a perfect intercept course to catch it. All without having to have a ton of data points to ‘train’ on.

    • mexicancartel@lemmy.dbzer0.com
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      26 days ago

      Yeah there is a lot of neural networks, but i don’t think that is the only thing in brain. There could be calculators and integrator circuits

  • Emerald@lemmy.world
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    26 days ago

    I always thought about how interesting it is that handing things to people is so reliable. We just kind of know exactly when the other person has grabbed something enough for us to let go.

  • Tarquinn2049@lemmy.world
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    27 days ago

    A lot of it is the difference between learning practically and learning theoretically. You don’t have to understand the underlying mechanics in practice to know how to keep getting the same result. Your brain doesn’t have to be doing any math, it just has to have shaken a bottle enough times to have a good comparative basis formed.

    Learning to calculate the current remaining volume in a container when observing someone else shake it… that would use all that theoretical knowledge and math.

    It’s like knowing how hard you have to throw an egg at a wall for it to break instead of bounce off. You do it 100 times, you just get a good feel for it. Doing all the math, and then trying to learn it practically is barely gonna affect how quickly you learn it in practice. But if you wanted to make a robot that throws it exactly hard enough without wasting any energy, practical knowledge will have almost no value, and theory and math will be incredibly valuable.

    This is coming from someone who does indeed have the whole “passive trajectory analysis of every moving object around me” thing. I can’t do crowds or drive at busy times. But, for moving through a minor crowd while reading a book, or pulling into a tight parking space while other cars are moving around near me, it’s very helpful. I have good spatial awareness in general, like parking in my garage with only an inch of clearance on the far side of my car has never been an issue in 14 years so far. Or when doing it with someone else’s borrowed car every now and then too. When I shrug off the difficulty of doing something like that, people seem to be amazed. Otherwise, I would have assumed it was normal, feels normal to me.

  • Mr_Blott@feddit.uk
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    27 days ago

    Another one is levelling.

    A lot of people can see a picture frame is about 0.5° out of level and their fucking eye twitches until they fix it

    Me included

    That’s nuts when you think about it

    • Senseless@feddit.org
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      26 days ago

      See, I live in an old apartment. The corners aren’t 90°, the wall a picture is hanging on is convex. When I’m lying in bed and look at the picture it looks like it’s crooked but I used a level several times on it and it’s as straight as can be. It’s driving me insane.

    • Eranziel@lemmy.world
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      26 days ago

      I worked on an industrial robot once, and we parked it such that the middle section of the arm was up above the robot and supposed to be level. I could tell from 50 feet away and a glance that it wasn’t, so we checked. It was off by literally 1 degree.

      Degrees are bigger than we think, but also our eyes are incredible instruments.

    • Ms. ArmoredThirteen@lemmy.ml
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      27 days ago

      I purposefully slightly tilt most my wall hangings. I like watching guests squirm when they mention it and I do nothing

    • GoofSchmoofer@lemmy.world
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      26 days ago

      I would say there is still some complicated stuff going on in the brain with knowing where your arm, hand, elbow and shoulder are in space as well how much force you need to apply (the precise amount of motor neurons to activate at the exact time) so you can toss the ball in the arc you need to catch it on the other side.

  • Geometrinen_Gepardi@sopuli.xyz
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    27 days ago

    When sharpening knives, with practice you can tell when you are done by sliding your fingertips along (not across) the sharpened bevel. It’s possible to feel imperfections measured in micrometers this way.