Shadowing Practice: Intro to Neuroscience, Overview and goals - Learn English Speaking with Video
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Let's talk about brains.
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Hi, my name is Bing Breton and I'm a neuroscientist at the University of Washington in Seattle.
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In this video, I'm going to introduce to you the next series of videos
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that comprise a university-level course on introduction to neuroscience.
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This is a course that I've taught several times at University of Washington
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and so I'm going to talk to you about the topics we're going to cover as well as my expectations
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and hopes for you in terms of what you'll get out of taking this course.
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Now I love teaching this course.
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It's one of my favorite things to do and introducing neuroscience to people who are not yet neuroscientists.
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Maybe some of you will be inspired to become neuroscientists.
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And the reason I love talking about it so much is
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because neuroscience is such an interdisciplinary field
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that I get to talk not only about biology
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but about how neuroscience connects with almost everything else that you can think of.
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And this includes a lot of different sciences.
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We have connections to physics, to chemistry, to psychology and as well as connections to engineering applications, to health, as well as to your sense of self and philosophy
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and legal ramifications of what we know about fundamentals of neurobiology.
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Before we get into all of that, I wanted to talk first about my brain and your brain, because after all, this is where we all start, right?
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We're using our brains to understand each other right now.
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So the mammalian brain, the human brain, looks something like this.
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There's a picture of it on the bottom here, and you can look at it.
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And you can kind of compare it to some of the other mammalian brains
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that are in the animals that are in the world around us.
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And what I'm going to tell you is that mammalian brain is a lot in common with other type of mammalian brains.
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But there's also some key differences as well.
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In particular, the human brain weighs about one and a half kilograms.
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And it has 86 billion neurons-ish.
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Now, what does this actually mean?
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These are just numbers here.
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What does this actually mean?
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So what I want you to do is take your two fists.
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Make two fists and put them together.
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Go ahead and do it yourself.
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If you look then at your hands put together as two fists, this is going to be approximately the size of your brain Stuffed inside your skull now.
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I don't know about you the first time I did it
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very first time I did this I was surprised at how small it is.
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Maybe I have a big head I don't really know who knows what
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that means I also know that some of you are gonna have larger hands than others.
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Don't take it too seriously This is only approximately how big
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your brain is now We know the brain is really important for a lot of different reasons
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And one of the reasons is
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because even though for an adult human the brain weighs approximately
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2% of your body mass at rest It occupies approximately 20% of your metabolic costs.
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So about 20% of the calories You're burning at any particular moment
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when you're not doing anything This is not true
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If you're running a marathon is devoted to just keeping the brain alive
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and functioning and ready to do the next thing
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that is getting ready to do
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So that's one indication of how important it is now a few more things about the brain
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that I think are really interesting I like thinking about size scales and time scales.
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The brain has this wrinkly bits on the outside.
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We'll have a later video talking about exactly what those are and why they're there.
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The short version of the story is that that's what you're looking at.
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It's a very outer layer of the brain called the cortex.
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It's kind of like a helmet that's on the outside.
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And it's wrinkly because it's actually a two-dimensional sheet approximately.
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That's quite a bit larger than what you can stuff inside your skull.
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If you took it out, if you took the cortex out, shook it out and ironed it, you get a sheet that is,
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well, you know, it's actually approximately the size of a towel, small hand towel like this one.
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So if you kind of imagine wrinkling it up and stuffing it inside your head, I don't remember actually doing this, that's approximately how large your cortex is.
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I told you the cortex is also a two-dimensional sheet, so what does that mean?
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Well, it's actually remarkably thin.
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I have something like a credit card, okay, so if you take any credit card and look at it, you can see how thin it is.
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That's approximately two millimeters.
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So the entire cortex is about that thin
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and in fact the size of a regular credit card is about the size of your primary visual cortex.
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Imagine taking one of these credit cards, folding it in half and then stuffing it in the back of your brain.
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That is the size of your primary visual cortex.
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So those are kind of cool things that I like to telling people the first time I introduce them to brains.
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But anatomy is only a very small part of our understanding of neuroscience in neurobiology.
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So as a neuroscientist, I happen to be a type of neuroscientist called computational neuroscientist.
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And what that means is that I really like thinking about mathematical models
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and different ways that we can analyze data from both brain and behavior.
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And so rather than giving you a syllabus first, what I'm going to tell you first is my perspective of why I'm a neuroscientist, how it is
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that I feel like this is a really interesting thing that's
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going to occupy not only the rest of my career
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but hopefully the careers of lots of other people in the world as well.
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So from my perspective one of the coolest things about neuroscience is that the brain has multi-scale structures in space.
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Now I'm going to break that down and tell you what I mean by that phrase.
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What we're looking at here on the vertical axis is what's called a logarithmic accessing size
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and so every tick mark is 10 times larger as we go up.
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Okay so right here is a millimeter, we have We have thousands of a millimeter and then we have a meter up here.
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So the reason that the brain is cool, one of the reasons the brain is cool, is because it has really cool, interesting structures that are worth studying at every single scale of description.
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The smallest thing that we sometimes think about in neuroscience is the size of a synapse.
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So the cells of your brain are called neurons, and neurons talk to each other at these junctions called synapses.
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The human brain has 86 billion neurons.
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Every neuron in your brain makes a thousand to ten thousand synapses with other neurons And
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so there's a ton of these things inside your brain right
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now We're only looking at one of them now despite having lots
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and lots of them and you see these are really tiny structures
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They're in fact extraordinarily complicated
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and very very cool There's gonna be a video all about the synapse later on it is so cool
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That you think about the infrastructure that goes into running
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and keeping alive and functioning one of these synapses It has the complexity of a small city.
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We have things like roads, we have garbage collection, we have power plants, we have recycling plants even.
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This is very green here.
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And that is only one synapse among all of the synapses that go into running your brain and your nervous system.
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But of course that's not all because every neuron, you may have seen pictures of neurons like a couple of drawings of the ones over there.
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Neurons are also cool because they They actually have non-trivial geometry.
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They're not blobs like generic eukaryotic cells that you might have learned about when you first learned about cells in grade school.
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They're very much not spherical.
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And in fact, they're so not spherical that they have these beautiful dendritic
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and arsonic arborizations that very much look like the way
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that trees reach into the sky and their root systems reach into the ground.
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Those are just individual neurons.
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Neurons talk to each other and form networks of neurons that get larger and larger and larger.
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And a lot of things that we talk about in systems neuroscience are how all of those networks are coordinated.
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How do they work together and give rise to what we think of as thoughts and memory and our sense of identity.
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And of course your nervous system at some point has to run the rest of your body
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so you're not just the brain in the jar thinking by yourself.
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You also have to run a body and so your central nervous system, your brain and your spine, innervates the rest of your body which is on the order of a meter
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and so that includes summarizing sensations from all over your body as well as controlling the muscles and other
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Your internal organs and running all of those different structures by the nervous impulses of your nervous system
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So I'm going to tell you one of my favorite cocktail
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party neuroscience facts The next time you find yourself with a fancy cocktail party you can share this with your friends
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The brain is really cool and these neurons have really interesting shapes
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and they're really long and thin sometimes What takes the cake is
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that you have a neuron that is super thin
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and very very long And it's so long that it's practically as tall as you are.
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In particular It is a sensory neuron called the dorsal root ganglion cell
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And there's one that's in the very last segment of your
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spinal column kind of where your tailbone is in the very back of your spine
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One end of this neuron innervates the tip of your toe
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So it carries sensory information from your tippy toe big toe
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the other end of the cell goes all the way up
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to your brainstem to the very back of where your head meets your neck.
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In other words, if you think about this neuron, it goes all the way from your toe to your head and it's practically as tall as you are.
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I think that's super cool.
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What makes it cooler is that this cell is not something that's very much unique to humans.
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In fact, presumably all vertebrates have it.
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So if you're a giraffe, there is a same cell, the dorsal ganglion cell, that goes from its toe all the way up to the base of its neck.
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Try to imagine this for a whale.
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Try to imagine this for extinct dinosaurs.
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Now, the field of paleo neuroscience is fascinating.
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And you can kind of imagine how difficult it would be to study.
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But if the nervous system of these extinct dinosaurs are the same
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that it is for all vertebrates that exist in our lives right now,
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then presumably that this dinosaur had one of these neurons as well.
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And so that probably takes the record for the longest cell that has likely existed in the history of life.
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So I've now told you about how the brain has multi-straw structures in space and how that's super cool and interesting.
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You can even spend a lifetime working at any single one of these high scales, right?
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But there's cool stuff at every one of them.
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But there's more because not only does the brain have multi-scale structures in space, it also has multi-scale dynamics in time.
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Now as a computational neuroscientist, I love dynamical systems.
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I love writing models that change in time
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and this is one of the things
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that I was actually drew me to neuroscience
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and to the study of Neurobiology in the first place the fact
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that we can write down these really beautiful equations
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That not only describe dynamics at any single timescale
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But actually allow us the ability to tie them together to
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describe multi-scale dynamics in time once again Just like on the previous plot we have a
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Logarithmic plot this time it's in time so every tick mark.
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It's actually ten times longer on the very far end we have a millisecond, which is usually the time scale on which the smallest time scale in
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which we systems neuroscience talk about because it is about the length of an action potential.
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The action potential is going to be the topic of a
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whole series of videos for the first section of this video course and you'll learn all about it.
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The basic point is
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that the action potential is the fundamental unit of communication for the electrically active neuron and the action potential, this characteristic shape, occupies approximately one millisecond.
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Now of course as you go longer and longer
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and longer there's cool things happening at every scale of description in time We have things like neuromodulation
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and synaptic plasticity The fact that these synapses how neurons talk to each other are able to change
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rapidly as well as slowly throughout your day throughout your week, okay?
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And in order to produce speech in order to move my arms
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and produce sensation and movement requires coordination of dynamics of neurons on the order of tens of milliseconds to seconds.
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We then have things that occupy a little bit longer in time, like short-term memory and long-term memory.
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Your brain and your nervous system, just like many other parts of your body, are prone to having cyclic variations that are circadian rhythms, seasonal rhythms, hormonal rhythms.
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In thinking about neurogenesis, the fact that in the world of your lifetime, you actually do produce some numbers of neurons that get incorporated into your nervous systems.
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You're not stuck with just the ones that you were born with.
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And of course, we can talk about long-term learning and memory, both procedural memory as well as memory of things that you know, such as the fundamentals of neurobiology that you're going to be learning about.
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A human lives on the order of decades, right?
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And so I feel like I'm kind of the same person I was when I was 10 years old.
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There's some continuity there.
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But in reality, I don't share a lot of cells and proteins in common with that person.
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And so how it is that we have these long-term memories and learn things over time, that is something that we can think about in the context of neuroscience and neurobiology as well.
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So those are some of the reasons that I really like neuroscience.
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And if you wanted to come on this adventure with me, I'm going to tell you about the topics that we're going to talk about.
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All right, I'm going to start slow and talk about the fundamentals of neurophysiology of a single neuron, a single cell of the brain and nervous system.
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Brains occupy a really cool space because it fundamentally communicates with each other by using electricity.
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So we're going to be talking about in a series of first videos electrical properties of a neuron, how it is we generate an action potential, how the action potential propagates,
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and how the action potential translates to communication among different neurons through different types of synopsis.
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And so this part is going to be approximately ten videos.
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The second part we're going to go a little bit longer in time
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and also larger in size scales kind of moving up
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and to the right in those axes
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that we had before Thinking about the organization of the nervous
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system both the central as well as perforate nervous system We're
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going to talk about all of the different sensory systems of vision olfaction for example
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As well as some unusual ones like your sense of time
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and of course nothing really happens without movements We're going to
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talk about the neuroscience of movement as well as motor control How does your motor neurons activate
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and excite and animate your body?
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In the third part of our itinerary is going to be a bunch of additional topics.
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And to be frank, these are just topics that I really like and I can't help myself, so I'm going to tell you about them.
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They're topics that usually reach a little bit farther beyond the scope of a traditional introduction to neuroscience course.
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And there are things like neuroscience of behavior, not only human behavior, behavior but behavior of diverse animal, including vertebrate and invertebrate insect species.
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We're going to be talking about topics like mental health
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and addiction and how these impact our sense of self
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and how that ties together with society and community and the legal system.
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And then we're also going to be going towards connections between neuroscience
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and technology by looking at things like neuroscience and artificial intelligence,
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the history of how these fields have evolved together into doing things like the different artificial neural networks
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that are able to generate speech and generate images that all of you have seen all over the internet.
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also going to be talking about topics, for example, like brain-computer interfacing, how it is that we can build machines that interact with our brains both for rehabilitation,
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augmentation, as well as other applications.
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And each of these parts is going to be approximately 10-ish videos, and the whole thing is supposed to be a quarter-long course at the University of Washington,
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and so it's going to be approximately 30 hours worth of videos broken up into small sections.
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So my goals for you in this course are the following.
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First it is university level course on introduction neuroscience and
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so I hope that you will learn the fundamental biological principles of neuroscience.
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I hope to give you enough intellectual scaffolding so
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that you can hang knowledge that you learn later on onto the fundamentals of how neurons work,
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how neural systems work and so all of the additional topics will be added on top of that fundamental
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layer of principles of neuroscience.
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Next, I want you to appreciate neuroscience as a living, breathing field.
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Rather than telling you how things are, and this is just the way things work, you know, and memorizing a bunch of terms and different pathways.
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Frankly speaking, I can't memorize them either, so I don't really want you to.
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What I would rather you come away from the course with is an appreciation of when we discovered something in neuroscience, what was the state of the field at the time?
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What were the leading ideas and hypotheses of how that particular thing worked?
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What were the technologies?
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And so what was the process of discovery of finding
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that thing out as well as who were the very human scientists with our very human flaws who discovered those things?
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A Corollary of that is
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that one of my favorite things to do as a neuroscientist
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is thinking about future technologies This is actually what I do
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in my research life I think about not only what can we do right now
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but what is inevitably going to be possible in the next 5, 10, 30 years?
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And to appreciate that neuroscience is going to grow by leaps
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and bounds over that time framing ways that perhaps none of us can really appreciate and anticipate, but we can kind of think about it and think about,
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okay, so if we can record not only from one single neuron at a time, but hundreds of thousands of them, what will we do with all of that data, right?
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What can we do if we don't only are able to to monitor animal behavior in a single animal, in a single lab, in a small box,
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but we can actually see what it does out in the wild world.
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And so, appreciating neuroscience and the process of discovery, as well as the people who are players, is one of the things that is my goal for you.
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And hopefully that's something you'll see throughout the course in all of the topics we'll cover.
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The third thing that I have a goal for you is to be able to connect neuroscience with health and society.
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The brain is an organ, just like every other organ your body.
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And so just like every other organ in your body, if this were course on the liver or the kidney, we would most certainly talk about pathologies and diseases of the liver and the kidneys.
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So just like that, we're also going to be talking about neurological disease.
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But unlike those other diseases, the brain is in a way that is not true of your liver, tied to my sense of self and identity.
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And so when there are things that change with my brain, that very much changes my connection not only with myself
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but with the way that I interact with people around me with my community
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and my relationship with my community and with my with my local environment
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and so thinking about the implications of
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that is one of my goals in throughout the course
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and I hope to especially highlight this in the context of mental illness
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and drug addiction because throughout the the last couple of decades, our growing appreciation for the fundamental biological basis of mental illness
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as well as drug addiction has very much changed the discourse
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of how people relate to themselves as well as relate to their loved ones
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and other people around them in a social as well as legal sense.
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At the same time, I recognize that hopefully I will inspire some of you to become career research scientists in neuroscience,
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but I recognize that that's probably not the case for the majority of you who might find yourself watching these videos.
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And so if this is the last course on neuroscience that you take in your life, what you're about to be bombarded with for the rest of
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your life is a bunch of news coming out claiming to be the latest and the greatest advances in neuroscience, especially neuroscience and health.
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You're going to see articles claiming things.
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Now some of these are going to be genuine advances, really exciting things that are inevitably going to come out in the next several decades.
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But some of them are going to be BS.
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BS.
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So I want you to learn enough about the fundamental biological principles of neuroscience
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that you can call BS when you see it for the rest of your life.
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Okay.
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So our first lesson starts right now.
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You all know that you can see with your eyes, right?
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Okay.
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So, but your eyes, you kind of, sometimes people think of it as a camera.
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So you can kind of, you can take a picture with your camera.
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You can take a picture of your eyes.
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It kind of is the same thing, right?
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Well, You might know that it is in fact not so.
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What you see with your eyes is not at all what it is in reality.
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In other words, what you think you see is oftentimes not at all what is in the physical reality, because you don't actually see with your eyes, you see with your brain.
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It is nowhere easier to demonstrate this than with visual illusions.
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And so I, when I'm not teaching this course, I'm actually constantly on the lookout for really cool visual illusions.
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I save them.
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It's like, ah, I've got to show my students about this later this later.
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So I'm going to show you a couple of my favorite ones right now, demonstrating this observation that we don't see with our eyes.
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Our eyes are not cameras, and we see with our brains instead.
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Okay, so the first one is a really simple one.
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There's two yellow dots on the screen.
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I'm going to ask you the question, which one appears larger?
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Hopefully, what you can tell for yourself is
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that the one on the right that's surrounded by the relatively smaller purple circles appears larger.
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It will not surprise you because I've already told you this is a visual illusion
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that those two circles are in fact exactly the same size.
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Because if they're surrounded by larger circles
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or surrounded by smaller circles there's a relative perception
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that one of them is larger than the other one even though it is not at all what is happening in reality.
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Your brain is lying to you but it's lying to you for a good reason.
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The second one, this one is a kind of a recent one
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that I saw on social media and I kind of totally broke my brain at the time.
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I sent it to all my friends and broke their brains and were kind of mad at me.
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One of them was actually mad at me because it made them kind of nauseous.
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Okay, so in this grid of dots, what you're seeing is that there's two different sides of this picture.
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So you'll see a bunch of intersecting gray lines
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and there's black dots on the left side as well as the right side of this image.
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What you'll see is that there's a bunch of black dots
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that you can see on the right side of the image and they stay there, right?
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I'm telling you, I'm just gonna tell you have to believe me now.
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The left side has exactly the same number of black dots as the right side.
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But when you look at them
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and you look away they disappear it is almost impossible for me Hopefully this works on your screen even
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if it's a small phone screen you can see that the black dots
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Disappear when I look at it so I'm looking right now.
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I'm looking at up here I can see a couple of
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black dots the ones down here have gone away once I look down I can kind of see the ones down here.
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I can't see the ones up there anymore more.
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Right?
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It makes absolutely no sense how it is that these dots just disappear on you, but they don't disappear on the right-hand side.
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If you don't believe me, I'm going to zoom in.
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On the right-hand side, here's the gray grid with the black dots, and over here is the same gray grid with the black dots.
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As you'll see, the only difference here is
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that the black dots on the left side of the screen are at the intersections of those gray grids, and on the right-hand side of the screen, they are not.
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And so that's kind of a clue kind of a clue of why it is
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that one side the dots disappear and you can't even see them if you look away a little bit.
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On the right hand side they stay put and you can kind of see how many there are in this grid.
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Now visual illusions are cool for two reasons.
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One is that humans are extraordinarily visual creatures and so demonstrating
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that you see with your brain
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and not with your eyes is really easy to do
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and kind of fun and charming to do when you do it with visual illusions.
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But of course these illusions are not, there's nothing intrinsically visual about the fact
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that you can hack your brain by tricking it to think that something is there that it's not.
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And so if we were in a haptic universe, I can show you the following illusion, but right now you just have to take my word for it
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that there's these illusions that exist in other sensory modalities besides visual ones.
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So here's one example of what's called a somatosensory or tactile illusion.
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So it works the following way.
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If you take your arm, okay, you take your forearm region, And what you can do is take something like a little robot arm
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or something and then tap in rapid succession one spot tap tap tap tap tap
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And then I'm gonna do the same thing by tapping at a second spot tap tap tap tap tap tap tap.
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Okay, that's it I'm gonna tap one place location a and a different place location B
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Now the percept the perception of what's happening here is not a series of taps at a
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and a series of taps at B the percept is going to be a series of taps
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that walk from location a
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to location B in rapid succession as If there were a small rabbit
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that is running on your arm
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That is why this is called a cutaneous rabbit illusion now this illusion is pretty robust
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But it does vary depending on exactly what locations you tap
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for example This works on a patch of skin like your forearm
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But it does not work on your fingertips
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because you actually have a ton of touch receptors on your on your fingertips You can actually resolve
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that there's two locations that are being tapped Okay, probably works on your calf and your leg too.
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And you have to be able to tap at the right frequency
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and with the right latency between location A and location B.
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Otherwise, your cutaneous rabbit illusion breaks.
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So, that's the illusion.
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There's tons and tons more of them.
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I can talk about this forever and I'd be tempted to, but we're not going to right now because this is just lesson A.
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And I hope I convinced you with a couple of examples that we don't in fact see with our eyes, we see with our brains.
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And our brains are built in such a way to represent information from the external world, not to just represent them.
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I am not a camera.
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I'm not interested in the reality, what I'm actually seeing right now.
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I'm interested in looking at the aspects of the visual scene and the sensory, tactile, physical scene, the auditory scene, all of these different scenes in such a way that's relevant for me as a person
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and as a living thing to survive in the world.
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Okay, that's why we see with our brains and not with our eyes.
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So to go on this adventure with me, like I said, this is a university level course.
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And so I will assume some basic familiarity with a couple of topics.
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Now, if these are things that you are totally familiar with, that's awesome.
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If you're not familiar with every single one of these topics, it's actually totally okay.
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You can come with me anyway.
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And if it inspires you to go back and review some of these topics, that's something that you can very much do in the middle of the series of videos of videos.
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And so because neuroscience is such an interdisciplinary field, we're going to be drawing a little bit of concepts from a lot of different fields.
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And so here's a list of the things that I will assume that you have heard of and have some familiarity with.
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Okay.
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In the realm of biology, I will assume that you know about the parts of an animal cell, that eukaryotic cell, that it has a nucleus where the genome,
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the DNA lives, that is surrounded by a lipid membrane
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that is hydrophobic and separates the internal environment of the cell from the external environment in the cell.
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I will assume that you have heard about the fact
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that there are proteins in these cells that are expressed from the genome
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and that these proteins are molecular machines that do all the work, the really cool work that we do in all of these animal cells
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because after all in order to understand the neuron we have to understand neurons as a cell, as a cell of your body just like every other cell.
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Because I already talked about how neurons are electrical cells
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We're going to be drawing on a little bit of basic terminology and concepts from electricity and magnetism from physics.
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So relatively basic things like what is a current?
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What is a conductance?
374
What is Ohm's law?
375
Things of that nature.
376
The mathematical prereqs are not too rigorous.
377
I don't expect you to actually know calculus or differential equations, but I am going to use some notations from calculus and differential equations.
378
So for example, if you see something like the following dx dt equals f of x, you should probably have heard of of this concept at some
379
point where dx dt means a derivative of x with respect to t
380
and Oftentimes I'm going to be using t as a proxy for time.
381
So this is a time derivative of x.
382
Okay?
383
I don't expect you to be able to solve these equations
384
But I will be using this as a representation of ideas to connect them with electricity
385
and magnetism as well as to proteins as molecular machines
386
and of course the basic communication of neurons involves not only electricity but also organic molecules.
387
So I'll be assuming some basic knowledge of chemistry and organic molecules.
388
So for example, there's ions like sodium and potassium are ions.
389
They're electrically charged and aqueously soluble.
390
And there's going to be a lot of organic molecules
391
that are going to be important players in many of the things that neurons are going to do.
392
Okay, so here's the itinerary.
393
If you choose to go on this adventure with me, I hope to see you for the next series of videos.
394
I'm really excited to get started.
395
I hope to see you and
396
Because I'm a professor and I'm a pedantic neuroscientist I will have to say
397
that I hope to see you is something that people say on YouTube But I fully recognize that you might see me, but I'm not actually gonna see you
398
But I am excited to make the next series of videos
399
and I hope that you find them as interesting as I have found the exercise of teaching them.
400
Thanks
Uygulamayı İndir
Akıcı konuşmak için ihtiyacınız olan her şey
AI TelaffuzHer cümleyi puanla
IPA AlıştırmasıHer sesi ustalaştır
Kelime BilgisiKelime bankanızı oluşturun
Kelime OyunuOynarken öğrenin
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Bu dersin kelimeleri ve konuşma notları
Bu C1 seviyesindeki konuşma dersi “Intro to Neuroscience, Overview and goals” videosuna dayanıyor. En çok tekrarlanan kelimeler: brain, neuron, neuroscience. Bu videoda gölgeleme çalışması için 400 cümle ve 5769 kelime var. Konuşma bölümü 27:55 sürüyor. Konuşmacı hızlı konuşuyor, dakikada yaklaşık 207 kelime; bu yüzden birbirine bağlanan ve zayıflayan sesler duyacaksınız. Kelimelerin %84’i İngilizcede en sık kullanılan 3.000 kelime arasında; geri kalanına başlamadan önce bakmakta fayda var.
Bu videodaki önemli kelimeler
Videodaki en ileri düzey 15 kelime, telaffuzu ve anlamıyla:
| Kelime | Telaffuz | Anlam |
|---|---|---|
| neuron isim | /ˈn(j)ʊɹɑn/ | nöron, sinir hücresi |
| synapse isim | /ˈsɪnæps/ | sinaps |
| sensory sıfat | /ˈsɛn.sə.ɹi/ | duyusal, duyumsal |
| disappear fiil | /dɪsəˈpɪɹ/ | gözden kaybolmak, yok olmak |
| equation isim | /ɪˈkweɪ.ʒən/ | denklem |
| dynamics isim | /dɑɪˈnæm.ɪks/ | dinamik |
| molecule isim | /ˈmɑ.lɪ.kjul/ | molekül |
| fist isim | /fɪst/ | yumruk |
| rhythm isim | /ˈɹɪð.əm/ | ritim, ritm |
| rabbit isim | /ˈɹæbɪt/ | ada tavşanı, tavşan |
| fingertip isim | /ˈfɪŋɡɚˌtɪp/ | parmak ucu |
| forearm isim | /ˈfɔːˌɹɑːm/ | önkol |
| ganglion isim | /ˈɡæŋ.ɡli.ən/ | gangliyon |
| interdisciplinary sıfat | disiplinlerarası | |
| itinerary isim | /aɪˈtɪnəˌɹɛɹi/ | seyahat yolu, yolculuk yolu |
Duyacağınız deyimsel fiiller
| Kelime | Telaffuz | Anlam |
|---|---|---|
| come out fiil | /ˌkʌm ˈaʊt/ | çıkmak |
| put together fiil | birleştirmek, bir araya getirmek |
Tekrar etmeye değer cümleler
Videodan, günlük konuşmada yeniden kullanabileceğiniz kısa ve tam cümleler:
- I think that's super cool.
- You're going to see articles claiming things.
- I'm going to ask you the question, which one appears larger?
- I can't see the ones up there anymore more.
- I'm really excited to get started.
Bu videodaki dil bilgisi
Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:
| Yapı | Videoda |
|---|---|
| Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem | I've taught · I've now told · have evolved |
| Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli | will be inspired · is devoted · are called |
| İlgi cümlecikleri who / which + cümle — bir kişi ya da şey hakkında ek bilgi | people who are · body which is · millisecond, which is |
Dikkat edilecek telaffuzlar
Konuşmacı I'm, we're, don't gibi kısaltılmış biçimleri 105 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.
- “th” sesleri: rhythm /ˈɹɪð.əm/, logarithmic /ˌlɒɡəˈɹɪðmɪk/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/
- “sh” ve “zh” sesleri: illusion /ɪˈl(j)uːʒ(ə)n/, equation /ɪˈkweɪ.ʒən/, computational /ˌkɑmpjʊˈteɪʃənəl/, differential [dɪfəˈɹənʃəɫ], succession /səkˈsɛʃ.ən/
- Uzun kelimeler — vurguyu doğru yere koyun: electrically /ɪˈlɛk.tɹɪk.li/, familiarity /fəmɪliˈæɹɪti/, itinerary /aɪˈtɪnəˌɹɛɹi/, logarithmic /ˌlɒɡəˈɹɪðmɪk/, magnetism /ˈmæɡ.nəˌtɪz.əm/
Türkçe konuşanların zorlandığı sesler:
- /w/ — dudaklar yuvarlak, /v/ değil: equation /ɪˈkweɪ.ʒən/, weigh /weɪ/
- Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: neuron /ˈn(j)ʊɹɑn/, cutaneous /kjuːˈteɪniəs/, spherical /ˈsfɛɹɪkəl/, spine /spaɪn/, presumably /pɹɪˈzuːməbli/
- /æ/ — “e”den daha açık: synapse /ˈsɪnæps/, dynamics /dɑɪˈnæm.ɪks/, rabbit /ˈɹæbɪt/, familiarity /fəmɪliˈæɹɪti/, ganglion /ˈɡæŋ.ɡli.ən/
Bu videoyla nasıl çalışılır
- Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
- 0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
- Kendinizi kaydedin ve orijinaliyle karşılaştırın; neuron, synapse, sensory gibi kelimelere özellikle dikkat edin.
Gölgeleme Tekniği Nedir?
Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.