Grid-Based Computing to Fight Neurological Disease

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and science breakthroughs -- updated daily

Grid-Based Computing to Fight Neurological Disease

ScienceDaily (Apr. 11, 2012) — Grid computing, long used by physicists and astronomers to crunch masses of data quickly and efficiently, is making the leap into the world of biomedicine. Supported by EU-funding, researchers have networked hundreds of computers to help find treatments for neurological diseases such as Alzheimer’s. They are calling their system the ‘Google for brain imaging.’

Through the Neugrid project, the pan-European grid computing infrastructure has opened up new channels of research into degenerative neurological disorders and other illnesses, while also holding the promise of quicker and more accurate clinical diagnoses of individual patients.

The infrastructure, set up with the support of EUR 2.8 million in funding from the European Commission, was developed over three years by researchers in seven countries. Their aim, primarily, was to give neuroscientists the ability to quickly and efficiently analyse ‘Magnetic resonance imaging’ (MRI) scans of the brains of patients suffering from Alzheimer’s disease. But their work has also helped open the door to the use of grid computing for research into other neurological disorders, and many other areas of medicine.

‘Neugrid was launched to address a very real need. Neurology departments in most hospitals do not have quick and easy access to sophisticated MRI analysis resources. They would have to send researchers to other labs every time they needed to process a scan. So we thought, why not bring the resources to the researchers rather than sending the researchers to the resources,’ explains Giovanni Frisoni, a neurologist and the deputy scientific director of IRCCS Fatebenefratelli, the Italian National Centre for Alzheimer’s and Mental Diseases, in Brescia.

Five years’ work in two weeks The Neugrid team, led by David Manset from MaatG in France and Richard McClatchey from the University of the West of England in Bristol, laid the foundations for the grid infrastructure, starting with five distributed nodes of 100 cores (CPUs) each, interconnected with grid middleware and accessible via the internet with an easy-to-use web browser interface. To test the infrastructure, the team used datasets of images from the Alzheimer’s Disease Neuroimaging Initiative in the United States, the largest public database of MRI scans of patients with Alzheimer’s disease and a lesser condition termed ‘Mild cognitive impairment’.

‘In Neugrid we have been able to complete the largest computational challenge ever attempted in neuroscience: we extracted 6,500 MRI scans of patients with different degrees of cognitive impairment and analysed them in two weeks,’ Dr. Frisoni, the lead researcher on the project, says, ‘on an ordinary computer it would have taken five years!’.

Though Alzheimer’s disease affects about half of all people aged 85 and older, its causes and progression remain poorly understood. Worldwide more than 35 million people suffer from Alzheimer’s, a figure that is projected to rise to over 115 million by 2050 as the world’s population ages.

Patients with early symptoms have difficulty recalling the names of people and places, remembering recent events and solving simple maths problems. As the brain degenerates, patients in advanced stages of the disease lose mental and physical functions and require round-the-clock care.

The analysis of MRI scans conducted as part of the Neugrid project should help researchers gain important insights into some of the big questions surrounding the disease such as which areas of the brain deteriorate first, what changes occur in the brain that can be identified as biomarkers for the disease and what sort of drugs might work to slow or prevent progression.

Neugrid built on research conducted by two prior EU-funded projects: Mammogrid, which set up a grid infrastructure to analyse mammography data, and AddNeuroMed, which sought biomarkers for Alzheimer’s. The team are now continuing their work in a series of follow-up projects. An expanded grid and a new paradigm Neugrid for You (N4U), a direct continuation of Neugrid, will build upon the grid infrastructure, integrating it with ‘High performance computing’ (HPC) and cloud computing resources. Using EUR 3.5 million in European Commission funding, it will also expand the user services, algorithm pipelines and datasets to establish a virtual laboratory for neuroscientists.

‘In Neugrid we built the grid infrastructure, addressing technical challenges such as the interoperability of core computing resources and ensuring the scalability of the architecture. In N4U we will focus on the user-facing side of the infrastructure, particularly the services and tools available to researchers,’ Dr. Frisoni says. ‘We want to try to make using the infrastructure for research as simple and easy as possible,’ he continues, ‘the learning curve should not be much more difficult than learning to use an iPhone!’

N4U will also expand the grid infrastructure from the initial five computing clusters through connections with CPU nodes at new sites, including 2,500 CPUs recently added in Paris in collaboration with the French Alternative Energies and Atomic Energy Commission (CEA), and in partnership with ‘Enabling grids for e-science Biomed VO’, a biomedical virtual organisation.

Another follow-up initiative, outGRID, will federate the Neugrid infrastructure, linking it with similar grid computing resources set up in the United States by the Laboratory of Neuro Imaging at the University of California, Los Angeles, and the CBRAIN brain imaging research platform developed by McGill University in Montreal, Canada. A workshop was recently held at the International Telecommunication Union, an agency of the United Nations, to foster this effort.

Dr. Frisoni is also the scientific coordinator of the DECIDE project, which will work on developing clinical diagnostic tools for doctors built upon the Neugrid grid infrastructure. ‘There are a couple of important differences between using brain imaging datasets for research and for diagnosis,’ he explains. ‘Researchers compare many images to many others, whereas doctors are interested in comparing images from a single patient against a wider set of data to help diagnose a disease. On top of that, datasets used by researchers are anonymous, whereas images from a single patient are not and protecting patient data becomes an issue.’

The DECIDE project will address these questions in order to use the grid infrastructure to help doctors treat patients. Though the main focus of all these new projects is on using grid computing for neuroscience, Dr. Frisoni emphasises that the same infrastructure, architecture and technology could be used to enable new research — and new, more efficient diagnostic tools — in other fields of medicine. ‘We are helping to lay the foundations for a new paradigm in grid-enabled medical research,’ he says.

Neugrid received research funding under the European Union’s Seventh Framework Programme (FP7).

Scientists at MIT replicate brain activity with chip,,,


Scientists at MIT replicate brain activity with chip

A graphic of a brain
17 November 2011  at 20:42 GMT
The chip replicates how information flows around the brain

Scientists are getting closer to the dream of creating computer systems that can replicate the brain.

Researchers at the Massachusetts Institute of Technology have designed a computer chip that mimics how the brain’s neurons adapt in response to new information.

Such chips could eventually enable communication between artificially created body parts and the brain.

It could also pave the way for artificial intelligence devices.

There are about 100 billion neurons in the brain, each of which forms synapses – the connections between neurons that allow information to flow – with many other neurons.

This process is known as plasticity and is believed to underpin many brain functions, such as learning and memory.

Neural functions

The MIT team, led by research scientist Chi-Sang Poon, has been able to design a computer chip that can simulate the activity of a single brain synapse.

Activity in the synapses relies on so-called ion channels which control the flow of charged atoms such as sodium, potassium and calcium.

The ‘brain chip’ has about 400 transistors and is wired up to replicate the circuitry of the brain.

Current flows through the transistors in the same way as ions flow through ion channels in a brain cell.

“We can tweak the parameters of the circuit to match specific ions channels… We now have a way to capture each and every ionic process that’s going on in a neuron,” said Mr Poon.

Neurobiologists seem to be impressed.

It represents “a significant advance in the efforts to incorporate what we know about the biology of neurons and synaptic plasticity onto …chips,” said Dean Buonomano, a professor of neurobiology at the University of California.

“The level of biological realism is impressive,” he added.

The team plans to use their chip to build systems to model specific neural functions, such as visual processing.

Such systems could be much faster than computers which take hours or even days to simulate a brain circuit. The chip could ultimately prove to be even faster than the biological process.

More on This Story

Related Stories

Developing a human brain in brain chip for a hybrid brain,,,

BBC News

 Tuesday, 11 March 2008, 10:32 GMT 

Chemical brain controls nanobots
By Jonathan Fildes
Science and technology reporter, BBC News

Artificial brain
The researchers have already built larger ‘brains’

A tiny chemical “brain” which could one day act as a remote control for swarms of nano-machines has been invented.

The molecular device – just two billionths of a metre across – was able to control eight of the microscopic machines simultaneously in a test.

Writing in Proceedings of the National Academy of Sciences, scientists say it could also be used to boost the processing power of future computers.

Many experts have high hopes for nano-machines in treating disease.

“If [in the future] you want to remotely operate on a tumour you might want to send some molecular machines there,” explained Dr Anirban Bandyopadhyay of the International Center for Young Scientists, Tsukuba, Japan.

“But you cannot just put them into the blood and [expect them] to go to the right place.”

Dr Bandyopadhyay believes his device may offer a solution. One day they may be able to guide the nanobots through the body and control their functions, he said.

“That kind of device simply did not exist; this is the first time we have created a nano-brain,” he told BBC News.

Computer brain

The machine is made from 17 molecules of the chemical duroquinone. Each one is known as a “logic device”.

How nanotechnology is building the future from the bottom up

They each resemble a ring with four protruding spokes that can be independently rotated to represent four different states.

One duroquinone molecule sits at the centre of a ring formed by the remaining 16. All are connected by chemical bonds, known as hydrogen bonds.

The state of the control molecule at the centre is switched by a scanning tunnelling microscope (STM).

These large machines are a standard part of the nanotechnologist’s tool kit, and allow the viewing and manipulation of atomic surfaces.

Using the STM, the researchers showed they could change the central molecule’s state and simultaneously switch the states of the surrounding 16.

“We instruct only one molecule and it simultaneously and logically instructs 16 others at a time,” said Dr Bandyopadhyay.

The configuration allows four billion different possible combinations of outcome.

The two nanometre diameter structure was inspired by the parallel communication of glial cells inside a human brain, according to the team.

Robot control

To test the control unit, the researchers simulated docking eight existing nano-machines to the structure, creating a “nano-factory” or a kind of “chemical swiss army knife”.

Nano dust (SPL)

Scientists believe nano-machines could have medical applications

The attached devices, created by other research groups, included the “world’s tiniest elevator”, a molecular platform that can be raised or lowered on command.

The device is about two and a half nanometres (billionths of a metre) high, and the lift moves less than one nanometre up and down.

All eight machines simultaneously responded to a single instruction in the simulation.

“We have clear cut evidence that we can control those machines,” said Dr Bandyopadhyay.

This “one-to-many” communication and the device’s ability to act as a central control unit also raises the possibility of using the device in future computers, he said.

Machines built using devices such as this would be able to process 16 bits of information simultaneously.

Current silicon Central Processing Units (CPUs) can only carry out one instruction at a time, albeit millions of times per second.

The researchers say they have already built faster machines, capable of 256 simultaneous operations, and have designed one capable of 1024.

However, according to Professor Andrew Adamatzky of the University of the West England (UWE), making a workable computer would be very difficult at the moment.

“As with other implementations of unconventional computers the application is very limited, because they operate [it] using scanning tunnel microscopy,” he said.

But, he said, the work is promising.

“I am sure with time such molecular CPUs can be integrated in molecular robots, so they will simply interact with other molecular parts autonomously.”

Revolution in Artificial Intelligence,,,

 ScienceDaily: Your source for the latest research news<br /><br />
and science breakthroughs -- updated daily


Computer Scientist Leads the Way to the Next Revolution in Artificial Intelligence

ScienceDaily (Apr. 2, 2012) — As computer scientists this year celebrate the 100th anniversary of the birth of the mathematical genius Alan Turing, who set out the basis for digital computing in the 1930s to anticipate the electronic age, they still quest after a machine as adaptable and intelligent as the human brain.

Now, computer scientist Hava Siegelmann of the University of Massachusetts Amherst, an expert in neural networks, has taken Turing’s work to its next logical step. She is translating her 1993 discovery of what she has dubbed “Super-Turing” computation into an adaptable computational system that learns and evolves, using input from the environment in a way much more like our brains do than classic Turing-type computers. She and her post-doctoral research colleague Jeremie Cabessa report on the advance in the current issue ofNeural Computation.

“This model is inspired by the brain,” she says. “It is a mathematical formulation of the brain’s neural networks with their adaptive abilities.” The authors show that when the model is installed in an environment offering constant sensory stimuli like the real world, and when all stimulus-response pairs are considered over the machine’s lifetime, the Super Turing model yields an exponentially greater repertoire of behaviors than the classical computer or Turing model. They demonstrate that the Super-Turing model is superior for human-like tasks and learning.

“Each time a Super-Turing machine gets input it literally becomes a different machine,” Siegelmann says. “You don’t want this for your PC. They are fine and fast calculators and we need them to do that. But if you want a robot to accompany a blind person to the grocery store, you’d like one that can navigate in a dynamic environment. If you want a machine to interact successfully with a human partner, you’d like one that can adapt to idiosyncratic speech, recognize facial patterns and allow interactions between partners to evolve just like we do. That’s what this model can offer.”

Classical computers work sequentially and can only operate in the very orchestrated, specific environments for which they were programmed. They can look intelligent if they’ve been told what to expect and how to respond, Siegelmann says. But they can’t take in new information or use it to improve problem-solving, provide richer alternatives or perform other higher-intelligence tasks.

In 1948, Turing himself predicted another kind of computation that would mimic life itself, but he died without developing his concept of a machine that could use what he called “adaptive inference.” In 1993, Siegelmann, then at Rutgers, showed independently in her doctoral thesis that a very different kind of computation, vastly different from the “calculating computer” model and more like Turing’s prediction of life-like intelligence, was possible. She published her findings in Science and in a book shortly after.

“I was young enough to be curious, wanting to understand why the Turing model looked really strong,” she recalls. “I tried to prove the conjecture that neural networks are very weak and instead found that some of the early work was faulty. I was surprised to find out via mathematical analysis that the neural models had some capabilities that surpass the Turing model. So I re-read Turing and found that he believed there would be an adaptive model that was stronger based on continuous calculations.”

Each step in Siegelmann’s model starts with a new Turing machine that computes once and then adapts. The size of the set of natural numbers is represented by the notation aleph-zero, 0, representing also the number of different infinite calculations possible by classical Turing machines in a real-world environment on continuously arriving inputs. By contrast, Siegelmann’s most recent analysis demonstrates that Super-Turing computation has 20, possible behaviors. “If the Turing machine had 300 behaviors, the Super-Turing would have 2300, more than the number of atoms in the observable universe,” she explains.

The new Super-Turing machine will not only be flexible and adaptable but economical. This means that when presented with a visual problem, for example, it will act more like our human brains and choose salient features in the environment on which to focus, rather than using its power to visually sample the entire scene as a camera does. This economy of effort, using only as much attention as needed, is another hallmark of high artificial intelligence, Siegelmann says.

“If a Turing machine is like a train on a fixed track, a Super-Turing machine is like an airplane. It can haul a heavy load, but also move in endless directions and vary its destination as needed. The Super-Turing framework allows a stimulus to actually change the computer at each computational step, behaving in a way much closer to that of the constantly adapting and evolving brain,” she adds.

Siegelmann and two colleagues recently were notified that they will receive a grant to make the first ever Super-Turing computer, based on Analog Recurrent Neural Networks. The device is expected to introduce a level of intelligence not seen before in artificial computation.

Efficiency in Multi-Core Chips “computerbrain”

New Bandwidth Management Techniques Boost Operating Efficiency in Multi-Core Chips

ScienceDaily (May 25, 2011) — Researchers from North Carolina State University have developed two new techniques to help maximize the performance of multi-core computer chips by allowing them to retrieve data more efficiently, which boosts chip performance by 10 to 40 percent.

To do this, the new techniques allow multi-core chips to deal with two things more efficiently: allocating bandwidth and “prefetching” data.

Multi-core chips are supposed to make our computers run faster. Each core on a chip is its own central processing unit, or computer brain. However, there are things that can slow these cores. For example, each core needs to retrieve data from memory that is not stored on its chip. There is a limited pathway — or bandwidth — these cores can use to retrieve that off-chip data. As chips have incorporated more and more cores, the bandwidth has become increasingly congested — slowing down system performance.

One of the ways to expedite core performance is called prefetching. Each chip has its own small memory component, called a cache. In prefetching, the cache predicts what data a core will need in the future and retrieves that data from off-chip memory before the core needs it. Ideally, this improves the core’s performance. But, if the cache’s prediction is inaccurate, it unnecessarily clogs the bandwidth while retrieving the wrong data. This actually slows the chip’s overall performance.

“The first technique relies on criteria we developed to determine how much bandwidth should be allotted to each core on a chip,” says Dr. Yan Solihin, associate professor of electrical and computer engineering at NC State and co-author of a paper describing the research. Some cores require more off-chip data than others. The researchers use easily-collected data from the hardware counters on each chip to determine which cores need more bandwidth. “By better distributing the bandwidth to the appropriate cores, the criteria are able to maximize system performance,” Solihin says.

“The second technique relies on a set of criteria we developed for determining when prefetching will boost performance and should be utilized,” Solihin says, “as well as when prefetching would slow things down and should be avoided.” These criteria also use data from each chip’s hardware counters. The prefetching criteria would allow manufacturers to make multi-core chips that operate more efficiently, because each of the individual cores would automatically turn prefetching on or off as needed.

Utilizing both sets of criteria, the researchers were able to boost multi-core chip performance by 40 percent, compared to multi-core chips that do not prefetch data, and by 10 percent over multi-core chips that always prefetch data.

The paper, “Studying the Impact of Hardware Prefetching and Bandwidth Partitioning in Chip-Multiprocessors,” will be presented June 9 at the International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) in San Jose, Calif. The paper was co-authored by Dr. Fang Liu, a former Ph.D. student at NC State. The research was supported, in part, by the National Science Foundation.

NC State’s Department of Electrical and Computer Engineering is part of the university’s College of Engineering.

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Public awareness of the technologies and experiments on humans and its impact on individuals and society in Sweden and Europe / USA.

Public awareness of the MIND CONTROL Technologies and experiments on humans and its impact on individuals and society in Sweden and Europe.

Only within a small sphere of military / medical classified research and industrial projects are factual knowledge available. It has once been of scientific research has focused on the new technologoist is developed into a commercial orgy of humantorture and humiliation,injury to a third party carried out by researchers and their speaking computers with artificial intelligence.

How long shall attempt to sacrifice their families and work have to fight for their human rights in the frenzy of abuse that is now underway on software developed for mapping the brain. 25-04-2010. MINDTECH seeks to establish a network of laymen and media. This group will be dealing with the social and ethical sides to research, development and the implementation of emerging technologies in our society. The most interesting part are the Direct Human Brain – artifcial intelegence – Interface System technologies. MINDTECH will do extensive and thorough research into this totally new area, which at this point, is being investigated only by the few.

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Implant chip in the human brain.Synthetic telepathy is communication systems built on thoughts, not speech. Multimedia communication network is based. Brain copying is performed around the clock, largely by learning computer, copying is nothing short of serious torture. No one would voluntarily give informed consent to this serious research abuse. It takes years of learning and program development to develop the new computer-brain interfaces and multimedia language between man and computer. Subjects are now against their will has been online for 6.5 years on Man-Brain-Computer-Interface.

Neurological research has progressed so far that you can hack the neural system is wireless, which means that a computer can communicate with your brain and store all your sensory experiences, and then studying your kognetiva behavior, ie, the ultimate human study. The commercial user fields are endless and it feels no need to explain the far-reaching consequences when abused. This technology brain-computer interaction has happened during the 2000’s and will revoltion our way of life.

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“The right to search for truth implies also a duty one must not conceal any part of what one has found to be true”




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IBM: Mind reading within reach in 5 years

The world is changing fast–maybe faster than we ever thought. And within five years, science fiction is going to turn into non-fiction. We’ll be able to read each other’s minds.


These are just three of the five predictions IBM announced this morning as part of its annual “5 in 5” prognostication project.

December 19, 2011 12:12 PM

The list is meant to promote long-term work being done under Big Blue’s Smarter Planet initiative–and the company says “5 in 5″ already has a track record of success. In 2008, IBM says, it suggested that within five years, consumers would talk to the Web–and the Web would respond. This, the predictions are a bit more :

  • Mind reading is no longer science fiction.
  • You will never need a password again.
  • The digital divide will cease to exist.
  • Junk mail will become priority mail.

It would seem the most interesting idea posited by IBM is the one about reading minds. But lest you think that what its scientists are saying is that you’ll be able to glare at a friend–or perhaps more importantly, an enemy–and know what he or she is thinking, that may be more than five years off. Rather, this is about how our brain implant might someday be synced with computing devices: If you just need to think about calling someone, it happens. Or you can control the cursor on a computer screen just by thinking about where you want to move it.

ibm brain

We’ve been issuing the Next 5 in 5 predictions for the past six years. So, how are we doing? Mindful of the difficulty, and considering the fact that for most of the predictions less than five years have passed, we’ve done pretty well. Two of the first year’s predictions, for instance, have pretty much come true: We will be able to access healthcare remotely from just about anywhere in the world. Today, through telemedicine, patients can connect with physicians or specialists from just about anywhere via inexpensive computers and broadband networks. Doctors can view x-rays and other diagnostic imagery from thousands of miles away. Technologies the size of a few atoms will address areas of environmental importance. Nanotechnology is now used in countless fields and industries, including agriculture, biotechnology and sensor networks, enabling us to understand and interact with the naturals.

world in my eyes

Mr Computer’s capabilities and human-like reasoning cannot be understated.

Read moore:

Mon Jan 16, 2012 7:54 PM EST

Predictions from other years have panned out as well. A couple of examples: You will have a crystal ball for your health. Thanks to advances in genetic research and high-performance computing it is now possible to affordably decipher an individual’s entire genome. This makes it possible for physicians to alert people to medical conditions they might fall prey to, and it clears the pathway, eventually, to truly personal medicine. You will talk to the Web…and the Web will talk back. Today, speech recognition and mobile communications technologies make it possible for people to talk to the Internet using their computers or mobile phones, be understood, and listen to automated voices that are responsive to their needs. The Next 5 in 5 initiative got its start in an IBM Innovation Jam in 2006. The seed goal was to get the entire company thinking about grand challenges. “If you give people a grand challenge you push them to really innovate,” says Meyerson. “That’s when extraordinary things can happen.” IBM has played a significant role in each of these breakthroughs. So, it’s working.

Brain hive mind


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By: Anders Sandberg. Oxford U.K An implant. It is an independent processor linked to the neurocomputer built to house an artifcial intelegence. The artifcial intelligence program has access to the sensory data and information in the neurocomputer, and can “read” surface thoughts of the owner (of course, access controls can be set if needed, both in the implant and the (artifcial intelegence). Having a (or several) as advisor/secretary/partner is becoming more and more common, although most people rely on an external artifcial intelegence system and a wireless neural connection. It is not uncommon for users to get a motoric shunt to give the artifcial intelegence the ability to control the body.Chips with monitoring artifcial intelegence are sometimes used for or behaviour correction in Landfall.

Brain dollar


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An implant of the limbic system, enabling the owners to control their moods. Normally it just sets an allowed range and a bias (e.g. towards cheerfulness or calm), but it can also induce stronger emotional states. The implant is somewhat dangerous due to the risk of addiction to extreme positive states; most users at least tend to improve their mood. Originally it was developed on Nova for treatment of certain emotional disorders, especially the rare but devastating OIAIS (Ocean Induced AutoImmune Syndrome, an autoimmune illness induced by certain poisons causing severe mood swings due to damage of the limbic system). Later more widespread use developed. There are also moodcasters, systems sending signals to the implants of people who have allowed access. Moodcasters are mainly used in virtual dramas.Autonomous control bluered.gif (1041 bytes)

Enables the owner to control many aspects of the autonomous nervous system such as hunger, sleep or pain. Turning off these functions are of course dangerous, but sometimes useful. It can also act as a super-alarm clock (guaranteed to wake you up) or “homeostatic tuner” to optimise the hormone balance of the body.


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Mind Control “Brain Control” and Brain Cloning !

“To build a Computerbrain”

neuro waves

occupy our mind

Are You a Robosapiens YET ?

One of the most powerful weapons are now targeting some of the civilian population in Europe during its development. The weapon is called brain implants and synthetic telepathy. Synthetic telepathy covers mind reading, and artificial intelligence, to clone the brain and build a computerbrain. People who are involved in the development of invasive imaging of the brain and nervous system without their consent has no legal protection, no human rights, and no medical help. Instead of receiving protection diagnosed these people to suffer from a mental illness. Research is conducted 24 / 7 over the aging process.
We want this website to create an awareness and an awareness that many of the new technologies described developed on the civilian population in Sweden and Europe, without their consent and / or knowledge, for this many years.
Mindtech cooperate with the media and the Swedish / European companies to try to enforce the ethics debate. An ethical debate that has since been blacked out by the research and its representatives.
Know someone who is multi-media online but do not dare talk about it?
It is easy not to be believed for the person who claims that a paradigm shift in computer-brain integration and multimedia technology is already here.
We are aware that part of the information here may sound like pure science fiction, but it is already a reality.

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computing brain

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Brain Implants and miniaturized Signal Analysis System is implanted in people without their informed consent, in hospitals all over Europe. The systems are used to clone, and make an artificial copy of the human life, including their nervous system, memory, learning and emotions. This type of illegal research of are impossible to detect. This crimes can continue because yet there is no technology that can detect bioelectronics/neuroelectronics in nano size. The artificial intelligence which performs the majority of the research work, is programmed as a war machine that does not hesitate from any means in order to improve its learning and cloning of a human. This intelligence acquire continuously, more and more unreasonable arguments for continuing its work to grow, including the use of gross physical and mental abuse in an attempt to uphold ”companionship” with the person who is under intrusion. This is also a war between humans and the new computer brains.
These works are aimed at exploring and expose the techno-ethics /Human-Brain- of human interactions with adaptive and cognitive systems developed in the framework of Computer, Bionics, and Artificial Intelligence “computerbrain”.These interactions notably include:
– Human, Brain-Computer non-invasive interactions, involving (AI) autonomous computer which inhabit human environments;
– Human, Brain-machine invasive interactions, involving bionic systems for restoring or enhancing human functionalities;
– Human Brain-softbot interactions, involving AI systems for information access and communication like a Computerbrain, with related areas of applied ethics, concerns:
– Preservation and promotion of human freedom, rights, and identity;
– Fair access to adaptive BRAIN, machinery resources;
– Scientific method and techno-ethical policies;
– Precautionary principles in human-machine interactions;
– Responsibilities for cooperative human-machine deliberation and action;
– Machine autonomy and accountability;
– Individual and societal impact of human brain-machine cognitive and affective bonds;
– Intercultural aspects of robosapiens development, design, and use.

brain globe

Scientists Successfully Implant Chip That Controls The Brain


Thoughts, Memory And Behavior To Be Transferred From One

Brain To Another Brain

Brain mind uploading

 In a scene right out of a George Orwell novel, a team of scientists working in the fields of “neural engineering” and “Biomimetic MicroElectronic Systems” have successfully created a chip that controls the brain and can be used as a storage device for long-term memories. In studies the scientists have been able to record, download and transfer memories into other hosts with the same chip implanted. The advancement in technology brings the world one step closer to a global police state and the reality of absolute mind control.

brain eye neuron nano

More terrifying is the potential for implementation of what was only a science fiction fantasy – the “Thought Police” – where the government reads people’s memories and thoughts and then rehabilitate them through torture before they ever even commit a crime based on a statistical computer analysis showing people with certain types of thoughts are likely to commit a certain type of crime in the future.

We already pre-emptively invade nations and torture alleged terrorist suspects with absolutely no due process of law, so the idea of pre-emptively torturing a terrorist suspect before hand to prevent them from committing an act of terrorism in the future really isn’t that far fetched of an idea.

Perhaps a less sensational example, than those I just depicted out of own of Orwell’s famous dystopian novels would be using the technology as it is depicted the modern day Matrix movies, in which computer programs are uploaded into people’s brains allowing them to instantly learn how to perform a wide variety of tasks.

That is exactly the example that Smart Planet uses in their write-up on the USC press release.

Wideband Link

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The implants used to achieve group consciousness. Unlike an ordinary neuro, (atrificial intelligence) inteface it connects to most of the cerebral cortex and has a much higher bandwidth. It can send and receive signals not just of primary sensory and motor information but also higher order associations and thoughts. Since each human has an individual “mental language” sophisticated translation systems and much training is required before digital telepathy is possible. Wideband links are also used by the Net Transcendence and Next Step Foundation in their experiments with expanding the human mind. One of the most controversial and interesting applications is to let software rewrite parts of the cortex; theoretically this could be the ultimate psychodesign, even if it is currently extremely crude.

nano implant

Medial forebrain pacemaker

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An implant in the motivation and pleasure centres that is controlled by the owner’s neurocomputer. It is illegal and very addictive: users quickly become hooked on anything that activates it. It can be used together with behaviour therapy to change habits and personality.

Thought Control – a new ethical problem! Being able to connect the human brain to a computer via electrodes open, of course, frightening possibilities. Will it be possible to control a person’s thoughts?

There are important ethical aspects of this. It would, of course, theoretically able to control brain functions and modify the human personality. For example, make them more or less prone to aggression or to increase learning ability by adding to chronic stimulation. It’s like with everything else, with the knowledge that there can use it in many ways, “says Göran Lundborg Sweden

People who are exposed without informed consent for research abuse and torture of the new technology, explained idiot when they seek help from authorities. This lack of knowledge caused by the researchers to withhold reports on the technology’s existence


By: Anders Sandberg. Oxford U.K

The future may well involve the reality of science fiction’s cyborg, persons who have developed some intimate and occasionally necessary relationship with a machine. It is likely that implantable computer chips acting as sensors, or actuators, may soon assist not only failing memory, but even bestow fluency in a new language, or enable “recognition” of previously unmet individuals. The progress already made in therapeutic devices, in prosthetics, and Brain  in computer science indicate that it may well be feasible to develop direct interfaces between the brain and computers.

Colleague, Professor Gershenfeld, asserts that “in 5 years, computers will be everywhere; in 10 years, embedded by bioengineers in our bodies…” Neither visionary professes any qualms about this project, which they expect to alter human nature itself. “Suddenly technology has given us powers with which we can manipulate not only external reality — the physical world — but also, and much more portentously, ourselves.” Once networked the result will be a “collective intellegence, consciousness”, “the hive mind.” “The hive mind…is about taking all these trillions of cells in our skulls that make individual intelligence. consciousness and putting them together and arriving at a new kind of consciousness that transcends all the individuals.”


A collaboration with mindtech

Mindtech To this information about the revolution highlighting interdisciplinary research, without informed consent to communicate with mind- brain-computer interface.

It’s about providing information to create a general awareness that leads to an ethical debate about this technology. This will hopefully lead to a legislation against the misuse of technology.

It is also about identifying who or what in Sweden and Europe who have illegally engaged in research on people under torture forms.

Mindtech cooperate with the media, church,  the private sector and victims of this research.

Contact us via the contact form.

By: Magnus Olsson / SWEDEN

Science News Brain / Implant

Brain Implant Allows Users to Instantly Speak Foreign Language,,,

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Nano-Chip Brain Implant Allows Users to Instantly Speak Foreign Language,,,

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The first-ever nano-chip language translators are rolling off the assembly line and into cosmetic surgeons’ offices quicker than you can say “Se Habla Espanol?” No longer will it be necessary for those wishing to learn a second or even third language to go through the arduous process of weeks and weeks of studying tapes or attending language classes. The product is called “Nano-Second Language” or NSL, and they are expected to sell out within weeks.

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The makers of the NSL brain implant first developed the product under a grant by the United States Department of Defense as a solution to the problem servicemen and women were having when being shipped overseas to the Middle East. “No one spoke Arabic which led to some serious misunderstandings between our military and that of the country our servicemen were stationed in,” says Dr. Lewis Lipps, chief engineer on the NSL project. “The NSL Arabic version will immediately resolve that issue and allow certain soldiers to communicate in countries such as Iraq, Afghanistan, even Libya with little to no problem,” said Lipps.

Asked how the nano-chip brain implant works, Lipps explained, “The NSL Arabic version, for instance, has a complete Arabic alphabet and dictionary with over 20,000 common words which are electronically translatable from English literally within nanoseconds. In a simple outpatient procedure, the NSL chip is implanted into the corpus callosum portion of the left side, or the language center, of the brain and activated.”

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Dr. Lipps then showed illustrations of the procedure which is done through arthroscopic surgery. “As soon as a soldier thinks out the phrase he wants to say,” he continued, “he pushes a button that is also implanted discretely underneath the skin on the soldier’s upper left side of the head.” Dr. Lipps explained that when the soldier goes to speak, it appears he is tapping his head as if he is thinking of what to say, and voila, his words come out of his mouth in the language he has implanted. In this case, Arabic.

Initial test results indicate a 97.6% success rate on the battlefield and the nano-chip is already being used by many servicemen and women today. Now that the product has been tested and proven to be efficient in Arabic, a Mandarin Chinese model is being tested on businessmen from various industries who find it necessary to communicate in Chinese with their business counterparts in China. The NSL Chinese version should be available to the business world within two to 8-10 months.

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The Society of Neural Prosthetics “IMPLANT” and Whole Brain Emulation Science !

The Society of Neural Prosthetics and Whole Brain Emulation Science

What is mind uploading?

Mind uploading is a popular term for a process by which the mind, a collection of memories, personality, and attributes of a specific individual, is transferred from its original biological brain to an artificial computational substrate. Alternative terms for mind uploading have appeared in fiction and non-fiction, such as mind transfer, mind downloading, off-loading, side-loading, and several others. They all refer to the same general concept of “transferring” the mind to a different substrate.

Once it is possible to move a mind from one substrate to another, it is then called a substrate-independent mind (SIM). The concept of SIM is inspired by the idea of designing software that can run on multiple computers with different hardware without needing to be rewritten. For example, Java’s design principle “write once, run everywhere” makes it a platform independent system. In this context, substrate is a term referring to a generalized concept of any computational platform that is capable of universal computation.

We take the materialist position that the human mind is solely generated by the brain and is a function of neural states. Additionally, we assume that the neural states are computational processes and devices capable of universal computing are sufficient to generate the same kind of computational processes found in a brain.

Hacking The Brain !


Hacking The Brain !

Moon 101

The world is changing fast–maybe faster than we ever thought. And within five years, science fiction is going to turn into non-fiction. We’ll be able to read each other’s minds, forget all our passwords.

IBM  2012   5 IN 5

To understand the issue a little clearer, we will need to treat the human brain much like a computer with dedicated hardware. In this respect, what we are looking for is one, or more, security flaws that we can exploit. So, we have to come at this much like a hacker would.

We know from our previous articles that the brain emits weak radio frequencies in the sub-1000Hz range. The principles of radio tell us anything that can produce a radio signal, can also accept one. Thus, we have overcome our first major hurdle, the establishment of a physical transport layer. A physical transport layer allows for two-way communications.
Instant readers of th world

neuron nano 202

Given that we know that no information is directly encoded onto the radio waves, the frequencies are unique due to axon properties and the supply of energy will cause a neuron to fire, we have now established a data transport layer. That is, data is not communicated, it is stimulated in the target and the target experiences whatever that stimulation corresponds to.

If we return to our hacker analogy, what we have found is the human brain, whilst using a spread spectrum and a highly discreet frequency response to eliminate cross-talk, is unable to label information and determine that it has been processed before. In short, the human brain is vulnerable to what is known as a replay attack.

For those that have a deeper interest, or indeed are involved in Neuroscience, I have come across a scientific paper which should outline the principle in more scientific terms. The following paper, published in 1995, describes the electromagnetic induction of “fundamental algorithms”, or neural networks, to generate any sensory perception required. We will get to how this functions in a moment, for now, have a quick read:

On the possibility of directly accessing every human brain by electromagnetic induction of fundamental algorithms.

Persinger MA.

Behavioural Neuroscience Laboratory, Laurentian University, Sudbury, Ontario, Canada.

Abstract :

Contemporary neuroscience suggests the existence of fundamental algorithms by which all sensory transduction is translated into an intrinsic, brain-specific code. Direct stimulation of these codes within the human temporal or limbic cortices by applied electromagnetic patterns may require energy levels which are within the range of both geomagnetic activity and contemporary communication networks. A process which is coupled to the narrow band of brain temperature could allow all normal human brains to be affected by a subharmonic whose frequency range at about 10 Hz would only vary by 0.1 Hz.

mind to mind

I have provided two diagrams, on the right hand side, to explain how this functions. If we look at diagram two, we can observe how the neurons, when viewing green grass, emits a specific pattern of radio waves at certain frequencies. If we now look at diagram three, we can observe that transmitting this pattern and frequencies back to the brain will result in the target seeing green grass. Of course, there are certain limitations and we will discuss them in a moment.

As we can see, anything we can possibly experience can be reduced to certain patterns and frequencies emitted from the human brain. As such, any experience can be faked by a computer and sent to your brain. Thus, it is a matter of recognizing these patterns and frequencies and this brings us back to the first citation in this article.

As human beings, we all assume that we are unique and that should be the case with our brains. As much as we would wish this to be true, it is simply not. We all must perform the same functions and be wired relatively similarly to conduct those functions. The reason we can all, for the most part, see, touch, smell, hear and taste indicates that we have all have the same basic circuitry that allows these perceptions to function. With pattern matching and a large database we can build a library of thoughts, feelings, images, opinions and sounds that are generally applicable to anyone.

Thus, as the above citation calls it, we all have certain fundamental algorithms. As such, we all emit very similar patterns and frequencies due to this similar wiring. The slight variations that do occur, prevent us from emitting radio waves that would cause interference in all of our perceptions. If this we’re not the case, we would experience each others thoughts, vision, auditory and emotional experiences every minute of every day. Again, for our astute readers, this would indicate limited acts of natural telepathy due to wave propagation and frequency response. That, however, is a completely different story.

The limitation that I mentioned earlier are the result of actively processing input. That is, whilst I can put phosphenes or bright images in your vision, I may not be able to put more subtle or complex images. The problem is that the neurons are already firing and I have only two choices, interrupt or accelerate. That would usually translate to either darkness, or a bright spot. A similar issue exists with all sensory input. As a result, it is not possible to place someone into a VR type environment, but it is possible to scramble their inputs, causing wide spread malfunctions, hallucinations and loss of motor skills.

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The Dark Side

That’s pretty much it for the technical side of the mechanism, but the real question would be, what would it be like? Well, if I got you to think of the phrase “Hello World!” and recorded the associated frequencies and patterns, I could retransmit them and you would feel that you have just thought the words “Hello World!”, in your own inner voice. Unless you had extensive experience with the A.I. and a very deep understanding of your own mind, then it would be impossible to tell the difference.

Now, imagine a merger talks, or even political agreement. To get a person to commit to an agreement, I simply transmit a copy of my own feelings of acceptance to the target. They now feel the way you do about the agreement and will sign. It is also possible to block certain thoughts, or feelings of negativity, and even place your own counter-arguments to these thoughts directly into their mind. As far as the target is concerned, it was their own idea and they did it out of their own free will.

moon brain

Why debate when you can impose your will?

Sat Oct 9, 2010 2:48 PM EDT


The Neurophone

Although the offered explanations for “Hearing Voices” can include everything from trickery to hidden transmitters to tinnitus to psychic/haunting experiences to possession or encounters with God/aliens (to so – called schizophrenic episodes) by far the most common REAL reason is covert Neurophone harassment as arranged by government agencies and/or other criminals.

US Patent # 3,393,279. July 16th, 1968

US Patent # 3,647,970. March 7th, 1972

The Neurophone was developed by Dr Patrick Flanagan in 1958. It’s a device that converts sound to electrical impulses. In its original form electrodes were placed on the skin but with defence department developments, the signals can be delivered via satellite. They then travel the nervous system directly to the brain (bypassing normal hearing mechanisms). Dr Flanagan’s “3D holographic sound system” can place sounds in any location as perceived by the targeted / tortured listener. This allows for a variety of deceptions for gullible victims.

Today, the CIA, DIA (etc) use satellites and ground – based equipment to deliver verbal threats, deafening noise and propaganda; using neurophone technology. Anything from TV’s/radio’s appearing to operate when switched off through to “Voices from God” and encounters with “telepathic” aliens are all cons using neurophone technologies to torment, deceive and (most importantly) discredit agency/criminal targets. Naturally, the system can mimic anyone’s voice and automatic computer translations (into any language) are incorporated.

eye nano 101

Anecdotal evidence indicates that people like David Koresh, Martin Bryant and others could have been programmed then remotely triggered (or tricked) using harrassment technologies like the neurophone. (Although most of the targets are intelligent and law-abiding). For example, John Lennon’s killer, Mark Chapman, (Sweden) Anna Lind, Olof Palme, reportedly heard voices before and after silencing the agency-hounded peace advocate. “God” apparently told him to confess verbally.

To explain why others physically moving into the path of the laser do not pick up the signals, please note the following “possibilities”… a) Kirlean photography may be an ancillary system so it’s attuned to the targets personal energy field (their unique EM waves).

b) The magnetite in our brains can act as a detectable fingerprint.

c)Equally each of us has a unique bioelectrical resonance frequency in our brains. EMF Brain stimulation may be encoded so that pulsating EM signals sent to the targets brain cause audio-visual effects which only the target experiences. This, to me, is the best explanation.

d) The individuals “vibrational pattern” could be used as a signal filter like a radio receiving only the sound modulating the frequency of the station it’s tuned to.

e) The monitors simply adjust the volume downwards when you’re in a position where the signal could hit someone else’s body. Even if they heard it (briefly) they’d attribute it to another voice in the crowd etc.

As with the final proof, the definitive answer lies in the actual blueprints; secreted in the bowels of the Pentagon or some similar facility. Nonetheless, there is no report of ANY intercepted neurophone signals. If it wasn’t so effective it would not have been used to facilitate silent communications between U.S. government agents/Europ/military personnel.


Highlight of the website:

The Bulletin of the Atomic Scientists Op-Eds:

Outlaw nonconsensual human experiments now by Cheryl Welsh, published online June 2009 at

New article “Bioethics Commission Failed Obama’s Mandate in New Report” by Cheryl Welsh in The Daily Censored, an online news source in cooperation with Sonoma State University’s student-run Project Censored. See:

President Obama will act on the Presidential Bioethics Commission December 2011 report. Now is a unique time for public input. Human subject protections should include a U.S. rule or statute that requires informed consent in classified research.

Table of Contents

  1. Citations of Mind Justice
  2. Russian Research
  3. Experimentation Law
  4. Selected Projects by Mind Justice
  5. Research and Information
  6. Allegations by Targeted Individuals from Around the World
  7. Future Plans for Mind Justice

This is an extensive list of informational website relating to the crimes of organised, directed energy weapons, pyscho-electronic mind control, and related topics.

Posted 2 months, 1 week ago.

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The NSA / IBM – Behind The Curtain

world in my eyes

Mr Computer’s capabilities and human-like reasoning cannot be understated.

Read more:

Mon Jan 16, 2012 7:54 PM EST