Today’s generations will leave aside their material, and even spiritual, expectations by sacrificing their own whims and desires, choosing to live for others rather than themselves.

From day one, the human experience has been that of continual change and transformation. While these processes of change and transformation—which can also be referred to as metamorphosis and development—have had their nuances depending on specific existing conditions, they have always recurred uninterruptedly and in essentially similar fashion. They continue still today, if with certain differences in detail and effect, and can be expected to continue without interruption from this point forward.

Hence, the future will come with many promises, exigencies, and rules unique to its times and will exert pressure on us over certain issues and steer us into particular affairs. Before these many pressures reduce us to the bewilderment of unexpected events that are impossible to resist, before they cause us to stumble or fall in a daze, we must know who we are and be positioned as ourselves, so that we are not crushed between the teeth of time and the ruthless cogwheels of events; so that we can walk into the future with our hearts filled with belief, our eyes gleaming with hope, and without being hindered or distracted along the way. These are essential if we are not to be overcome by waves of greater change and transformation that would cause us to forget the adverse change of today, which we may be trying to resist for the sake of our future existence, and in order for us not to be blown hither and thither like debris. In actual fact, those waves—with all their horror and destruction—have already started to advance upon the world.

It is difficult to be optimistic regarding the future of a world built upon the foundations of moral egoism, economic individualism, social racism, and general self-aggrandizement; in such a world, power and the powerful are the aggressors, people are egotistical, and matter is venerated. Material goods like gold and oil are worshipped as deceptive golden calves. Those at the helm of this cursed system are each a Samiri,^[1] and the affluent in this order are each a Korah.^[2] In truth, it is exceedingly difficult, perhaps even impossible, for those crushed beneath the cogwheel of this system to find a path towards the future.

What we, as humanity, have seen and understood with respect to our recent past and are now able to observe more clearly is that this world, which has forgotten God and glorifies matter, might, lust, race, and selfishness, is spiraling towards annihilation. If the inheritors of the earth, our sole consolation for the future, do not pave the way for humanity to reinterpret itself anew by putting forth a new code of morality, a new understanding of economics, a new philosophy of labor, a new love of modesty, and a new spirit of responsibility based on reverence, awe, and love, we will experience new catastrophes, ones so bad they will overshadow the destruction of the world wars.

Some, with the impression that we would not have enough capacity to realize such a project, may consider any plan a wild fancy or hope, and every venture to be in vain. However, a consideration of those supportive things actually accomplished would reveal that they are not at all behind those that were planned in the first place; if we could look back more clearly on the recent past, with respect to the last half century, it would quickly become apparent just how steep are the peaks we have climbed as a society. However, some pessimistic souls, perpetually giving in to despair and hesitation, and, unable to attain steadfastness and resolve in their thoughts, will never be able to see and accept this. They cannot free themselves from the stupor of the past few centuries.

Today, our society is experiencing a collective mobilization, so to speak, within almost all its segments. Greater numbers of people are drenched in sweat and working assiduously to reach the goals set as an ideal on the path of settling their accounts with the world. They turn to eternal pleasures in lieu of the temporary pleasures and comforts they regard to be trifling, as per their ideals. Leaving comfort, they seek struggle in the way of being able to continue surviving as a society, eschewing pleasure and walking constantly and unswervingly according to eternal values, cautiously, with much effort and suffering.

Many times throughout history we have struggled for survival, and have always sought to maintain balance among nations. During that struggle, eras have come to a close, while new ones have begun and have led the way in a great many world-wide transformations and advancements. We are thus aware of the implications of such values as exertion, endeavor, and circumspection, which are considered the mysterious keys of the change and transformation to come, and which we have continually observed in our vast spiritual heritage. We are of the belief that today’s generations, as with those of the past, will leave aside their material, and even spiritual, expectations by sacrificing their own whims and desires, choosing to live for others rather than themselves.

After all, were not the developments the world experienced in given periods, such as the Renaissance, the Industrial Revolution, and more recent technological advancements, always born of this fiery will and profound faithfulness? Only those indolent and slovenly souls enslaved to their carnality would shun the opportunity to act selflessly in the name of their sacred cause. What do hardship, difficulty, and death matter for those refined spirits whose hearts pursue lofty ideals, and who have embraced the meaning of their purpose?

Regarding our recent past, a fever of revival has begun to be experienced anew in our society. This is, moreover, a fever of revival which promises certain constructive changes for the world as a whole. It is not pursued out of some desire to establish dominance over the entire realm; rather, it is a promise to contribute to the larger world from our own cultural richness and understanding of civilization; it is an opening up to a world which is experiencing a process of renewal. Through such an engagement, the future will become, for our part, much more placid and familiar. On the contrary, a realm of which we are not a part, and to whose molding we do not contribute, will always make its strangeness felt to us and, like a cruel stepmother, will put forth the measure of its distance even when taking us into its embrace, perhaps even not failing to pinch us at the same instant it shows affection.

[1] According to the narration in the Qur’an (20:95), Samiri tried to lead believers to idolatry by crafting a golden calf when Prophet Moses was away on Mount Sinai.

[2] Mentioned as Qarun in the Qur’an, Korah was an immensely wealthy man who, instead of being grateful to God, gave credit all to his own knowledge, and eventually revolted against Prophet Moses.

Shadowing effect: the game of who is taller

When sunlight falls on Earth, some shadowy areas do not receive it due to an elevated structure nearby. This causes the shadowy areas to have a different set of plants, which are usually shorter and smaller than the plants in the sunny areas. In brief, the shadowing effect is the input (here sunlight) reception behavior caused by height differences across a surface. The game here is that the taller ones grab more input than the shorter ones. In systems where the input is some kind of material falling on the surface, the most important outcome of the shadowing effect is slowly-rising columnar structures. The ultimate surface morphology depends heavily on the strength of the shadowing effect. Hills of snow following a heavy snow fall and forests with trees of various heights are examples of the shadowing effect.

Reemission effect: the game of reflections

When things bounce, they follow certain physical rules. When you throw something, it may stick or bounce depending on several factors. For instance, when the light falls onto a surface, some of it penetrates the surface and gets absorbed while the rest gets reflected. Reemission is another name for bouncing or reflection in physics, though the idea is not just equivalent angle reflection or equivalent reaction force bouncing.

Figure 1 illustrates the shadowing and reemission effects on a sample surface with hills. Falling particles will most often hit the hills first due to the shadowing effect. If the hill cannot grab the particle on the first hit, then the particle reemits, and it becomes possible for the particle to fall into a valley. In order for a particle to settle in a valley (e.g., particle B in Figure 1), it will have to go through a sequence of reemissions. Let’s say that a particle’s reemission probability (i.e., residual of the sticking coefficient) is p during a hit onto the surface. By simple math, if k reemissions are needed in order for a particle to settle in a valley point, then the probability of this valley point grabbing a particle is while it is for a hilltop under no shadow. In this very approximate model, k will be larger for a deeper valley point, thereby further reducing the grab probability. To get a quick sense of it, for p=0.5, the grab probability is 50% for a hilltop and 25%, 12.5%, and 6.25% for valley points with k=1, 2, and 3 respectively. Similarly, the parameter p represents the importance the of reemission effect in the growth of the surface. Higher p means more reemissions and a larger grab probability for valley points. That is, for p=0.9 (which means the material reemits 90% of the time), the grab probability is 10% for a hilltop; and 9%, 8.1%, and 7.3% for k=1, 2, and 3 respectively.

Intuitively, when the shadowing effect is dominant, the hills will grow larger and maybe merge with each other while sites at the valleys will remain short. The final surface will not be smooth but rough. Figure 2 shows this phenomenon on the macro scale for Tibetan forest growth under the shadowing effect, and Figure 3 shows it on the nano scale (1 nanometer corresponds to 1 billionth of a meter or about hundred thousand times smaller than the diameter of a human hair) for growth of nanostructures like nanorods (i.e., sticks at nanometer lengths). When the reemission effect is dominant, one can expect that the hills will get eliminated as the valleys will quickly grab the reemitted particles. In this case, the final surface will be smooth with evenly distributed growth.

Scientists have been using these effects to control the growth of the surface, especially recently for nanostructure growth. By changing the material characteristics (which affects the reemission probability) or the angle at which the atoms arrive at the surface (which affects shadowing), the scientist can control the dominance of the shadowing or reemission effects [3]. The final outcome of the nanostructures depends on other factors as well, such as (i) temperature of the substrate surface, (ii) energy of the particles, (iii) movement of the underlying substrate, and (iv) the initial pattern of the substrate as in Figure 3(b). By using a combination of these techniques, designers have been able to grow interesting structures such as nanosprings as shown in Fig. 3(b), or nanoballs as in Fig. 3(c). These nanostructures attracted the interest of researchers for various applications such as biosensors [4], engineering of light propagation [5], and microchip production [6].

A social perspective

It is not hard to see the role of shadowing and reemission effects on people and social growth as well. One typical tendency is that well-connected and well-known people or institutions are more likely to grab attention of newcomers to a society or a network. This phenomenon has been regularly observed in the growth of online social networks (e.g., Facebook) [3]. Similarly, wealthier people are more likely to receive a larger share of the aggregate social revenue, which yields a highly skewed wealth distribution. These social trends exist for valuable goods (i.e., “attention” in the former example and “money” in the latter) which have a high “sticking coefficient” and less reemission probability. A well-known phrase to describe this is “the rich get richer,” which Figure 3(a) clearly reveals, showing nanorod growth with a highly sticky material, silicon.

“Equal sharing” in societies is certainly achievable through a more dominant reemission effect. An analogy between reemissions and charity (or helping others) is plausible. Again, the social tendency has been to equally share (or reemit) items that are mostly commodity. Water, electricity, education, and health are examples of such commodities that people “reemit” in many societies, though even the water is not reemitted in some societies.

Conclusions

The interesting observation we would like the reader to recognize here is that shadowing and reemission effects take place at nano as well as at macro levels, and both play important roles in shaping formations or structures. Though these effects are mainly studied in physical structures, they certainly exist in unphysical structures such as societies. Sharing both physical wealth and knowledge is strongly advised for a strong community that lives in harmony. This is similar to the reemission effect during the growth of materials on the nano scale, in which reemission leads to smoother and denser films with structural integrity. On the other hand, when reemission is poor and the shadowing effect is dominant, it leads to isolated structures that look nicer but are structurally fragile (See Figure 3).

Dr. M. Yuksel is an Assistant Professor at the Computer Science and Engineering Department of the University of Nevada, Reno. Dr. T. Karabacak is an Assistant Professor at the Applied Science Department of the University of Arkansas at Litte Rock. Dr. H. Guclu is an Assistant Professor at the Biostatistics Department of the University of Pittsburgh.

References

1. T. Karabacak, H. Guclu, and M. Yuksel, “Network Behavior in Thin Film Growth Dynamics,” Physical Review B, 79(19), May 2009.
2. D. Winkler, “Patterns of forest distribution and the impact of fire and pastoralism in the forest region of Tibet,” In: G. Miehe and Y. L. Zhang, Editors, Environmental Changes in High Asia. Selbstverlag der Marburger Geographischen Gesellschaft, Marburg 135, pp. 201–227, 2000.
3. T. Karabacak, G.-C. Wang, and T.-M. Lu, “Physical self-assembly and the nucleation of 3D nanostructures by oblique angle deposition,” J. Vac. Sci. Technol. A 22, pp. 1778, 2004.
4. J.-X. Fu, A. Collins, and Y.-P. Zhao, “The optical properties and biosensor application of ultra thin Silver films prepared by oblique angle deposition,” J. Phys. Chem. C 112, pp. 16784–1679, 2008.
5. D.-X. Ye, Z.-P. Yang, A.S.P. Cang, J.Bur, S.Y. Lin, T.-M. Lu, R.Z. Wang, S. John, “Experimental realization of a well-controlled 3D silicon spiral photonic crystal,” J. Phys. D: Appl. Phys., 40, pp. 1, 2007.
6. P.-I. Wang, S. H. Lee, T. C. Parker, M. D. Frey, T. Karabacak, J.-Q. Lu, and T.-M. Lu, “Low temperature wafer bonding by copper nanorod array,”, Electrochem. and Solid State Lett., 12, pp. H138-H141, 2009.
7. R. Kumar, J. Novak, and A. Tomkins, “Structure and evolution of online social networks,” Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 611-617, Philadelphia, PA, August 2006.

The brain is probably the most complex organized biological structure in existence. We think, learn, compute, memorize, feel, show emotion, and love. The brain is the center of all these activities, and of many other mental and physical functions as well. Each human being has a unique personality, and each individual behaves in a certain way. Our behavior reflects how our brain thinks.

Throughout one’s life, a person’s brain constantly learns. Each input, such as events that affect us, leaves its traces in the brain. We recollect these events later. But how do we learn? How do we remember things? What is the physical dimension of learning, feeling, and remembering? What is the physical significance of brain dynamics? Some of these questions are probably the most difficult questions for neuroscientists and other interdisciplinary brain researchers to answer.

Studies of the brain are as old as the practice of medicine. Although advancements in medicine, with the help of engineering and computer technologies, have been significant in recent years, brain research progresses much slower. Brain research has been a focus of such interdisciplinary sciences as neuroscience, biomedical engineering, electrical engineering, medicine, artificial intelligence, and psychology. However, an exact and detailed understanding of the brain’s dynamics and associating its neuronal activities with certain physical phenomenon remains largely beyond our grasp. The fact that the human brain cannot be used for experimental purposes is another factor in brain research.

THE BRAIN’S STRUCTURE

The brain is considered the human body’s central commanding unit. Along with the spinal cord, it forms the human being’s central nervous system. It poses a modular structure, each module of which is known to be responsible for certain functions, and possesses its own respective complexity. Readers wanting to know more about the brain’s structures should check the literature produced by specialists in the field of neuroanatomy.

Figure 1 illustrates the brain’s structure. The cerebral cortex, essentially a biological sheet of tissue covering the brain, is about 0.08 inches (2 mm) to 0.24 inches (6 mm) thick, and gives a geometrical representation of the brain’s shape. The brain’s stem (not shown) is the area between the thalamus and the spinal cord. It is the center of the most of the brain’s basic functions, such as breathing and the heart rate. The area behind the brain stem is the cerebellum. Located at the brain’s base is the hypothalamus, which, among other things, controls the body’s temperature. It reacts to hot and cold temperatures by sending out signals to adjust the body’s temperature. The thalamus serves as a sink for sensory information, and communicates the received information to the cerebral cortex. Although not proven in human beings, the thalamus serves as the center of sleep spindles, sinusoidal signals emitted by animals while they sleep.

NEURONS

Neurons, the brain’s building blocks, are the only cells that do not renew themselves (all other cells die and are replaced). Each human being is born with approximately 100 billion neurons in his or her brain. Thus, a certain neuron in the brain of a newborn human being is the same neuron when he or she is old. A normal brain loses 3 to 5 neurons each second. Stress, drug and alcohol consumption, and aging may cause more neurons to be lost. For an ordinary human being, however, the total number of neurons lost during an average lifetime is very negligible.

Neurons are probably the most complex and intelligent communication networking ever created. The brain contains billions of cells, each one of which is connected to another. All of them share and transmit and, more importantly, process the information. This feature introduces the intelligence of neurons, the nature of which is not yet completely known to scientists, who remain fascinated by the engineering behind this intelligent networking.

To better understand neurons’ functionality, imagine yourself cruising in your convertible on a two-lane road. As you start to pass the car in front of you, you suddenly notice a car coming toward you. You have no more than 2 or 3 seconds to evaluate the options and respond accordingly: you either accelerate and complete the pass, or slow down and get behind the car you were passing. In either case, you have to consider the speed of the oncoming car, its distance, and some other safety parameters. You eventually evaluate your options and reach the safest decision in less than 2 seconds.

What is the big deal? This is just another ordinary event that we are used to experiencing every day. Behind this seemingly ordinary event, however, a tremendous amount of communication and computation is taking place among the neurons. Stimuli invoked by visual information (the oncoming car) observed by the eyes make their way through the central nervous system to the brain. Neurons receive the stimuli, evaluate them, and pass their response to nearby neurons by electrochemical polarization. Billions of neurons are involved in the process.

This information flow among neurons depends on learning (one’s driving experience). The response, the final decision of neuronal computation combined with learning and consciousness, is delivered to central nervous system so that it can act. The nature of consciousness and how it is linked to neuronal computation remain unknown.

These processes are so automated that we do not consciously realize that each physical, mental, and emotional function is governed by our brain, which, in turn, is governed by its tiny component neurons. These neurons enable us to make such judgments every day, and to communicate with the surrounding environment through sound, sight, touch, smell, taste, emotion, feeling, thinking, and so on.

THE HUMAN BRAIN AND COMPUTERS

The human brain and computers are two different things. One is a living, thinking, learning, feeling, crying, and loving organism. Happiness and sadness, in the form of marginal emotions, are reactions of the brain. Such terminology makes no sense to computers. In that sense, it might be misleading to compare the human brain and computers. However, there are some common functionalities that make such a comparison logical.

Both the human brain and computers have memory. Memory in human brains is defined as “stronger synaptic connections,” whereas computer memories are formed by semiconductor chips. Both can adapt and learn. The human brain can learn easier and faster than a computer, which can only “learn” certain tasks by being programmed with special algorithms. The nature of such “learning” is very limited.

On the other hand, computers can perform many complex tasks much faster than human brains. For example, try multiplying two numbers, dividing the result by 7, and then subtracting 9 from that result. The computational speed of a human brain is much slower than that of a computer.

Due to their high speed, computers perform parallel jobs relatively faster. The human brain also can perform parallel tasks at the same time. For example, it controls the heart rate and blood pressure while performing computational tasks. In addition, the human brain is better at interfacing with the outside world and coming up with new ideas; computers only do what they are instructed to do, regardless of the task’s simplicity or complexity. The human brain distinguishes itself from computers by its extraordinary capability in the areas of imagination and innovation.

Another common functionality is that both transmit information. Computers use semiconductor switches that are either on or off. Everything inside of a computer is represented by either a one (1) or a zero (0). Although neurons in the human brain are either on or off, meaning that they are or are not firing an action potential at a particular point in time, an accumulated charge that activates neurons gives the human brain more flexibility. Neurons are more than just on or off, for their excitability is always changing as they constantly receive information from other cells through synaptic contacts. As stated earlier, this information is carried through electrochemical polarization. Although this electrochemical process does not always result in an action potential, it may alter the chance that an action potential will be produced by raising or lowering the neuron’s threshold.

Another important distinction between computers and the human brain is that the human brain never rests, while computers do after they have been turned off. Even during sleep, the human brain continues to work dynamically. Indeed, it produces distinct signals, called sleep spindles, that may be observed externally while the person is asleep. While an individual’s body rests during sleep, his or her brain recollectively refreshes itself.

UNDERSTANDING THE BRAIN’S DYNAMICS

All activity inside the human brain is conducted through electrochemical polarization, a process that can be observed by placing electrodes on an individual’s scalp. The brain’s dynamics can be observed in the form of an electroencephalograph (EEG) or a magnetoencephalograph (MEG). An EEG, which is relatively less sophisticated than a MEG, maps the brain’s dynamics into electrically recorded brain waves. Multiple electrodes are systematically placed on the scalp, and potential differences are measured with respect to a reference point. In the case of a multichannel EEG, the number of electrodes may be as high as 64 or even 128. Figure 2 shows a single-channel recorded EEG. Potential differences measured through electrodes are sampled and stored in a computer for analysis.

The challenge presented to researchers is how to read multichannel EEGs and extract the information that really reflects neuronal activity. If the patient is epileptic, brain abnormalities may be easily distinguished in a multichannel EEG. From the location of electrodes, it may be possible to identify the general part of the brain giving rise to epileptic EEGs. In clinics, neurosurgeons usually open the patient’s scalp and measure the EEG directly by placing electrode grids over the cortical tissue. Even then, it is a real challenge to identify the defective region and proceed accordingly.

The EEGs of epileptic patients distinguish themselves from other brain activities by their relatively high amplitude. But what about other physical and mental tasks? Can we detect and identify those EEGs that reflect a certain mental task? Scientists from many disciplines are focusing on such questions. Many researchers are combining EEGs, MEGs, magnetic resonance imaging (MRI), and such engineering tools and algorithms as digital signal processing and spectral analysis to identify and understand the brain’s dynamics. The clinical need for such solutions are in high demand.

THE HUMAN BRAIN AND INTERDISCIPLINARY SCIENCE

The human brain has been a research focus of scientists from many disciplines. Scientists in medicine, neuroscience, engineering (electrical engineering and biomedical engineering), mathematics, physics, physiology, and computer science have been conducting either sole or interdisciplinary research for many years. The brain has so many dimensions that no single discipline can cover all of its aspects. Some of these disciplines are described below:

• Artificial intelligence attempts to build knowledge representation on the hypothesis that intelligent systems act intelligently. Hence, if the human brain’s intelligence were represented in a finite domain, this domain could be used by computers to mimic human intelligence. This approach faces a major challenge: human intelligence cannot be represented to the degree that artificial intelligence requires to mimic human intelligence.

• Computational intelligence, on the other hand, approaches the problem from the perspective of such engineering tools and algorithms as neural networks, fuzzy logic, and genetic algorithms. Neural networks and genetic algorithms can learn an underlying task to some degree, whereas fuzzy logic relaxes information representation by providing one more degree of freedom to the binary representation of information: a membership function concept. In this concept, the information has a probability of being a member of a certain class. The human brain’s electrochemical process may not always result in an action potential for a certain neuron(s). The binary concept cannot represent this phenomenon, whereas fuzzy logic may be helpful in modeling the chance of a neuron to produce action potential.

• Engineering provides technical tools and algorithms for conducting research on the human brain. Electrical engineering provides signal processing tools and algorithms for filtering and imaging, and other tools to process EEGs. Many scientists use these tools and algorithms to understand and localize EEGs. It would be very effective to localize human brain abnormalities with the help of engineering tools and algorithms.

Each science and method mentioned above has its own limitations. Combined interdisciplinary research provides more promising results for understanding the brain’s dynamics. Many other methods not mentioned in this article also are being used to study the human brain.

SOME FACTS

An average adult human brain weighs about 3 pounds (1.36 kilograms). A stegosaurus weighed about 3,528 pounds (1,600 kilograms) but had a brain that weighed only about 0.15 pounds (70 grams), or just 0.004 percent of its total body weight. In contrast, an adult human being weighs about 154 pounds (70 kilograms) and has a brain that weighs about 3.1 pounds (1.4 kilograms), or about 2 percent of his or her total body weight. That makes a human being’s brain-to-body ratio 500 times greater than that of the stegosaurus.

DISCUSSION

This is only a very brief description of the human brain and its functionality. As scientists and researchers learn more about the human brain, they realize that what they know is very small when compared with how much they still do not know. All scientific efforts undertaken thus far have opened only a small window on a large universe: our own galaxy, located inside our brain, with the neurons as its stars. Let each neuron be a moon. How much do we know about the moon compared with the universe in which it resides? The answer is the same for the following question: How much we know about the human brain’s neurons and the universe in which they reside?

REFERENCES

• Chudler, E. H., S. Pretel, and D. R. Kenshalo, Jr. “Distribution of GAD-like immunoreactive neurons in the first (SI) and second (SII) somatosensory cortex of the monkey.” Brain Research (1988) 456:57-63.
• Nunez, P. L. “Neurocortical Dynamics and Human EEG Rhythms.” New York: Oxford University Press, 1995.
• Figures 1 and 2 are courtesy of Eric H. Chudler, Research Associate Professor, University of Washington.