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If you want to learn how to take wildlife pictures, for example, make sure the camera you choose has a compatible telephoto lens. Sensors come in all different sizes. Larger sensors are better for a number of different reasons. First, images captured on a larger sensor have a higher resolution, because a larger sensor equals a larger photo and better image quality. Bigger sensors also handle low lighting scenarios better. Larger sensors also make it easier to get soft, out-of-focus backgrounds. When it comes to DSLR cameras, there are two options for sensor sizes. A full frame or 35mm sensor is a bit larger—these cameras are usually considered professional DSLRs.

They offer more resolution, but also a much higher price tag. So why mention it at all? Sensors that are backlit perform better in low lighting than sensors that are not. This filter helps prevent distortion in patterns called moire—the most common example is a shirt with fine stripes that start to bend and whirl together when photographed.

Sensor technology is allowing some of this distortion elimination to be done without the use of that filter. Why is that important? The filter is one more thing between the sensor and the light. Cameras without the optical low pass filter tend to have more detail and richer colors. That enhanced detail is a big help, though if you would like to do a lot of fashion photography or product photography for a clothing boutique, that extra moire prevention may be the better option. Megapixels determine how much resolution your camera has. The number of pixels along one side multiplied by the number of pixels on the other side gets you a megapixel count.

Cameras with more megapixels produce higher resolution images, so you can print bigger photos or crop without ruining the photo. Megapixels are not as important as sensor size in determining image quality. Then, the camera with more megapixels will have the higher resolution. Cameras with high megapixel counts are more prone to noise at high ISOs, although many modern cameras have high megapixels with excellent noise reduction. One more thing to consider—more megapixels means bigger image files. They would laugh at the great philosopher's theories.

Their brains are better primed for scientific thinking than the brain of the greatest philosopher of the 4th century B. In today's world, your IQ or the folding of your cerebral cortex are valuable assets but they are ultimately less important than your ability to solve problems. This ability is based on knowledge. And knowledge is inherently acquirable.

One thing you must not forget though: Make your learning smart: To build genius, your learning program must be based on high applicability of newly acquired skills and knowledge. If you memorize the whole phone book i. On the other hand, a simple formula for expected payoff may affect all decisions you make in problem solving and in life in general. It can, for example, save you years of wasted investment in lottery tickets. Millions of people are enticed with huge lottery jackpots, yet they would never agree to give up their whole income for life in order to get it back at retirement in one-off payment, which is a frequent probabilistic payoff equivalent of taking part in lotteries.

Using the terminology defined above, you will find most benefit in mastering and understanding highly abstract rules of logical thinking and decision making.

To accomplish smart learning, you will need to constantly pay utmost attention to what material you decide to study. You must avoid short term gratification at the cost of long-term learning. It may be great fun to learn all Roman emperors and details of their interesting lives and rule. However, unless you study with a big picture in mind e.

In other words, you cannot be guided just by the fun of learning but by your goals and needs. In time, you will learn to see the link between long-term learning and long-term benefits. You will simply conditions yourself to love beneficial learning. Hard study material can still provide instant gratification. While you focus on your goals, you cannot forget about the overall context of human life.

You cannot dig solely into studying car engines only because this happens to be your profession. This would put you at risk of developing a tunnel vision. Your genius could be severely handicapped. You might spend years improving liquid fuel engine efficiency while others would leap years by getting involved in hydrogen engines.

Their decisions would not come from genius itself but from an extensive knowledge of the field, relevant sciences and the human endeavor in general. One of the main reasons for which companies go bankrupt is that their leadership fails to spot the change. As corporate darwinism eliminates short-sighted teams, future society will witness more and more intellectual darwinism. To understand the trends and the future, you need to study human nature, economics, sociology, history, neurophysiology, mathematics and computing sciences, and more.

The more you lick the stronger your predictive powers and your problem solving capacity and creative strength. A bright year-old Microsoft programmer has suggested to me recently that I use wrong examples in my articles on learning. He specifically referred to the question " Which year was the Internet born? He implied I should use more "useful" examples to encourage readers. Here my own tunnel vision showed up as I found his position very surprising. I misjudged the concept of trivia in the eyes of people that do meet the criteria of genius.

The term trivia excellently reflects the sort of knowledge we do not want to learn in the quest for genius. These are not-so-useful facts or rules of low applicability. However, the concept of trivia is highly relative. To a child in a kindergarten, the birth of the Internet is rather meaningless.

At this stage of development, the child may find it difficult to grasp the concept of the Internet itself. Most of parents will wait until the primary school before showing a child a web browser esp. The value of putting the date on the birth of the Internet probably develops only in the context of an effort to understand the history of technological development. In this context, may be as important as the years of Gutenberg. When we figure out that we landed the man on the moon before making the first connection via the net, looms larger.

If we dig deeper, we may find it inspiring to know that when Charley Kline tried to log in on October 29, , the network crashed as he typed the letter G. This little detail may still contribute to your genius! Say you work on commissioning a major installation you worked on for several years. You know that the installation implements revolutionary concepts yet it keeps on crashing.

You are about to lose hearth. This may not necessarily be an emotional event, after all you also need to apply probability to deciding when to give up blind-alley pursuits even after years of investment. The juxtaposition of the small letter G and the groundbreaking concept of the interconnected world will help you see the big picture.

If your concept is great enough, you will go on through another crashes in hope of diagnosing the reason. If you win, your measure of genius will be enhanced. Listen to other people's advice and valuations. The younger you are the more you should listen. In the end though, it must be you who determines the criteria for sifting golden knowledge from trivia. Only you can measure the value of knowledge in the light of your own goals.

Remember that not all knowledge can easily be formulated in a declarative manner. Remember then to use the power of your own neural networks: You and others may not be able to see or verbalize some rules but your brain will extract them in the course of practice. Once the rules have been developed, try to formulate them and write them down. This can be of benefit to you and others. In early versions of SuperMemo, your decisions related to sifting trivia from valuable knowledge would be binary in nature: In , the concept of the forgetting index made it possible to memorize items with a given probability of recall.

In SuperMemo , with incremental reading , there is a continuous transition from trivia to your platinum genius-building knowledge. Apart from the forgetting index, you can use ordinals and rescheduling tools to manage unheard-of quantities of knowledge Predicting the future. The ability to "see" the future is one of the best tests for genius. The nature of spacetime does not seem to make it possible to probe the future like we can probe the past via historical records.

However, the laws of physics provide a strong platform for peeking into what may happen. A ball falling freely to earth may be an easy guess based on the Newtonian laws of gravity. However, the true difficulty in predicating the winner of Gore-Bush clash in October came out only after the election day on November 7. Guessing the winner of the election today would be yet harder.

Guessing on the state of mankind beyond is a game reserved for only the best-equipped futurist minds. Predictive powers are so good in probing genius because they test all of these: Write down your predictions of the future today. In five years you will be amazed with your own predictive lapses. When will we be able to cure AIDS or cancer? When will we talk freely to computers? What job will you land after graduation?

Would you predict the web explosion in i.

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Or in i. What knowledge do you think you lack today to make your predictions more accurate? Predictive powers are the cornerstone of success in business. Those who can see the technologies and trends that will shape a market in years are posed to do well. Here comes the value of basic sciences such as math and physics in extracting trends from the chaos of the modern world. The value of math and physics comes from the fact that it equips you with highly abstract rules with a wide range of applications. This is why it pays highly to learn artificial intelligence, neural networks, sociology, neurophysiology, systems theory, statistics, evolutionary psychology, history, etc.

Those sciences formulate rules that make it possible to better understand the reality, and most of all, draw conclusions about the reality. Those rules are the tools of computation for processing the picture of reality in your mind. Here is an example: The Turing machine is a sort of a toy computer that scans a tape of symbols and stamps the tape depending on the currently read symbols and its own state. Turing's early intuition was that his toy computer, given enough time, could compute everything that is computable.

If future was deterministically computable from the quantum states of subatomic particles, the Turing machine could compute it.

Chris Diamond

If future was non-deterministic, the density function of individual outcomes could be computed too. The Turing machine became the simplest possible metaphor for the human brain. Turing could see the parallel between the shifting states of the Turing machine and the states of the human mind, including emotional states and the most complex computations of the human thought. Turing could then state boldly that one day machines will be as intelligent as humans. The famed Turing test is based on putting a computer in one room, a human in another, and testing if outside observers could distinguish between the two by means of a conversation e.

Once computers become indistinguishable from humans, they will have been said to have passed the Turing test. Most of people living at Turing's time the s would disagree, but their predictive powers were limited by lack of tools for understanding the mind and computation.

Turing machine and basic truths about its properties, equipped Turing's brain with tools that made it easy for him to see the simple parallel between the mind and the machine. For most researchers in the area of artificial intelligence, it is obvious that the Turing test will be passed sooner or later. Perhaps in , perhaps in , but it will happen. In the s, Herbert Simon, using the same abstract rules related to computation, spoke loudly about his belief that the computer will beat the world chess champion within ten years.

He was off by thirty years. This illustrates the difficulty in predicting the future, as well as the power of some basic abstract rules. In this case, Simon concluded that given the appropriate objective function for evaluating chess positions, it is only the matter of the number of moves the computer can process before it can produce better moves than a human being.

He underestimated the power of human brain in simplifying read: Yet the ultimate outcome of Simon's prediction was inevitable and obviously true. This example illustrates how a simple abstract tool Turing Machine can be used to predict the future fate of the Turing test by providing a simple model of complex reality human brain and its behavioral characteristics. Ray Kurzweil is probably best know for his improbable-sounding predictions of the future. Machine intelligence is not only obvious to him.

It should also come sooner than most AI researchers predict. Kurzweil's predictive powers come from immense knowledge of technology, sciences, and the society. Kurzweil's case shows how extensive learning equips the brain with genius powers of which predictive powers are so noticeable. Kurzweil predictions including world wide web have already materialized in a number of cases. That could be the shortest way towards reading the future save your own years of heavy learning.

There is no reason for any individual to have a computer in their home. Possibly reading this text on your home PC, you may wonder how Ken Olson could possibly be considered bright if he could not see an obvious value of the PC?

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His blunder does not detract a bit from Olson's brain powers. After all, he did not reach the top of DEC by chance or connections. He built it from the ground up. His creative powers were in this particular case curtailed by his own experience with computing fascination with the power of VAX and VMS in juxtaposition to a weakly microcomputer. Yes, knowledge can be detrimental too. Einstein's relativity theory gained him the most identifiable status of the ultimate genius of science mostly due to the fact that he was able to extricate himself from the Newtonian mold that is so natural to our day-to-day thinking.

Not being able to break the mold is not a sign of lacking genius! It is simply a sign of being burdened with the prejudice of one's current knowledge. In no way should this mean that learning on its own can be detrimental. It never is as long as we do not apply the creative mold to the learning process itself.

One of the most important rules your genius brain needs to store in the very beginning is that: Rules can be added, modified, deleted or replaced. You need to strengthen your rules related to fuzzy logic. In simple words, you have to learn to think in terms of the probability of truth. SuperMemo makes it easy to see that knowledge we are fed daily via various media is rich in contradictions.

If we learn with a lower degree of retention classical learning , new contradictory knowledge easily obliterates old knowledge. We often do not even see the contradiction. This helps you to become critical in evaluating the sources of information. If this article tells you that Einstein was dyslectic , take into account the rules of memetics: It propagates by far more easily than the core meaning behind Einstein's theory of relativity.

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Ken Olson blundered by claiming no demand for personal computers, but his brain was able to quickly absorb the new reality esp. Olson's enlightenment might have been too late for DEC, but not to Olson's ability to creatively contribute to the computer industry. Long before Olson's blunder, the founders of Apple had already known the truth: The power of the storm was still a surprise to Steve Wozniak. So was the fact that the clunky PC was later to displace his cherished Apple line. The PC storm surprised even the man who made the most of it: The man whose predictive powers made him as valuable as the economies of whole countries.

Bill Gates's wealth attracts as much envy as it attracts admiration. This is why his own blunders were studied to the last detail. Bill Gates blundered dismally on more than one occasion. And again it does not detract from his true software business genius. Gates was clearly late with noticing the power of the Internet, yet his. NET initiative shows that he and his team were able to correct the strategy on the go.

NET credit goes to Microsoft employees who were able to contact their boss directly with their own ideas on strengths, weaknesses, opportunities, and threats. In the end, treating the company electronic communications as a nervous system returns credit back to Gates and his managerial skills. In , Gates is reported to have said: Bill Gates, as all true geniuses, keeps on learning. To err is human. As long as we do not stick to the old mold. There is no fool like an old fool.

Predictive lapses do not detract from human genius. Because they often comfort those who are less brisk intellectually, many are a myth only: For a taste of excellent knowledge-based predictive powers in action, see the highly educational and heart-warming " Long Boom " by a long-view guru: Even though the article is only four years old, we can see that the authors underestimated the destructive power of investor greed for the dot-com economy.

Creativity is usually defined as the ability to generate new ideas that are both highly innovative as well as highly useful. A new idea will not be called creative unless it is quite hard to come by. For example, if you decide to paint your car orange with little blue ants all over it, you won't fall into a highly creative field. After all, everyone can paint her car like this. That you do not see blue ants in the streets comes from the fact that a number of objects that could take ants' place is near to infinite.

An art expert passing a judgment on your car's artistry could perhaps change the verdict. On the other hand, if you keep on churning dozens of ideas which have little or no practical value, few will consider this a highly creative effort. Similarly, potentially valuable ideas that live and die in your brain without ever being converted into a practical application will not pass the test of the definition used herein.

In this article, we will adhere to the pragmatic criterion in judging creativity. We will skirt around artistic creativity, which falls out of my own professional focus, and is by far more relativistic: Here are some examples of creative breakthroughs that we will use in an effort to find a prescription for:.

In , Tim Berners-Lee wrote a little program called Enquire that helped him link pieces of information together. The program itself was inspired by an old computer game Adventure. Unlike later Hypercard, Enquire would run on a multi-user system and make it possible for people to share data. Using his experience and the inspiration from the hypertext concept coined in the s by Ted Nelson and derived from Vannevar Bush's Memex system early s , Tim Berners-Lee envisioned a system that could improve information exchange in large teams.

Are You an Author?

His main concern was to improve keeping track of large projects. His proposal was to build a system that would be distributed on remote machines, allow of heterogeneity, decentralized i. He proposed a team of two people to develop the project within a year. His proposal's reference section clearly points to the seminal influences of Ted Nelson and other authors. By November of , Tim started working on the prototype. By August , its existence was announced to a number of Internet newsgroups. By , the web edged out telnet to become the second most popular service on the Internet.

In the percentage of byte traffic, it was only behind FTP-data. Today, the web is the single most important tool of global transformation. Tim Berners-Lee creatively combined his experience, and existing ideas into a breakthrough concept that changed the world and we have barely seen the beginning. Building blocks of the world wide web are simple enough to be understood by a high school student. Yet their unique combination into a simple, extensible, and cohesive concept deservedly rewarded the genius of Tim Berners-Lee with the credit for the greatest human breakthrough since Gutenberg If you look at Gutenberg's, Steve Wozniak's or Tim Berners-Lee's breakthrough ideas, you may think: I could have invented it".

The greatest power of an invention is often in its simplicity. Yet creative molds often prevent dozens of inventors from hitting the right idea. The fact that great creative breakthroughs seem so simple in retrospect gave origin to the popular saying: The darkest place is under the candlestick. Creative mold is simply very hard to overcome even to the most insightful mind. Ted Nelson had spent years perfecting his genius Xanadu ideas.

Yet Tim Berners-Lee, in the course of two short years, combined a couple of simple concepts to turn the world upside down. The simplicity, and a near-obvious nature of their inventions make it hard for the inventors themselves to recognize the invention's potential early. Without Steve Jobs, Wozniak may have never gone to believe that his new computer design could be used beyond his hobbyist club, let alone by millions.

Great creative breakthroughs combine luck, coincidence, timing, and persistence. They are also helped greatly by a very specific kind of creative mind: As for luck and timing, Gutenberg's ideas would not work had they been originally transplanted to China see Gutenberg. Steve Wozniak without Steve Jobs might not work see: WWW striving for the perfection of Xanadu might not work. For your creative genius to change the world, you need to look for workable solutions that fit the present world. As Vannevar Bush noted, the genius of Charles Babbage, the inventor of the first mechanical computer, was born a century too early.

Not only was his mechanical computer hard to implement. Not only would it be uneconomical and unworkable had it been constructed. Not only would it be hard to educate his contemporaries about its usefulness. The most painful mismatch in timing was that the Babbage's work has largely been misunderstood, forgotten and had little impact on the design of the first electric computers a century later.

The timing was not right. Only for Babbage's th birthday has the machine along his design been proven workable by researchers at the Science Museum in London. One common feature of the greatest failed inventions is that their fathers gave them up upon hitting a better idea.

In such cases, obsessive compulsive creativity may be a hindrance. Babbage gave up his Differential Engine as soon as a vision of a far better Analytical Engine dawned upon him. In contrast, Seymour Cray, when designing his supercomputers would maximally simplify the architecture in order to be sure his designs see the market. Cleverly balancing implementation speed against perfection, Cray has outdistanced everyone in the supercomputing field until new creative breakthroughs set him back. Creativity and cold meticulousness are often at odds. They require a different type of mind.

A biologist will notice that they are based on a different neurohormonal brain profile! Tim Berners-Lee is an excellent example of a brilliantly creative mind, which is still able to focus on a task at hand, efficiently execute the plan of action, and make things happen. Steve Wozniak is universally credited with initiating the entry of computers into private homes. Although his contribution may be seen as a compilation of a few well-known ideas that have perfectly coincided with the technological readiness for a mass-produced computer, Steve Wozniak's ingenuity and relentless creativity made him uniquely suitable to pick up the credit for starting the PC revolution.

Wozniak's early inspirations came from his father Jerry who was a Lockheed engineer, and from a fictional wonder-boy: His father infected him with fascination for electronics and would often check over young Woz's creations. Tom Swift, on the other hand, was for Woz an epitome of creative freedom, scientific knowledge, and the ability to find solutions to problems. Tom Swift would also attractively illustrate the big awards that await the inventor. To this day, Wozniak returns to Tom Swift books and reads them to his own kids as a form inspiration.

Woz's values were shaped and strengthened over years by his family, Christian philosophy turning the other cheek , radio amateur ethics helping people in emergency , books Swift's utilitarian and humanitarian attitude and others. As a lasting Swift legacy, throughout his life, Wozniak loved all projects that required heavy thinking. He learned the basics of mathematics and electronics from his father. He would at times be so absorbed in his projects that his mother would have to shake him back to reality. When Woz was 11, he built his own amateur radio station, and got a ham-radio license.

At age 13, he was elected president of his high school electronics club, and won first prize at a science fair for a transistor-based calculator. Also at 13, Woz built his first computer that laid the engineering foundation of his later success. With all engineering skills at hand, it was not hard for the Wizard of Woz to envisage a simple computer of his dreams.

The keyboard would work like a typewriter. The messages would be displayed on a TV-like monitor. The computer could be assembled with relatively cheap circuitry. By , Woz would drop out of the University of California at Berkeley and would come up with a computer that could sweep the nation. However, he was largely working within a scope of the Homebrew Computer Club, a local group of electronics hobbyists.

His project had no wider ambition. As it often happens in history, Woz was just a single hemisphere of a genius brain. The other component was Steve Jobs whom Wozniak met when he was Jobs, 5-years Woz's junior, who himself had dropped out of Reed College in , was a perennial starry-eyed visionary who could see far beyond the possible. Jobs and Wozniak came to the conclusion that a completely assembled and inexpensive computer would be in demand.

Formula for Human Genius and Creativity

They sold some of their prized possessions e. Their first computer was quite unimpressive by today's standards but in it was an engineering breakthrough that would change the course of history picture. In simplicity of use it went years ahead of Altair which was introduced earlier in Altair had no display and no true storage. It received commands via a series of switches and a single program would require thousands of toggles without an error.

Altair output was presented in the form of flashing lights. Altair was great for true geeks, Bill Gates and Paul Allen were one of the first among them, but it was not really usable for a wider public. It would not even come assembled. Wozniak quit his job at HP and became the vice president in charge of research and development at Apple. Jobs and Wozniak made a killing by selling their first 25 computers to a local dealer. Wozniak could now focus full-time on fixing the shortcomings of Apple I and adding new functionality.

His genius was in full creative swing. Apple I earned his company close to a million dollars. His new design was to retain the most important characteristics: Woz introduced high-resolution graphics in Apple II. His computer could now display pictures instead of just letters: It was only two chips.

I didn't know if people would use it ''. By , he also designed an inexpensive floppy-disk drive. He and Randy Wigginton wrote a simple disk operating system. In addition to his hardware wizardry, Wozniak wrote most of software that ran Apple. He wrote a Basic interpreter, a Breakout game which was also a reason to add sound to Apple , the code needed to control the disk drive, and more.

This unique combination of new ideas resulted in a screaming market success. In , the Apple company went public and made Jobs and Wozniak instant millionaires. At the age of 27, Jobs was the youngest Fortune man in -- a rare case before the dot-com bubble era. Incidentally, in , when the company cut the price of Apple II, it helped to launch yet another meteoric software career; that of Mitch Kapor. Kapor scraped enough money to buy his own Apple. Inspired by VisiCalc and a meeting with its inventors, he went on to develop Lotus and swept the spreadsheet market place for years to follow.

In February of , Wozniak nearly lost his genius in an accident that could have easily claimed his life at age While taking off from Scotts Valley airport, an engine failed in his Beechcraft Bonanza airplane and it crashed. In addition to facial injuries, Woz experienced a retrograde amnesia. This means that he could not recall things from before the accident. He had also problem with forming new memories.

At worst, years of training could have been permanently erased from his memory. Those memories laid the foundation of his genius thinking. Luckily, five weeks after the accident, his memory powers returned. The genius was ready for more breakthroughs but his passions shifted from technology to people. Woz became less enthusiastic about his work for Apple. He got married and returned to the university under the name "Rocky Clark" to get his degrees in in computer science as well as in electrical engineering.

In , he decided to return to mainstream Apple development. However, he wanted to be no more than just an engineer and a motivational factor for Apple workforce. Here he demonstrated a typical characteristic of a creative mind: Woz stunned the world by leaving Apple for good in nine years after setting up the company.

Jobs was also forced to leave Apple as a result of a power struggle. Wozniak and Jobs are proud to have originated an anti-corporate ethic among big players of computer market. Jobs focused on not always practical innovation with his NeXT vision, while Woz went on to fulfill his other passions: Today, Steve Wozniak's passion is to help young talent catch on the train of opportunity.

He provides kids with computers, Internet accounts, and lessons in programming. I always thought that a major player in the personal computer business, with its label on the products, would be composed of top engineers and multiple labs full of scientists developing new devices out of physics and chemistry ".

Geniuses dislike corporate structures because corporations tend to bend creativity to commercial purposes. Creative minds tend to be in minority. At the same time they are convinced that their visions are the only valid ones. This inevitably leads to tension and disruptions at work. However, only leading high-tech companies can afford such solutions. Luckily, the new economy based on the Internet has provided grounds for breeding countless young geniuses sprouting here and there. Many creative minds are now operating via their small websites that provide a planetary access to the product of their intellectual effort.

Two young users of SuperMemo have recently set up a website in their living room. In addition to opening ways towards individual creativity, the Internet helps corporations hire geniuses without restraining their creativity. A creative mind operating from a small country over a shoddy Internet connection can be hired on conditions that provide a unique coincidence of needs.

The genius gets a creative job that is not available in his area or country at a competitive pay. The corporation gets the most precious commodity their money can buy: All creative individuals experience periods of time when new ideas come into their mind in droves and there is hardly enough time to write them all down. A creative individual can hardly hope to implement a fraction of his or her ideas. Some people are born with highly creative minds. They are privileged from the onset, but they are also more likely to suffer from side-effects of neurohormonal aspects of creativity such as inattention, anxiety, depression, etc.

For those who are born with less poetic minds, the understanding of the creative process can be of great help. Ordinary brains can be made to work in a highly creative mode. Let us list the conditions needed for the brain to churn out ideas en masse:. Of the above factors, genetic endowment may greatly help in achieving the suitable state of mind, which also entails motivation and curiosity.

However, the neurohormonal advantage given by the lucky genotype can be made up for with relatively simple tools and techniques such as: A creative mind can be compared to an expert system that must go beyond its current field of expertise and generate new facts and rules. The goal is often reasonably defined but the path towards the goal is unclear. At other times, even the goal is not well-defined. It is simply supposed to crop up suddenly as a creative enlightenment in an effort hazily targeted at innovation.

Let us introduce the concept of a creative computer system as a metaphor for the creative mind. Using the computer metaphor we can redefine the previously listed preconditions of creativity in the following manner:. In short, our creative system can be improved by adding speed esp.

In simple terms the above means stimulating creative powers, using creative techniques, avoiding interruption and the pursuit of lifelong learning. Our brain metaphor presented earlier does not suffice to efficiently explain the mind in the creative mode. It is the creative mind where the parallel processing of neural networks comes to play in a most prominent way. Your PC can run many processes in parallel e. None of these, however, comes close to what is happening in your brain right now.