HUMAN BRAIN PROJECT
"...forgive me: project in preparation...!"http://www.humanbrainproject.eu/introduction.htmlThe brain, with its billions of interconnected neurons, is without any doubt the most complex organ in the body and it will be a long time before we understand all its mysteries. The Human Brain Project proposes a completely new approach. The project is integrating everything we know about the brain into computer models and using these models to simulate the actual working of the brain. Ultimately, it will attempt to simulate the complete human brain. The models built by the project will cover all the different levels of brain organisation – from individual neurons through to the complete cortex. The goal is to bring about a revolution in neuroscience and medicine and to derive new information technologies directly from the architecture of the brain.
The challenges facing the project are huge. Neuroscience alone produces more than 60'000 scientific papers every year. From this enormous mass of information, the project will have to select and harmonise the data it is going to use – ensuring that data produced with different methods is fully comparable.
The data feeding the project's simulation effort will come from the clinic and from neuroscience experiments. As we try to fit all the information together, we will discover many of the brain's fundamental design secrets: the geometry and electrical behaviour of different classes of neurons, the way they connect to form circuits, and the way new functions emerge as more and more neurons connect. It is these principles, translated into mathematics that will drive the project's models and simulations.
Today, simulating a single neuron requires the full power of a laptop computer. But the brain has billions of neurons and simulating all them simultaneously is a huge challenge. To get round this problem, the project will develop novel techniques of multi-level simulation in which only groups of neurons that are highly active are simulated in detail. But even in this way, simulating the complete human brain will require a computer a thousand times more powerful than the most powerful machine available today. This means that some of the key players in the Human Brain Project will be specialists in supercomputing. Their task: to work with industry to provide the project with the computing power it will need at each stage of its work.
The Human Brain Project will impact many different areas of society. Brain simulation will provide new insights into the basic causes of neurological diseases such as autism, depression, Parkinson's, and Alzheimer's. It will give us new ways of testing drugs and understanding the way they work. It will provide a test platform for new drugs that directly target the causes of disease and that have fewer side effects than current treatments. It will allow us to design prosthetic devices to help people with disabilities. The benefits are potentially huge. As world populations grow older, more than a third will be affected by some kind of brain disease. Brain simulation provides us with a powerful new strategy to tackle the problem.
The project also promises to become a source of new Information Technologies. Unlike the computers of today, the brain has the ability to repair itself, to take decisions, to learn, and to think creatively - all while consuming no more energy than an electric light bulb. The Human Brain Project will bring these capabilities to a new generation of neuromorphic computing devices, with circuitry directly derived from the circuitry of the brain. The new devices will help us to build a new generation of genuinely intelligent robots to help us at work and in our daily lives.
The Human Brain Project builds on the work of the Blue Brain Project. Led by Henry Markram of the Ecole Polytechnique Fédérale de Lausanne (EPFL), the Blue Brain Project has already taken an essential first towards simulation of the complete brain. Over the last six years, the project has developed a prototype facility with the tools, know-how and supercomputing technology necessary to build brain models, potentially of any species at any stage in its development. As a proof of concept, the project has successfully built the first ever, detailed model of the neocortical column, one of the brain's basic building blocks.
Please note all information in this website reflects the Human Brain Project – Preparatory Study.
THE COMPLEXITIES INVOLVED
The Human Brain Project presents a huge challenge for computing. The project will need massive computing power but this, on its own, will not be enough. Simulating just one neuron requires the full power of a laptop computer and the human brain has billions. As researchers come closer to simulating the complete human brain they will need ever more powerful computing resources.
Jülich, a partner in the project, will host the main supercomputing centre. In the project, Jülich will work with industry to design and set up the necessary infrastructure. In the later stages this work researchers on the project will have access to a computer a thousand times more powerful than the most powerful computers existing today.
To simulate the complete human brain, the project's computer engineers will design new techniques of multi-level simulation. In this approach, highly active neurons will be simulated in great detail while simulations of less active neurons will be less detailed - making the best possible use of the available computing power.
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...IN PURE LOGIC, what is ignored as something more complex than a human mind can perceive or conceive as such, or is being realized as very complex and the complexity level is unknown, demands a verdict !
...THE VEREDICT is as most realize so far in Cognitive Science and Artificial Intelligence, that a human made mechanical/electronic "robot", cannot be more complex than what it's human maker is, or as what the human maker knows !
TO DEVELOP a "robot" inorganic, demands the verdict, that if it be made capable of becoming more "complex" and thus feasibly more "intelligent" than humans, which is conceptually "a too big abyss to bridge", it would be too dangerous for human existence ! And no human structurally is made to want in competition mentality, something better than self ! At least as most humans function in modern society !
...THE FURTHER VERDICTS ARE: in this joint venture in logic, now having become a World "negative" inquest of logic, going foul, with ancient logic wanting to remain in precedence, over better logic, is as follows. Additionally this inquest of logic has and always will have, the normal usage of analysis and study of advance in logic, as to pure logic and myself! How others use logic or react negatively to pure logic, is their own responsibility, and not mine! Your self rejection and denial is not my problem!
[*] Most humans are consequent users of their brains and minds, and do not have full knowledge of themselves!
[*] Nobody can study the mind and brain of themselves or others, without external help and instrumentation!
[*] Nobody perceives the need or importance of the need for the knowledge of the human brain and mind! Simply because the World can or could go on for ever with the way they are today!
[*] Pure logic, establishes that what is more complex than what yourself can perceive, demands a more intelligent approach to life and origins!
[*] We are as perceived selves inside a organic machine more complex than our own selves! This is a form of definition of consciousness!
[*] Is this self, more than normal organic matter or energy?
[*] What is finally perceived by Science as the "huge challenge for computing", as thus hence, "a abyss too big to bridge", in logic defines the impossible of Biology Evolution in Origins! Clearly makes way to the definitions of pure logic, of what is not super-natural, but infra or supra natural! Ancient Religions and theology, might have some basics in logic right, but mostly are mere superstitions! How can a World obscure pure logic over mere Religious superstitions and Illogic of Biology Evolution? Because a mind has the capability to obscure itself willfully and not so willfully!
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