What is a Thought? How the Brain Creates New Ideas

 What is Associate in Nursing idea? 

        What is a thought?  and the way can we think about these nice and new concepts that area unit price spreading? My name is Henning gesture. I’m a brain research worker, and that i wish to point out you what's occurring in your mind once you use data to relinquish rise to new thoughts. this can be vital as a result of data is all around US. many of us suppose it all starts with information. Date, the resource of the sty century. information is everyplace. corporations collect our information, we tend to do information analysis and information correlation, however if truth be told, information itself is pretty easy it’s simply a group of letters and numbers, signs you'll method electronically, however haven't any that means, and you'll live information, however you can't live a thought. as a result of once area unit you actually artistic or innovative? once you have k thoughts, only one, the important game changer. So, perhaps data is a lot of vital. we've got such a big amount of tools today to accumulate data. we've got sensible phones, mobile devices, and also the web everyplace. however ne'er misunderstanding data with having a thought or information, as a result of you'll Google data, however you can't Google a thought. as a result of having a thought, deed information, understanding stuff, this can be what's happening in your mind once you use data to vary the manner you think that. So, what's that sort of thinking? Well, everything you see here is simply the surface of what's going onion your mind once you suppose. Most of the items run subconsciously, that makes it damn laborious to research however even 

a lot of fascinating. So, let's zoom into the brain to envision out what's occurring after we suppose. many of us suppose the brain are a few things sort of a mainframe computer, just like the final calculative engine. it's presupposed to be very quick, super connected, and extremely correct. once you have one thing on your mind, like straight away hopefully, a picture, or a picture, or one thing like that, you'll see terribly sharp and precise and switch terribly simply, a lot of quicker than a pc, right? as a result of what are you able to do with this one? This one's a minimum of fashionable, it's attractiveness on your desktop, however that is it, right? Well, cross-check this once more and you see it's very the opposite manner around. A pc you'll placed on your desktop simply calculates. Billion times a second. Brain cells area unit a lot of slower and solely do operations most speed. pc do not create any mistakes rough estimation is one error during a trillion operations, and brains, you almost certainly apprehend this from your personal life, rather more error prone, and create mistakes a billion times as usually. In computers, you'll plug into the net, and you are connected with the planet contrary to the brain. as a result of the brain is per cent self-oriented, most of nerve fibers ne'er get outside of your bone, most of the brain cells ne'er see what is going on on in point of fact. So, from this angle you have got to mention "Okay the brain is everything however good. It is lame, it's lousy, and it's stingy, and it still works."Look around you, operating brains where I look, a lot of or less. But still, every one of you has the facility to surmount each ADP system by a really easy experiment. I will show you during a minute. 

So, what does one see here? A face, you may say. altogether correct. I might additionally say it's simply a group of fruits and vegetables, however you see a face. And what is fascinating isn't that you simply know, however how briskly you are doing that. as a result of once your brain cells area unit very that slow, you'll solely do like, perhaps operations inside that moment. pc computer code wants more steps, thousands, even lots of steps to come back to a similar result. This leads US to the basic principle of however we expect. as a result of it's very completely different from something we all know of in our world. So, however would a pc approach that sort of problem? Well computers use algorithms. Algorithms area unit primarily stepwise recipes telling you what to try to to. So, once a pc faces an explicit drawback, {for instance|as Associate in Nursing example|for example} acknowledge a face or solve an equation or whatever, the fundamental principle goes like this you have got Associate in Nursing input, then you method that input in line with the formula, finally reaching Associate in Nursing output. Input, processing, output. That’s nice. That’s nice once you do not do any mistakes as a result of once you do a slip at the start, you’re screwed at the top. That’s why computers generally break down and find yourself during a blue screen. What a tragic face, by the way, poor guy. Computers break down. Brains don't break down. Unless you apply some external force, or alcohol, or one thing like that, however typically brains area unit terribly strong. and that is as a result of we expect with a trick. once Associate in Nursing input hits our eyes, the input is processed by the sensory cells in our eyes, and that they get motivated and actuate the neighbors during this neural network. So, this can be sort of a simplified model of your brain in action. you've got to agree for instructive  reasons; I drastically simple that model of your personal brain. a minimum of I hope thus. however you continue to see the essential principle. Brain cells ar dumb on their own, cannot do something a lot of. however if you've got plenty of them, you finish up with one thing USA calla activity pattern, Associate in Nursing activity state of that specific somatic cell network. And this activity pattern, this can be what we tend to decision a 

concept. massive distinction to a pc. The brain doesn't distinguish between process and output as a result of process the knowledge is that the thought itself. That’s quite tough however perhaps it's like Associate in Nursing orchestra If you inspect Associate in Nursing orchestra from the surface, seeing all the musicians sitting next to every alternative however not taking part in any music, you've got no plan any melody this orchestra is in a position to play. a bit like the brain. after you inspect the brain from outside, you've got no clue any thoughts this method is in a position to suppose. In Associate in Nursing orchestra, the melody emerges once the musicians begin to play along and synchronize themselves. So, the music, the melody, is among the players. a bit like a concept within the brain is among the brain cells after they synchronize with one another. So, a concept isn't situated anyplace. a concept is however the brain cells act, and the way they method the knowledge. So, that is completely different to a pc as a result of regardless of what quite process the pc uses, whether or not it's algorithmic  or a deep learning network, or no matter fancy methodology we are going to return up with within the future, it'll invariably be "input, processing, output," while not mistakes, hopefully. however if you do not do any mistakes, you only find yourself at the place you were programmed for. however obscurity new. Computers ar intelligent, however intelligence is nothing special. Intelligence means that you follow the foundations as quick and with efficiency as doable, however to not modification rules. No super intelligent pc can ever rule the globe as a result of intelligence isn't enough. you would like to be a rule-breaker, a game-changer, you would like to be crazy and artistic too. And it is the mistake in our thinking, not the perfection, that separates USA from the noncreative machines. What do I mean by mistake? Well, it implies that we are able to return up with a brand new thought, a brand new activity pattern while not knowing before whether or not this can be correct or not. Slightly otherwise motivated, we tend to get a brand new pattern, a brand new thought, however we do not apprehend whether or not this one is correct or not. We try. We fail. we tend to get it on once more.But there is not any objective criteria for a decent plan.Well, there is one issue.When is a thought a decent one?When someone else says, "This may be a smart plan,"but this social interaction, this social feedback,this try to error, this social apply, can't be digitized straight away.And that's one reason why really new concepts can keep analogue in our future.You see that this type of thinking provides USA nice advantagewhen it involves making new concepts, and that we decision that special typeof thinking "concept thinking," or categorised thinking.And rather than explaining the theoretical backgroundand explaining what is behind that,I'll provide you with Associate in Nursing example.How you produce new ideasWho thinks that this can be a chair? Please raise your hand.Alright many thanks.Who thinks that these ar chairs too?Please raise your hand, right, very well. you are quite aware of furnishings.That's excellent, yes.And here's the task WHO think's that these are chairs?The longer I wait the a lot of hands I see. Thank you. however why?Why does one suppose this blue plastic ball with 3 stumps may be a chair?Well, this can be the large distinction between the pc world and also the brain world.What you see over here is what we tend to decision deep learning,and you provides a self-learning algorithmsa gazillion of pictures Associate in Nursingd one or two of hundred imagesof chairs so it analyzes the total knowledge and says with  per cent certaintythat a chair is an object with four legs, a seat, and a support.But we do not do that; we tend to understandthat a chair isn't a special formed object,but one thing you'll be able to sit on.And once you understood that, you see chairs everyplace.You can produce new chairs, with new styles and options.Here's another example, however you are doing that basicallyComputers learn.But learning is nothing special,because animals learn; blackbirds learn, dolphins learn,elephants learn, computers learn, we tend to perceive.Deep learning is nice, however deep understanding is best.Because after you learn one thing, you'll be able to unlearn it,but once you understood it, you can't de-understand it againbecause understanding meansthat you modify the means you method info,and since process and output is one and also the same in our brain,we perceive in no time on the spot.As I same another exampleno pc is in a position to follow that downside,but you are able to know it at intervals a second.I'm not a decent artist in the least however it ought to be enough.I say that this can be a flower.If this can be a flower, what's this?A tree.If this can be a flower, and this can be a tree, what may this be?A forest, or a garden, or any.So, you understood this, however I say that this...is a child.If this can be a baby, what may this be?A grown-up.If this can be a baby and this can be a grownup, what's this?A family, of course.Data is that the same.Information is completely different,and understanding is however you utilize data|the data} to vary your knowledge.