Future Synergies of Neuromorphic Power of Human Brain for Brain Computing arena

Future Synergies of Neuromorphic Power of Human Brain for Brain Computing arena

The human brain has many scientific capacities, including the ability to process information, store memories, control movement, regulate bodily functions, and generate thoughts and emotions.

The brain is made up of billions of neurons, which communicate with each other through electrical and chemical signals. These neurons work together to form networks that are responsible for different functions, such as vision, language, and decision-making.

One of the key scientific capacities of the brain is its ability to learn and adapt. Through a process called neuroplasticity, the brain can reorganize its neural networks in response to new experiences and learning.

The brain is also capable of generating and processing complex emotions, such as love, fear, and joy. It can also produce thoughts and ideas, and is responsible for creativity, problem-solving, and decision-making.

In addition to these cognitive and emotional capacities, the brain also regulates many bodily functions, such as breathing, heart rate, and digestion. It receives input from the senses and processes this information to create our perception of the world around us.

Overall, the human brain is a remarkable organ with incredible scientific capacities that allow us to interact with our environment, think, feel, and experience the world in a unique way.

Mind is not only of the body, it is the most complicated organ in the world. Do you know the power of your mind? I am saying bit by bit, no, what your brain can do, you cannot even think about it, there are some amazing facts about the brain, which your brain's energy can even light a light bulb, and all that. But if I tell you all these faxes, what would you say? Knowing all these taxes, there are some such things about this small organ that you should know and if you want to progress in your life and want to be successful, then you must know about these unheard factors.

If you are thinking that how can we become successful by understanding our mind, then it is a completely valid question because we are not taught about all these things from school to colleges, but watch this video till the end and you will understand everything. In order to understand the power of our mind, we have to do some comparison, if we compare the mind with the most powerful thing in the world, that is, the computer. So we come to know that computers are nothing in front of our brain, you must know that there are many types of computers, basically talk about normal computers and super computers, leave normal computers, our brain is faster than any super computer. And it is faster than mobile processors and many things. In many artificial intelligence tests, it has been found that our brain is thirty times faster than the world's fastest supercomputer. Your brain is faster and your brain is nothing less than a miracle. A computer can store thousands of songs, pictures and movies in an average, but in today's world, all this comes in just a finger sized device. This brain of yours on it works at the speed of about ten quadrillion i.e. almost that much operation per second and the processors of supercomputers are not even close to it. As I told you in the previous video, our brain is divided into two parts. I am conscious and all conscious mind.

 In the previous mind video, I told you about the powers of the sub conscious mind, your subconscious mind is very powerful, you know that I told you about the ways to reach the subconscious mind in this video. I had said that if you reach something to the subconscious mind, then no one can stop it from becoming a reality, that is, what you can think, you can actually do, that is, if you become a rich and successful man yourself. If you can think, then definitely this is possible in real life too. Now you must be thinking that if it were so, everyone in this world would be Ambani and Bill Gates, but friends, know that those who are successful today, are directly and indirectly their Know how to control the subconscious mind and most of the people of the world do not know about it, I know that I have to tell you guys in a logical way that how it actually works?

 So listen bro when something goes into your subconscious mind then it changes the vibration of your body. What is body? Basically if we look more deeply and go deep then finally we come to know that your body is nothing but a vibration of electron, proton and neutron you can say that your body is an energy in a particular vibration you have You must have heard this word, feel, this field, it is related to vibration, suppose you asked a person how are you? So he will say that I am fine or I am good and I am great; no one will say that today my brother's ratio is low or today my vibration is high, but this is exactly what you are living for in this world? Its answer is absolutely simple for happiness and what is happiness? Why more marks in the vibration exam?

Why money for happiness? For happiness, it is a higher vibration al state, which means when you are happy, your body vibrates at a high speed and when you are sad, your body vibrates at a low speed, so you always Want to be happy means you always do high vibration coaches, but it is very difficult to be happy in this stress filled life. is right wrong difficult for those who don't know anything about subconscious mind it is simple to be happy you just have to give instruction to your subconscious mind so that your sub conscious mind put your body in a high irrational state your subconscious mind is wide open You can fill literally anything in it, I told you the method of formation to feed something in this mind, in the previous video of Sub Conscious Mind, if you haven't seen it, I have given the link in the description, all try Mind Another way to influence is meditation and relaxation. I told about that also in a video about how to do meditation, after the end of this video you can watch that video too but how to contact with subconscious mind?

I am telling you about that now, for this you have to close your eyes, after closing your eyes, you try to empty your mind, that means control your thoughts, after that what you want thinking and focusing on it To give means at that time nothing else should be in your mind except the thing you want and you stay in this state for at least two to three minutes and open your eyes. How does this work? Listen, let's say you want a car, ok, if we look at that car in depth, it is also made of electrons, protons and neutrons, so that too is a particular vibration and your body also has a vibration when you think about that thing. If yes then your body's vibration tries to match the vibration of that car and the whole universe gets involved in the same work and if you do this daily then after some time you will find yourself in the same car means whatever you think you are. You attract in your life only those negative things like stress, anger and tension that come in lower vibrations and you will notice that after meditation you will feel very stress free and light because when your mind

When you calm down then you go to a higher vibration thus fulfilling your desires as well as meditation brings you to a good state This whole world is a game of vibration, everything is just vibration, we always hear that we should do good work, some people must be thinking that what will be the benefit of doing good work? There will be no benefit from this, it will just bring you to a high vibrational state, you should notice that sometimes we feel happy without any reason, that happiness is not related to anything in the world, that skill is happiness. We always think that we should think positive, but if you do a deep analysis, then you will say that what is the use of thinking positive, then the answer is the same, the vibration of positive things is very high and If you are stuck in a negative condition then you should bring your body and mind in a high irrational state by positive thinking and when you come in high vibration state then a different type of energy comes inside you and in this way By changing your vibrations with the help of the powers of your subconscious mind, you can achieve anything in the world, my friend, I consider you my family member.

The program is named "Decoding the Brain" as it aims to explore ways in which scientists are contributing to a deeper understanding of our brains. Many experts in this field will be speaking, and they'll share how their work is unveiling the complexities of the brain and how electrical processes impact our experiences, emotions, and behavior. Brain Science Chang acknowledges that the human brain is difficult to compare to a computer since it doesn't look anything like it. However, the analogy of information processing is helpful to frame some questions. Depression is like a black hole, an attractor state. This complicates trying to organize and quantify it like a computer would. Instead, thinking at different scales is vital to understanding the complexities of the brain and its processes.

Neuromorphic computing aims to replicate the thinking and processing of human brain in computers. The concept of computing has evolved since its inception, but now the focus is on creating chips that function like the brain, using only 20 watts of power, which is much less than a typical light bulb. Neuromorphic chips are capable of solving problems that involve real-world data, such as speech, video, and robotics where objects are moved and decision-making needs to happen. The chips are especially useful when there is a need for unexpected adaptation like the situation when we need to assemble robots in our smart factories. By implementing neuromorphic intelligence in our robotic deployments, we can make our robots smarter and more efficient.

Scientists has been studying the neural circuitry of speech, specifically focusing on understanding the neural code for our ability to articulate words and speak. Over the past decade, he has worked with patients at the University of California, San Francisco who have volunteered as part of their medical treatment. Through this work, the production of words has become much clearer and is consistent across distinct patients. We now have a map of the different articulators of the vocal tract and the target sounds we aim to produce. We are getting closer to translating brain activity into actual words and sentences that can be heard by using speech synthesis and machine algorithms to decode neural signals into sounds.

The concept behind improving memory is complex, but it involves the ability to decode and forecast the brain's varying system to identify moments of memory lapse. It is then possible to guide the brain from a worse state to a state in which memory is improved. Scientist conducting research to understand attention and the "spotlight of attention" metaphor. The brain's primary purpose is believed to be the planning of our next action, and while it is not a computer, it is a helpful metaphor for understanding its inner workings.

You might have heard the brain being compared to a computer but how accurate is this.At first glance, they appear to have many similarities.The graphics card could be seen to be similar to the visual cortex where visual information is processed by the brain.We might see the sensory cortex as a mouse or keyboard which collects input information from the outside world.And the motor cortex, which coordinates our movements, might possibly be seen as similar to a monitor or speakers.So how do we account for this dramatic difference in what humans and computers can do?It turns out that brains and computers are actually quite different in terms of how they function.Computers work by collecting and storing information in units, much like you would store books on a bookshelf.Brains store memories in a very different way.

Rather than each memory being held in a single storage container, they are represented by a network of neural activations across the brain.The more times the memory is activated, the more times a memory is activated.A banana might activate 'yellow', for example, might activate a certain smell and a certain taste sensation.The most times a banana is activated, the more time it is activated.The number is shown here, the brain is one organ and functions are not neatly divided into regions.The hippocampus is not the only part of the brain responsible for memory and most other regions do several different jobs.With billions of neurons and endless combinations of activation possible, the storage possibilities are enormous.

The computer hasn't seen the number 53 written in this particular way before so it can't fit it into one of its neat boxes.Oscar on the other hand was not relying on a single representation so when he saw the numbers it activated memories in all different contexts.The more specific patterns of activation become, the stronger the memory.This is not something that computers have been very good at...well up until now.Because the human brain is so successful, computer scientists have tried to copy the way it works.Artificial neural networks have been used to improve the performance of computers in areas such as image recognition.Artificial neural networks have been used to improve the performance of image recognition, captchas exploit to stop computers now.By copying the way the brain works, fooling computers might not be so easy in the future.In the near future, by copying the brain work fooling.

The focus of this discussion is on artificial neural networks and their structure. While our brains are complex general systems that can perform a variety of tasks, deep learning systems are designed to excel at specific tasks. Understanding the principles of any system makes it easier to comprehend its higher level applications and capabilities. To digitally reconstruct the brain, we must first digitally reconstruct neurons. A neuron is made up of three primary components: the soma (cell body), the axon (long tail that transmits information to and from the cell body), and the dendrites (branching arms that connect to other neurons).

We can consider the basic structure of a deep learning neural network by examining the way neurons work. The dendrites are the inputs to the neuron. In the body, dendrites look for electrical activity on their ends and send signals through the cell body. The soma takes these signals and accumulates them. Based on a certain signal threshold, the axon is then activated. This is where the axons of other neurons connect to one another. The connection between neurons is referred to as a synapse, where they are attached to the dendrites of our current neuron. Now axons can connect to dendrites strongly, weakly or anything in between.

We use the size of the connection node to signify connection strength. As many different input neurons can connect to the dendrites of a single output neuron, each one has different connection strengths. We can assign this connection strength a value between zero and one, with one being very strong and approaching zero being weak. This value is called a connection weight. This methodology translates to any type of input, from pixel values of an image for recognition to audio frequencies of speech for speech recognition. For example, let's say we have five input nodes that define the characters a, b, c, d, and e. In this case, the output nodes would be defined by a, b, c, and e. The structure of these networks was developed layer-by-layer.

An example will be presented in a way that helps you understand how neural networks work. The upcoming videos will introduce new terms through a comprehensive example. As automation and algorithms replace more jobs, it's important to keep our minds sharp.

Brain Computing:

Brain-computer technology (also known as brain-machine interface) refers to the use of technology to establish a direct communication pathway between the brain and an external device or software. This technology allows individuals to control or interact with machines, computers, or other devices using their brain activity.

There are various types of brain-computer interfaces, including non-invasive and invasive techniques. Non-invasive techniques involve the use of external sensors, such as electroencephalography (EEG) or functional magnetic resonance imaging (fMRI), to detect brain activity and translate it into a computer-readable format. Invasive techniques involve the implantation of electrodes directly into the brain tissue to record or stimulate neural activity.

The applications of brain-computer technology are numerous and diverse, ranging from medical and therapeutic purposes to entertainment and gaming. For example, brain-computer interfaces can be used to help individuals with disabilities to communicate or control assistive devices, or to treat neurological disorders such as Parkinson's disease or epilepsy. They can also be used to enhance human performance in fields such as sports or the military, or to develop new forms of immersive virtual reality experiences.

Human Brain vs Brain Computing:

The human brain is a complex organ that is responsible for a wide range of cognitive, sensory, and motor functions. It consists of billions of neurons that communicate with each other through electrical and chemical signals, forming complex neural networks that give rise to consciousness, perception, and behavior.

On the other hand, brain computing refers to the use of technology to interface with the brain and enable communication between the brain and an external device or software. Brain computing involves the use of sensors, algorithms, and computer systems to detect and interpret brain activity, and to translate it into commands that can be used to control machines, prosthetics, or other devices.

While the human brain is a biological system that has evolved over millions of years, brain computing is a rapidly advancing field of technology that is still in its early stages of development. The human brain has many advantages over brain computing, such as its flexibility, adaptability, and ability to learn and change over time. However, brain computing has the potential to enhance human performance, treat neurological disorders, and create new forms of human-machine interaction.

While the human brain and brain computing are different in many ways, they are both important areas of study that offer exciting possibilities for the future of human cognition and technology.

Here are some additional differences between the human brain and brain computing:

Hardware: The human brain is a biological organ that is made up of cells and tissues, while brain computing involves the use of electronic devices and hardware such as sensors, electrodes, and computer systems.

Processing power: The human brain is a highly efficient and powerful processing unit that can perform complex computations using very little energy, while brain computing is still limited by the processing power of electronic devices.

Learning and adaptation: The human brain is capable of learning and adapting to new situations and experiences, while brain computing systems require programming and training to perform specific tasks.

Sensory input: The human brain receives input from a wide range of sensory systems, including vision, hearing, touch, taste, and smell, while brain computing systems typically rely on a limited number of input channels.

Ethical considerations: The use of brain computing raises ethical concerns related to privacy, autonomy, and the potential misuse of technology, while the human brain is subject to a different set of ethical considerations related to the treatment of living organisms.

Despite these differences, there is growing interest in developing brain-computer interfaces that can bridge the gap between the human brain and electronic devices, potentially leading to new forms of human-machine interaction and enhanced cognitive performance.

Future Technologies:

Despite its potential benefits, brain-computer technology also raises ethical and social concerns related to privacy, autonomy, and the potential misuse of such technologies. As with any emerging technology, it is important to consider these issues and ensure that brain-computer interfaces are developed and used in a responsible and ethical manner.

The future of brain-computer technology is promising, with potential applications in many fields. Here are some potential future technologies and uses of brain computing:

Brain-controlled prosthetics: Brain-computer interfaces could be used to allow individuals with amputations or paralysis to control prosthetic limbs using their brain activity.

Treatment of neurological disorders: Brain-computer interfaces could be used to treat a variety of neurological disorders, such as depression, anxiety, and chronic pain.

Augmented reality: Brain-computer interfaces could be used to create more immersive and interactive augmented reality experiences by allowing users to control the virtual environment with their thoughts.

Brain-based security: Brain-computer interfaces could be used for biometric authentication, allowing individuals to access secure systems or devices based on their unique brain activity patterns.

Telepathic communication: Brain-computer interfaces could be used to establish direct communication between individuals using their brain activity, potentially enabling telepathic communication.

Neural lace: Neural lace is a hypothetical technology that involves the implantation of tiny electrodes into the brain to create a seamless interface between the brain and technology. This could potentially enable individuals to upload their consciousness to the cloud, or to enhance their cognitive abilities.

Mind reading: Brain-computer interfaces could be used to decode an individual's thoughts and emotions, potentially allowing for more personalized marketing or advertising.

Brain-based education: Brain-computer interfaces could be used to personalize learning and education by tracking and responding to an individual's brain activity and cognitive performance.

Memory enhancement: Brain-computer interfaces could be used to enhance memory by strengthening neural connections or retrieving lost memories.

Brain-based entertainment: Brain-computer interfaces could be used to create new forms of entertainment, such as immersive movies or video games that are controlled by the player's thoughts.

Brain-based analytics: Brain-computer interfaces could be used to analyze and optimize brain activity for better performance in fields such as sports, medicine, or the military.

Brain-based therapy: Brain-computer interfaces could be used to deliver personalized therapy for mental health disorders, such as depression or PTSD, by targeting specific neural networks.

Brain-based creativity: Brain-computer interfaces could be used to enhance creativity and innovation by allowing individuals to interact with technology using their imagination and creativity.

Brain-based communication: Brain-computer interfaces could be used to improve communication between individuals with disabilities or language barriers, by translating brain activity into words or gestures.

Brain-based research: Brain-computer interfaces could be used to advance our understanding of the brain and its functions, potentially leading to new discoveries and treatments for neurological disorders.

Overall, the future of brain-computer technology is exciting, and its potential applications are diverse and far-reaching. However, it is important to continue exploring these technologies in a responsible and ethical manner to ensure that they benefit society as a whole.