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Biology 1350 Science of Perception

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    >>Susan Fisher: Well, we’re back.
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    And we’re going to begin what may strike you as a diversion from our intended goal
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    of learning about the biology of hope and belief.
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    But alas, it turns out if you’re going to understand either one,
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    we have to have a little bit of information of how humans process information
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    and thought. And to do that we need
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    to know something about the nervous system.
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    Now, if you are, perchance, a psychology major, you’ve had all of this stuff.
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    In fact, you can probably safely ignore a lot of what I’m going to say.
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    But for the rest of you, particularly those who have not had grounding in biology,
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    we’re going to spend a total of three modules talking about this.
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    And for some of you this will be the most difficult part of the course.
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    But I promise to tone it down and not ask of you things
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    that we would ask of a biology major.
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    For instance, you will not be asked solve a problem with the Nernst equation.
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    For instance, we are really going to focus on the big picture here.
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    But we do need to know something about the nervous system
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    and how it’s set up and how it functions
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    in order to get a grip on those issues that are relevant to this course.
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    So I’m going to promise you something I cannot deliver.
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    Namely, that talking about the nervous system and the ability to perceive things
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    in the real world will lead us to an understanding of those ineffable things
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    like the mind, the body, the spirit, the soul, all that stuff.
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    Nobody can really tell you what that means.
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    At least we can talk about it with some greater degree of clarity
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    if we first talk about the nervous system.
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    So that’s why we are going to do this.
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    And again, for those of you who take part in these conversations
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    of these modules and of the words and find it to be mind boggling and scary.
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    Don’t worry. You’re going to have three of these to get through.
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    Once you get through them, you’re more or less done with it except the final exam.
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    And so it will be a breeze from here on out.
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    But I like to get these more difficult presentations out of the way upfront
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    so that once you’re done with this you’ve got free sailing.
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    It’s like no big deal.
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    So with that in mind, let’s get started.
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    This is a presentation broken up for you in four convenient parts.
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    During the first of which, we’re going to talk about the classic Robot Experiments.
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    It’s an actual experiment done by actual scientists and this teaches us
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    a lot about the differences between those things that have a brain
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    and those things that do not.
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    So, we’ll start with that and then we’ll go on to talk about
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    the basic functions of the nervous system in living organisms that have it.
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    We’ll continue on with a discussion of the evolution of the nervous system
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    in organisms that have them and conclude with some remarks
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    on the importance of the type and number of neurons
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    and what those characteristics mean for the nervous system.
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    So with that, let us begin.
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    Alright. We are going to talk about this classic experiment
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    involving a very early robot.
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    It’s easily 20 years old, perhaps even a bit older than that.
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    And what these folks were doing, they were in the realm of artificial intelligence
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    and they created this little bot and given it ambulatory functions,
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    as well as having programmed its microchips so it could respond to various commands.
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    And the idea here was that the investigators took this robot
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    and they put it at one end of a room and told it to move across the room
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    and open a door on the other side.
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    So, it was a relatively simple task for which it had the requisite technology
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    at its disposal.
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    It had the ability to respond to programming commands
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    and it had the ability to move and then when it got to the other side of the room
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    to actually physically open the door.
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    So that was what they hoped to do and they wanted to monitor the robot’s progress
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    in understanding and responding to the commands it was given.
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    So it was a simple task but in the hands of… if in fact it had hands,
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    of the robot it was absolutely mind boggling complicated, un-daunting task.
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    Why is this? Well, the robot took the initial forage forward,
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    as it was commanded to do, but at each imperceptible advance of the robot
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    it had to completely restudy its orientation in the room.
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    It had to visually calculate and evaluate the angles.
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    Was it still on the floor? Was the ceiling still up there?
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    What about the walls of the room? Were they still there?
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    All of these things had to be assessed by the little robot.
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    Until he had done that and determined and yes, all is well,
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    I am still where I am, I can take the next advance forward.
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    Let’s say it was two millimeters, not a very big distance
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    but enough to then occasion the robot to have to redo all of these orientation functions
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    again and again and again.
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    So you can imagine that the graduate students involved in charge of this project
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    were thinking, ‘okay, let’s go get a beer because this is taking forever
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    and there’s nothing we can do to move this along’.
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    So, yeah. It was probably not the most interesting thing to watch
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    but it was part of the experiment and if you’re in charge of it
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    this is what you get to do with your very exciting life.
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    So the poor little robot does this again and again
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    and even when confronted with change that we would probably consider
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    to be imperceptible it wasn’t imperceptible to the robot
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    it was a really big change causing great consternation and reinitiation
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    of these functions of evaluating its orientation in space and time
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    so that it could make the next move forward and pursue its goal
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    of opening that darn door. So, it took hours, something like 12 hours
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    for this robot to roll across a distance of 10 or 12 feet
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    but it finally gets to the other side of the room
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    and it dutifully opens the door no big deal.
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    Mission accomplished.
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    But now because they are scientists and scientists like to do creepy things.
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    The scientists took our little intrepid robot and put it back at the starting line
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    on the other side of the room and it told the robot, ‘okay, go open that door again’.
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    But his time the door was emblazed with a big black X.
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    So, to the humans involved this is like no big deal.
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    Yeah, it’s a door. It’s got an X. Who cares? Whatever.
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    But to the robot, it caused complete confusion leading to it not being able to function because why?
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    Well, the robot knew nothing of X’s.
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    What is this thing you call X? I know not.
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    It could not generalize from its previous experience.
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    It could not evaluate and conclude that the X on the door didn’t affect its functions
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    it could easily still open the door. It could not learn.
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    As a result, the poor robot turns away from the door dejected
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    and absolutely unable to accomplish the task that it was given.
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    So, this brings us to a stark reality for that robot,
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    no matter how good its programming any change meant total change
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    because it didn’t have the information in its data banks to evaluate the X on the door
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    and make the decision that it didn’t fundamentally change what it was being asked to do.
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    His previous … I don’t know why I called it a He but I did.
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    Its previous experience did not provide meaningful information
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    against which it could judge the current task and generalize a door was a door.
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    It wasn’t capable of learning that idea in this experiment.
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    Certainly, the kinds of robots we have today are vastly better than the robots
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    that we’re talking about 20 or 30 years ago but the point I’m trying to make is
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    even if we allow for the monumentally improvement in artificial intelligence
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    and robotic technology that have so forth taken place in the intervening 20 or 30 years,
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    even if we allow for that vast change,
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    even the best robots that we could produce today couldn’t come close to handling
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    what a typical two year-old toddler child could execute
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    or even a comparatively lowly, simple mouse.
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    Its brain is eminently more capable of absorbing and processing information
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    than is the best robot that we have today and even an ant which we think of as
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    a mindless automaton, much of the time, is much better capable
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    of understanding information that comes in through the environment
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    and responding appropriately having evaluated the nature of that information.
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    So, we’ve got something really interesting going on.
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    Once we get this thing called a brain and its attended nervous system that supports it.
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    In contrast to the robot, which is a human construction,
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    a living organism has this incredibly difficult task of receiving
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    an endless stream of constantly changing sensory information
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    from the external environment. It is absolutely essential that that organism
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    be able to take this information in and evaluate its importance.
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    And then, it has to having evaluated that information, act appropriately.
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    One of the big things you find out when you study animals,
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    is that much of their day, much of their nervous system activity,
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    is spent deciding what information they can conveniently ignore.
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    And you do this all the time too.
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    You’re sitting at home maybe in the kitchen, there’s a whole bunch of noise,
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    maybe there’s a fan in the ceiling that keeping the room cool.
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    Maybe there’s an air conditioner, the stove might be making noise.
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    The refrigerator makes a humming sound.
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    All of these things are sensory input that your brain has to assess
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    and react appropriately to and you probably won’t respond to any of these things
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    because you’ve learned to block them out.
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    They’re just background noise.
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    We don’t pay attention, however, if the smoke alarm goes off.
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    BAM! You’re right on it because if the place is on fire,
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    you want to take appropriate action.
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    And in the environment, an organisms survival is absolutely dependent on
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    this function; evaluating what you need to know,
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    responding appropriately to ensure your survival that is the first job, major job,
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    of the nervous system.
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    But organisms including humans have a second major task too,
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    and that is to maintain the internal consistency of their inside environment.
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    Your body is an amazing thing.
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    It does all sorts of things that you don’t even think about.
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    And one major part of that goal is to maintain all of the functions
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    that are going on inside your body, inside each cell,
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    within certain prescribed biological limits.
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    We call these limits homeostasis, meaning maintenance of the same state.
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    And it includes all sorts of things that you basically don’t think about
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    much of the time. Thinks such as body temperature,
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    which is one of the few functions that you might think about
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    because your body temperature regularly fluctuates when you exercise
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    or when you’re out in the cold so you have to learn ways to adjust what’s going on
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    so that your body isn’t undone or severely impacted in a negative way
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    by changing temperature.
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    So that’s one you might think about but you probably don’t think about the water level
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    in your cells much, you don’t think about the pH in your stomach.
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    There are all sorts of things going on all of the time.
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    All these body regulatory functions,
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    all of them have limits within which these functions need to take place,
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    otherwise, you get into trouble.
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    And I think it goes without saying, but I’ll say it anyway,
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    a lot of these functions are set up particularly in advance vertebrates, like humans,
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    in such a way that we don’t have to think about them and that’s a really good thing.
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    You have an automatic nervous system that takes care of all of this stuff
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    so that you don’t have to give it a thought and that’s good because for instance,
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    if you had to remember to breathe at some point you would have forgotten and
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    therefore would not be listening to this module today.
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    So, the nervous system does all of these boring, think-less things
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    that we never have to think about and it’s a really good thing that it does.
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    So, if we compare, let’s say, vertebrates, things that have a vertebral column,
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    with other less developed organisms
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    (they might have a nervous system but not one like a vertebrate does)
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    we can start to look at some stark differences in those different kinds of organisms.
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    All organisms have the same very basic needs
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    and first among them is to avoid being eaten by some other organism
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    because that pretty much ruins your day and means you will not be going on
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    to the next part of our game here.
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    But in addition to avoiding predation,
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    organisms have to find, eat and then process food
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    from which you drive energy to run your cells. A good thing.
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    If you’re successful in avoiding predation and getting the necessary resources for life
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    (including not only food but water) then you would have to find a mate
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    so that you can reproduce yourself and send your genes into the next generation.
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    Of course you need some sort of shelter
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    in which you can shelter your body in inclement weather and so forth.
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    So, basically, all of organisms that we’ve going to be interested in
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    have those four basic survival functions,
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    plus some others that we’re not going to talk about because you know, life is short.
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    But if we look at higher level vertebrates in here we include humans,
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    of course, but some other vertebrates as well.
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    We might include dogs, we might include cats, we might include whales,
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    or chimpanzees, or porpoises.
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    In addition to the survival functions,
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    they have some other really interesting things at their disposal.
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    Many of them can perform music of various sorts.
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    Humans are not the only animals that can do this, others can as well.
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    And if we compare the possibilities for vertebrates against our intrepid little robot,
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    we find that virtually all of the activities that these higher level of vertebrates can do are monstrously difficult.
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    If you had to write a computer program to process the kinds of things
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    that advance vertebrates could do, you’d be at it for quite a long time
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    and you’d be a genius and you’d make a lot of money
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    because nobody’s figured out how to do that yet.
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    If we make a distinction between simple organisms
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    as capable of doing the first four things we talked about on this list,
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    we can distinguish them from the more complicated creatures
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    because we and other species that I just mentioned,
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    can do some really complicated, arcane, not necessary for survival
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    kinds of things that include artistic kinds of things.
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    Okay. So, what are those things that organisms can do that
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    robots or a lower level animal cannot do and how is that possible?
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    What is the explanation that provides the distinction between low level processing
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    or survival based functions and the higher, or cognitive, or executive kinds of functions
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    that advanced vertebrates, like us, are capable of.
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    Well basically, the difference is we have these networks of neurons that form
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    the nervous system that have the very important function of signal transduction
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    of sensory input and other kinds of input and once the signal is received,
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    the organisms can process that signal
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    and do a whole variety of different things in response.
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    One thing they might do is compare it to previous experience.
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    In advanced vertebrates, such as ourselves, and the other things I mentioned previously,
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    those organisms can formulate a strategic response
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    so that whatever the problem that arises can be taken care of.
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    We’ll give some more examples in greater detail in a few minutes
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    but the point is, that you have this incredible thing called the nervous system
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    that consists of neurons that allows you to execute all of these very sophisticated,
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    not easy to replicate, kinds of functions within the vertebrate body.
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    And this has been shaped by millennia, through the force of natural selection.
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    It has really come to fruition in terms of cognitive abilities
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    and perhaps some extra cognitive abilities,
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    thought processes that are really important to the way the vertebrate mind works.
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    So, if we look at sort of a spectrum of different possibilities for the nervous system,
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    the nervous system as we understand it basically begins in the lowly worms
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    and other organisms like starfish.
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    We have a very, very basic level of nervous system
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    that I’ll go over in more detail in a minute.
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    Now, as an aside, there are entire classes of really sophisticated organisms
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    that lack a nervous system completely and these are by large the more advanced plants,
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    the angiosperm or flowering plants are a great example.
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    They have no nervous system but they can do all of the homeostatic functions
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    and survival functions even without it.
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    So why have a nervous system if you can have a beautiful, lilac tree, or daisy flower,
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    or rosebush, if you can have those organisms without a nervous system?
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    Why did we bother to invest in a nervous system?
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    And we are going to be taking that up in a few minutes
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    because it’s a thoroughly important question:
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    why is the nervous system so valuable to us that we would not want to forego it entirely
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    like even advanced plants has?
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    Why do we have this nervous system?
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    Well, the basic answer is this:
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    once the organisms on earth stopped being just unicellular organisms,
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    in other words, very early life on earth in fact,
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    for the first three billion years of existence of life on earth
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    all of the organisms present had a single cell.
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    Eventually, after three billion years after trying and retrying,
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    the single cell approach to life,
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    cells began to grip together and form multicellular forms.
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    And even small multicellular forms could exist pretty much as multicellular animals,
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    a group of loosely joined cells that shared some of the functions between cells.
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    But by the time we get to the really complicated organisms
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    that have hundreds of millions of cells in their composition,
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    all of a sudden getting important information from one end of the organism,
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    like the head to the big toe,
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    was really complicated and couldn’t be done efficiently
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    using the kind of processes that were available to single celled organisms
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    or even advanced plants like the angiosperms.
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    So, once organisms, particularly animal organisms became multicellular
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    the processes by which a message could be communicated
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    from one part of an organism to another was simply too slow for the large organisms
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    to respond quickly to changes in internal or external environments
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    and this problem was solved by developing a nervous system
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    which allows for at least in our time scale,
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    the nearly instantaneous transmission of a message from the head to the toe.
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    It’s like when you walk into a room and flip on a light switch
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    it’s nearly instantaneous that the light goes on.
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    And yes, I know that there is finite teeny-tiny period amount of time
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    which there’s no light after you flip the switch
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    but it’s so fast that it might as well be instantaneous
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    and that’s the way the nervous system behaves in a vertebrate body.
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    So let’s talk a little bit about the evolution of that nervous system
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    from the relatively simple forms with which it started
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    to the very advanced forms like that which humans have.
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    All told there are two basic types of nervous systems.
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    We call these diffuse on the one hand this if the primitive form,
  • 24:51 - 24:57
    and the other alternative modality is to have a centralized nervous system.
  • 24:57 - 25:01
    So in the case of a diffuse nervous system…
  • 25:01 - 25:12
    I wonder if I can get my little yeah there we go pen go in here.
  • 25:12 - 25:19
    Okay so an organism with a diffuse nervous system
  • 25:19 - 25:21
    is something like the sea anemone that you see here.
  • 25:21 - 25:22
    It’s just this bundle of little spaghetti like lines.
  • 25:22 - 25:26
    Those are the neurons, the nerve cells,
  • 25:26 - 25:29
    and they’re not highly organized they’re just kind of there like a net
  • 25:29 - 25:32
    like a hair net…something like that.
  • 25:32 - 25:38
    Another example of a diffuse nervous system is the starfish you see here,
  • 25:38 - 25:42
    and it looks a little bit more organized than this sea anemone.
  • 25:42 - 25:43
    And it probably is.
  • 25:43 - 25:44
    It’s a little more advanced,
  • 25:44 - 25:50
    but both of these animals of the sea anemone and the sea star are radially symmetric.
  • 25:50 - 25:56
    They’re not, you can’t draw a singular line down the body of these animals
  • 25:56 - 26:02
    and get two equal halves because they have many planes of symmetry
  • 26:02 - 26:09
    by which they can be divided in half.
  • 26:09 - 26:12
    So they’re fundamentally different from other kinds of animals.
  • 26:12 - 26:15
    The other kind of nervous system,
  • 26:15 - 26:19
    the centralized nervous system, is more common.
  • 26:19 - 26:22
    It’s the more advanced, and here are some animals.
  • 26:22 - 26:24
    Hey, look at all these red lines!
  • 26:24 - 26:26
    I could really get carried away here.
  • 26:26 - 26:29
    Okay so these are all animals that have a centralized nervous system,
  • 26:29 - 26:33
    but even if were talking about a centralized nervous system
  • 26:33 - 26:37
    where large numbers of neurons are gathered together into functional units
  • 26:37 - 26:40
    there are still some fairly cosmic differences
  • 26:40 - 26:44
    between primitive and advanced centralized nervous systems.
  • 26:44 - 26:48
    So we’ll talk about those right now!
  • 26:48 - 26:55
    In terms of the evolution of the nervous systems,
  • 26:55 - 26:59
    even those which are centralized,
  • 26:59 - 27:04
    we would begin with the flatworms.
  • 27:04 - 27:09
    They are the least developed organisms with a centralized nervous system.
  • 27:09 - 27:11
    And what makes this a centralized nervous system
  • 27:11 - 27:16
    is that we have a brain which is an amalgamation of a whole bunch of neurons
  • 27:16 - 27:20
    into a single unit that has a specific functions associated with it.
  • 27:20 - 27:27
    This is a primitive organism because we have two nerve cords extending from the brain.
  • 27:27 - 27:38
    So, this is the inaugural step in the formation of an advanced nervous system
  • 27:38 - 27:42
    but it is not full advanced because of the characteristics I mentioned
  • 27:42 - 27:48
    we then move into the annelids or the earthworms which you see down here.
  • 27:48 - 27:52
    And now, we have a completely centralized brain.
  • 27:52 - 27:59
    It’s this one in the flatworms consists basically of two halves
  • 27:59 - 28:03
    well in the earthworm the two halves get fused together
  • 28:03 - 28:05
    so it’s more highly centralized.
  • 28:05 - 28:15
    We also have only one nerve cord coming out of the brain instead of two.
  • 28:15 - 28:19
    Although, we have highly segmented helper brains
  • 28:19 - 28:25
    or ganglia that run along the length of this single nerve cord.
  • 28:25 - 28:29
    So it’s more advanced than the flatworms’
  • 28:29 - 28:33
    but less advanced compared to what comes after it.
  • 28:33 - 28:35
    What does come after it?
  • 28:35 - 28:43
    Well, the next step in this evolutionary trajectory would be the giant squid that you see here.
  • 28:43 - 28:45
    Where is my line? There it is.
  • 28:45 - 28:51
    Here is our squid, and you can see that this is really nicely centralized.
  • 28:51 - 28:54
    We have a nice big brain. We also have eyes in the squid.
  • 28:54 - 28:56
    Who knew?
  • 28:56 - 29:05
    We have some ganglia left along the central nerve cord,
  • 29:05 - 29:10
    but more importantly what we now have is a whole bunch of peripheral nerves
  • 29:10 - 29:15
    that come off the central nerve cord and innervate other parts of the body.
  • 29:15 - 29:20
    So, those are some of the developments that make this a higher organism
  • 29:20 - 29:23
    that is to say the squid than that which came before it.
  • 29:23 - 29:27
    And lastly, we get to the pinnacle of vertebrate evolution
  • 29:27 - 29:29
    we have the human being.
  • 29:29 - 29:35
    And we now see a very important thing happening up here in the brain.
  • 29:35 - 29:43
    This is our major advance we call this a cephalized nervous system
  • 29:43 - 29:47
    because all of the executive functions are gathered
  • 29:47 - 29:57
    and put into the brain and because the word in Latin for brain is cephalous.
  • 29:57 - 30:03
    If we say a nervous system is cephalized it means all of the important stuff well,
  • 30:03 - 30:05
    that’s not entirely true,
  • 30:05 - 30:10
    all of the executive functions and regulatory functions are given to the brain.
  • 30:10 - 30:13
    Which is in the head and therefore is called cephalic.
  • 30:13 - 30:15
    So, the human nervous system, the vertebrate nervous system,
  • 30:15 - 30:19
    is not only centralized its cephalized.
  • 30:19 - 30:26
    So, as I mentioned, to recapitulate the evolution
  • 30:26 - 30:29
    of simple nervous systems started with the flatworms,
  • 30:29 - 30:36
    which were the first bilaterally symmetrical systems.
  • 30:36 - 30:41
    Although we still had two longitudinal nerve cords.
  • 30:41 - 30:46
    Boy! Can I speak in English? Help me.
  • 30:46 - 30:50
    Then we moved onto the… from the flat worms to the annelid worms,
  • 30:50 - 30:53
    the earth worms that are moderately centralized.
  • 30:53 - 30:57
    They had a very distinct brain with some ganglia coming off the brain.
  • 30:57 - 31:05
    And then we moved on to the more advance stuff of which we're the pentacle.
  • 31:05 - 31:09
    So prior getting into humans we had further cephalization concentration
  • 31:11 - 31:13
    of executive functions in the brain.
  • 31:13 - 31:17
    We had some other things to show up like eyes, certainly important.
  • 31:17 - 31:23
    And control of specific functions, things like locomotion or motion and feeding
  • 31:23 - 31:26
    get compartmentalized and concentrated
  • 31:26 - 31:31
    in the highly centralized nervous system in the brain.
  • 31:31 - 31:35
    So additional examples in addition to the squid
  • 31:35 - 31:41
    are octopuses have a highly centralized nervous system as do insects.
  • 31:41 - 31:44
    Yes, insects do have a nervous system.
  • 31:44 - 31:47
    Who knew? And lastly, we get to us.
  • 31:47 - 31:49
    Where we have lots more neurons present,
  • 31:49 - 31:53
    a very high degree of centralization as you would expect
  • 31:53 - 31:55
    but also this thing called cephalization
  • 31:55 - 32:00
    which is the concentration of all of these important functions in the brain itself.
  • 32:00 - 32:06
    We also have the division of our highly cephalized brain into distinct units.
  • 32:06 - 32:10
    We have lobes that are associated with particular functions like olfaction.
  • 32:10 - 32:15
    Or executive function in the forebrain, the conscious thought,
  • 32:15 - 32:19
    ability to reason, that sort of thing, in the forebrain.
  • 32:19 - 32:25
    I mentioned the five regions of the brain which we’ll go over again in another lecture.
  • 32:25 - 32:29
    And of course, because we have all of these amazingly important functions
  • 32:29 - 32:33
    now residing in a single location in the vertebral brain
  • 32:33 - 32:37
    we’ve gone through an awful lot of trouble to protect the brain
  • 32:37 - 32:41
    by the use of a skull and several other adaptations
  • 32:41 - 32:47
    whose function is to preserve the integrity of the brain against assault.
  • 32:47 - 32:55
    So, in terms of vertebrate nervous systems and the characteristic I just mentioned.
  • 32:55 - 32:58
    We’re talking about all of the things from fish
  • 32:58 - 33:01
    which are vertebrates to us which are vertebrates.
  • 33:01 - 33:10
    Now, at this point it’s a good time to mention that there are three kinds of neurons.
  • 33:10 - 33:17
    The nervous system, as you might expect, is composed of these cells called neurons.
  • 33:17 - 33:22
    And despite the multitude of functions that these neurons have to carry out,
  • 33:22 - 33:25
    there are only three types of neurons
  • 33:25 - 33:29
    irrespective of which kind of organism we’re talking about.
  • 33:29 - 33:31
    So, what are they?
  • 33:31 - 33:34
    Well they are first of all the sensory neurons.
  • 33:34 - 33:40
    Which have the job of carrying information, not surprisingly,
  • 33:42 - 33:46
    from the sense organs to the brain and the spinal cord,
  • 33:46 - 33:49
    and these are the things that help us perceive things
  • 33:49 - 33:51
    that are going on in the external environment
  • 33:51 - 33:55
    and by taking the information up the spinal cord
  • 33:55 - 34:01
    and then to the brain where the information gets analyzed and the response is formulated.
  • 34:01 - 34:07
    We have the ability to take whatever response is appropriate
  • 34:07 - 34:09
    given the information at hand.
  • 34:09 - 34:14
    So these are very important neurons in helping us respond to
  • 34:14 - 34:16
    and perceiving the environment.
  • 34:16 - 34:22
    Secondly, we have motor neurons, which carry messages from the brain and the spinal cord
  • 34:22 - 34:28
    back to muscles and glands which are in the periphery.
  • 34:28 - 34:30
    This is important because as I mentioned
  • 34:30 - 34:32
    you perceive information from the environment
  • 34:32 - 34:35
    through your sense organs feed that information to the brain.
  • 34:35 - 34:40
    The brain analyzes it and figures out what response you should take,
  • 34:40 - 34:44
    and one response you might take is to decide
  • 34:44 - 34:46
    you know what Danger! Danger! Let’s get out of here!
  • 34:46 - 34:50
    And then the brain would send a message
  • 34:50 - 34:53
    using your motor neurons to your muscles
  • 34:53 - 34:56
    saying “get the heck out of dodge. There is danger.”
  • 34:56 - 34:58
    and that’s kind of how it works.
  • 34:58 - 35:02
    Finally, we have these things called inter neurons
  • 35:02 - 35:05
    because you know if you’re sending a message from your brain to your big toe,
  • 35:05 - 35:09
    you know, that’s a lot of ground to cover.
  • 35:09 - 35:12
    And so, your response might start up in the brain,
  • 35:12 - 35:14
    feed information to the spinal cord,
  • 35:14 - 35:15
    and then to a motor neuron.
  • 35:15 - 35:19
    But probably if you’re sending the message a long way
  • 35:19 - 35:26
    then the motor neuron would be given the information by an inter neuron
  • 35:26 - 35:30
    that would serve as an intermediary messenger
  • 35:30 - 35:36
    between the spinal cord and the motor neuron that generates response.
  • 35:36 - 35:41
    So even though the stuff we’re going to be talking about is incredibly complicated,
  • 35:41 - 35:47
    the basic machinery used to perform those functions is pretty simple.
  • 35:47 - 35:52
    We’re always talking about neurons of one form of another.
  • 35:52 - 35:55
    And there’s only three. How hard can this be, I ask you.
  • 35:55 - 35:58
    So here’s an individual neuron,
  • 35:58 - 36:03
    and it very nicely shows the important structure of the neuron
  • 36:03 - 36:06
    that I’m going to want you to be familiar with.
  • 36:06 - 36:11
    First of all, we have what we would call a cell body,
  • 36:11 - 36:14
    and this is the part of the cell that contains
  • 36:14 - 36:18
    all of those organelles that you learned about in basic biology class
  • 36:19 - 36:22
    that carry out the important functions of running the cell.
  • 36:22 - 36:28
    Things like the nucleus, the mitochondria, the Golgi bodies, the ER
  • 36:28 - 36:31
    all of that stuff is contained here in the cell body
  • 36:31 - 36:35
    which is also known as a Selma in the case of a neuron.
  • 36:35 - 36:39
    So that’s the first important part of the cell I want you to know about.
  • 36:39 - 36:44
    The second part of the cell which is distinct, two cells that are neurons
  • 36:44 - 36:52
    are these highly branched functions that branch off or come off of the cell body.
  • 36:52 - 36:57
    And these are given the name dendrites.
  • 36:57 - 37:01
    They’re very important because they serve as part of the mechanism
  • 37:01 - 37:05
    that helps this neuron communicate with other neurons.
  • 37:05 - 37:09
    So that’s the second important part the dendrites.
  • 37:09 - 37:11
    They’re distinguished by the fact that they have
  • 37:11 - 37:12
    all these little branches on them,
  • 37:12 - 37:18
    and incidentally the word dendrite comes from the route dendrology.
  • 37:18 - 37:20
    Dendrology is the study of trees.
  • 37:20 - 37:26
    Trees have branches, and that’s why these highly branched processes were named dendrites.
  • 37:26 - 37:28
    Because biologists are very clever.
  • 37:28 - 37:31
    I’m sure you will agree.
  • 37:31 - 37:35
    Okay! The third important part of the neuron
  • 37:35 - 37:39
    is this long unbranched process, which we call an axon.
  • 37:39 - 37:40
    A.X.O.N.
  • 37:40 - 37:45
    At the end of the axon we see some branches,
  • 37:45 - 37:49
    but it’s not the same as the dendrite which is branched throughout its length.
  • 37:49 - 37:53
    So this third important art is called the axon.
  • 37:53 - 37:58
    Now over here you see a whole bunch of neurons together.
  • 37:58 - 38:02
    So these things, these big yellow globs, are the cell bodies,
  • 38:02 - 38:06
    and all the rest of these spaghetti like hairy processes things
  • 38:06 - 38:12
    are the collection of axons and dendrites that join these neurons together.
  • 38:12 - 38:15
    And don’t worry well talk about this again.
  • 38:15 - 38:20
    “Oh joy”, I hear you cry.
  • 38:42 - 38:46
    So if we add it all up
  • 38:46 - 38:50
    and try to account for the difference between, let’s say, a nematode and a man
  • 38:51 - 38:53
    it’s actually pretty easy.
  • 38:53 - 38:59
    It’s simply the number of neurons and the structural arrangement in the nervous system.
  • 38:59 - 39:05
    So basically the grater the number of neurons an organism has
  • 39:05 - 39:09
    the greater the complexity of that organism’s thought processes
  • 39:09 - 39:16
    and the greater the potential range of adaptive responses
  • 39:16 - 39:18
    to any particular stimulus will be.
  • 39:18 - 39:25
    So if we take for instance a flatworm that faces mortal danger,
  • 39:25 - 39:32
    its primary mode of dealing with that problem is simply to leave the area,
  • 39:32 - 39:36
    to get away, to flee if it can do so.
  • 39:36 - 39:41
    However, if were talking about a human facing mortal danger,
  • 39:41 - 39:46
    that human responses are much more nuanced
  • 39:46 - 39:50
    and may include things like prevention…
  • 39:50 - 39:54
    don’t go into an area where danger lurks for instance.
  • 39:54 - 39:58
    But, having been presented with danger
  • 39:58 - 40:01
    you can then form a plot to escape
  • 40:01 - 40:05
    or maybe you had the foresight to bring a weapon with you
  • 40:05 - 40:11
    so those would be additional avenues by which you could avoid the danger that is present.
  • 40:11 - 40:14
    Or maybe you got your cell phone on you
  • 40:14 - 40:18
    because God knows all youth have a cell phone.
  • 40:18 - 40:20
    I don’t understand this.
  • 40:20 - 40:24
    My children feel naked without their phones.
  • 40:24 - 40:27
    I’m, you know, I’m perfectly happy with a rotary phone that hangs on the wall,
  • 40:27 - 40:30
    but you know I’m old. Okay.
  • 40:30 - 40:32
    So if you’ve got your phone on you,
  • 40:32 - 40:36
    you can you know do a quick dial to a friend and say
  • 40:36 - 40:38
    “Help me! Help me! Send to cops.”
  • 40:38 - 40:42
    Or whatever, and so you have this other modality by which you can respond.
  • 40:42 - 40:47
    Because you’ve got these extra neurons and a highly centralized and cephalized brain.
  • 40:47 - 40:49
    Good job!
  • 40:49 - 40:55
    So as the complexity of a species brain increases in the vertebrate lineage
  • 40:55 - 40:59
    the number of neurons also increases
  • 40:59 - 41:01
    and that is the one major characteristic of
  • 41:01 - 41:07
    increased executive function with higher numbers of neurons.
  • 41:07 - 41:10
    In addition, the existing neurons,
  • 41:10 - 41:13
    because even more intimately entangled through
  • 41:13 - 41:20
    the elaboration of dendrites in other words,
  • 41:20 - 41:24
    the number of connections between the neurons that exist in highly complicated species also increases.
  • 41:24 - 41:30
    In addition, as the number of in neurons increase.
  • 41:30 - 41:33
    They also begin to cluster in these specialized units
  • 41:34 - 41:35
    that we were talking about
  • 41:35 - 41:41
    and that increases again the sophistication of processing that is possible in that brain.
  • 41:41 - 41:47
    So circuits develop among various structures within a highly sophisticated vertebrae,
  • 41:47 - 41:48
    vertebrate brain,
  • 41:48 - 41:53
    and the idea behind the circuits is to be able to rapidly share and trade information
  • 41:53 - 41:59
    in a rich multi-layered perception and potential response to the world.
  • 41:59 - 42:02
    And really advanced vertebrates,
  • 42:02 - 42:04
    have an existing, excuse me,
  • 42:04 - 42:08
    additional thing which we call memory
  • 42:08 - 42:12
    that can be used to make future decisions
  • 42:12 - 42:16
    based on things that have been happening in the past
  • 42:16 - 42:17
    and were stored in the brain.
  • 42:17 - 42:21
    So you can see that as the number of neurons increases.
  • 42:21 - 42:24
    We have no idea what kind of memory a flatworm has, probably not much.
  • 42:24 - 42:28
    Probably most of its functions are instinctual in nature,
  • 42:28 - 42:30
    but by the time we get to humans,
  • 42:30 - 42:34
    we can log all this information into our data banks.
  • 42:34 - 42:39
    We can store it, we might modify it if there’s an emotional attachment to it
  • 42:39 - 42:44
    or if there’s a learning function that goes with it.
  • 42:44 - 42:46
    We’ve got all of this function that we can use
  • 42:47 - 42:52
    to give ourselves multiple options for any situation that arises.
  • 42:52 - 42:55
    In fact, the human brain is so darn complex
  • 42:55 - 42:59
    that we can just we can do amazing amazing
  • 42:59 - 43:03
    I mean I cannot emphasize how incredibly amzing
  • 43:03 - 43:05
    all of these things are.
  • 43:05 - 43:06
    Not just survival that we’re looking at,
  • 43:06 - 43:09
    humans want to do all sorts of other things.
  • 43:09 - 43:12
    Like anticipate the future.
  • 43:12 - 43:15
    Think about how amazing that is.
  • 43:15 - 43:17
    We not only know that a future exists.
  • 43:17 - 43:21
    We can imagine different outcomes for that future.
  • 43:21 - 43:24
    We can play different scenarios in our mind,
  • 43:24 - 43:30
    and once we’ve done that we might take actions born of our internal desires
  • 43:30 - 43:32
    and our memories and our life history
  • 43:32 - 43:36
    to secure a particular outcome in that future.
  • 43:36 - 43:41
    It’s an amazing thing because it requires the integration of all things,
  • 43:41 - 43:44
    like memories of our experiences.
  • 43:44 - 43:48
    We might not even have our own memories.
  • 43:48 - 43:54
    We might have memories that are given to us by stories,
  • 43:54 - 43:58
    by the sharing of other people’s experiences and desires and attitude
  • 43:58 - 44:03
    through language, through books, or through sitting at the dinner table
  • 44:03 - 44:06
    listening to stories from our collective pasts.
  • 44:06 - 44:08
    It’s amazing!
  • 44:08 - 44:10
    So we get these ideas that don’t even come from our own experience
  • 44:10 - 44:12
    but from other people’s,
  • 44:12 - 44:15
    and we integrate them into our data banks.
  • 44:15 - 44:17
    Humans also have,
  • 44:17 - 44:20
    perhaps a unique ability, we're not really sure about this,
  • 44:20 - 44:27
    to conceive a really things that you can’t really see necessarily
  • 44:27 - 44:29
    but you know it when you see it
  • 44:29 - 44:31
    to paraphrase a supreme court justice.
  • 44:31 - 44:33
    So we can conceive things like beauty.
  • 44:33 - 44:38
    So this beauty, does a flat worm think of beauty does a sheep?
  • 44:38 - 44:41
    I don’t know. Certainly humans do.
  • 44:41 - 44:43
    I think there’s some birds that do
  • 44:43 - 44:47
    because they certainly invest a lot of energy into making beautiful males
  • 44:47 - 44:51
    to be attractive to females who choose normally these sexually departments.
  • 44:51 - 44:56
    So, you know we’ve got some other organisms that then might have a sense of beauty
  • 44:56 - 45:00
    but humans at least have the ability to not only see it
  • 45:00 - 45:03
    but write about it or make representations of it.
  • 45:03 - 45:05
    It’s kind of amazing.
  • 45:05 - 45:08
    We’ve also cultivated a moral sense,
  • 45:08 - 45:10
    an idea that some things are right and some things are wrong.
  • 45:10 - 45:12
    Now here we do not stand alone.
  • 45:12 - 45:17
    There are other organisms among the vertebrates who also have a moral sense,
  • 45:17 - 45:21
    but in humans it also becomes a full flower or methyl flower.
  • 45:21 - 45:24
    We at least know what’s morally correct.
  • 45:24 - 45:26
    We doesn’t always do it, I know, but there’s that.
  • 45:26 - 45:30
    We understand virtue. We understand good and evil.
  • 45:30 - 45:36
    We are at east hopeful that we will choose the good and not the evil,
  • 45:36 - 45:39
    but as you know that doesn’t always happen either.
  • 45:39 - 45:42
    Even more importantly and more interestingly,
  • 45:42 - 45:45
    we have this massive creative sense.
  • 45:45 - 45:48
    Humans are by their very nature artists
  • 45:48 - 45:53
    and this comes into play very early on in the human lineage
  • 45:53 - 45:57
    where people were drawing pictures on cave walls
  • 45:57 - 46:03
    and making pots and even when they were doing something fairly proletarian,
  • 46:03 - 46:04
    like making a weapon,
  • 46:04 - 46:07
    often they decorated it just to make it pretty,
  • 46:07 - 46:09
    obviously it didn’t improve its function,
  • 46:09 - 46:12
    but it made it look pretty.
  • 46:12 - 46:13
    That’s what humans are.
  • 46:13 - 46:16
    We have this genius and this inspirational sense
  • 46:16 - 46:19
    that motivates us to do these really really interesting things
  • 46:19 - 46:23
    and then beyond that we’ve got this organization of society
  • 46:23 - 46:29
    that is not the product of biological entities.
  • 46:29 - 46:31
    We’ve created a culture.
  • 46:31 - 46:33
    We have a complicated economic system.
  • 46:33 - 46:35
    We have different economic systems.
  • 46:35 - 46:36
    Some countries like it one way, some another.
  • 46:37 - 46:40
    We have technology. We have science.
  • 46:40 - 46:47
    We have humans who have, in their free time, just you know one day created calculus.
  • 46:47 - 46:49
    You know? You just...
  • 46:49 - 46:53
    Isaac Newton invented calculus one day doing nothing else.
  • 46:53 - 46:56
    After he was done inventing gravity,
  • 46:56 - 46:59
    well he didn’t invent it, but he figure it out.
  • 46:59 - 47:00
    How it worked.
  • 47:00 - 47:02
    And then you’ve got Einstein and MC squared and Mozart.
  • 47:02 - 47:05
    How do you account for Mozart?
  • 47:05 - 47:07
    You know it just boggles the mind,
  • 47:07 - 47:13
    but that is the kind and the level of thing of which humans are capable
  • 47:13 - 47:17
    because we have this thing called a nervous system
  • 47:17 - 47:21
    that operates at an excessively high level.
  • 47:21 - 47:27
    So there’s your study guide for the science of perception
  • 47:27 - 47:30
    and we’ll take it up
  • 47:30 - 47:35
    we’ll take the nervous system up again in the next two presentations.
  • 47:35 - 47:39
    I know, no need to thank me.
Title:
Biology 1350 Science of Perception
Video Language:
English
Duration:
47:48

English subtitles

Incomplete

Revisions