Computers resembling neural systems . Scientists can make you lie using magnets. Hmm. So the magnetically influenced inhibition unit in Bender's brain has an analog in humans? TMS requires powerful magnetic fields (Between 1.5 to 2 Tesla. For comparison it took a magnetic field of 10 Tesla to levitate that frog we've all seen on the Web years ago. ) to work so, I wouldn't worry about people gluing refrigerator magnets to your head anytime soon. Refrigerator magnets are barely a 10,000th of that strength. Anyway, I think this needs more study to see if it's really true or not but, if it is. I find this development very disturbing. One can imaging a future were they strap interrogation victims into something very like an MRI rig.
Maybe they'll discover a way to magnetically force a human brain to be dangerously loquacious too? A change of heart: Penn researchers reprogram brain cells to become heart cells. Public release date: 8-Jul-2011 [ Print | E-mail Share ] [ Close Window ] Contact: Karen Kreegerkaren.kreeger@uphs.upenn.edu 215-349-5658University of Pennsylvania School of Medicine PHILADELPHIA - For the past decade, researchers have tried to reprogram the identity of all kinds of cell types. Heart cells are one of the most sought-after cells in regenerative medicine because researchers anticipate that they may help to repair injured hearts by replacing lost tissue.
James Eberwine, PhD, the Elmer Holmes Bobst Professor of Pharmacology, Tae Kyung Kim, PhD, post-doctoral fellow, and colleagues report their findings online this week in the Proceedings of the National Academy of Sciences. "What's new about this approach for heart-cell generation is that we directly converted one cell type to another using RNA, without an intermediate step," explains Eberwine. The team first extracted mRNA from a heart cell, then put it into host cells. . [ Print | E-mail AAAS and EurekAlert! Scientists discover how best to excite brain cells. ANN ARBOR, Mich. —Oh, the challenges of being a neuron, responsible for essential things like muscle contraction, gland secretion and sensitivity to touch, sound and light, yet constantly bombarded with signals from here, there and everywhere. How on earth are busy nerve cells supposed to pick out and respond to relevant signals amidst all that information overload? Somehow neurons do manage to accomplish the daunting task, and they do it with more finesse than anyone ever realized, new research by University of Michigan mathematician Daniel Forger and coauthors demonstrates.
Their findings—which not only add to basic knowledge about how neurons work, but also suggest ways of better designing the brain implants used to treat diseases such as Parkinson's disease—were published July 7 in the online, open-access journal PLoS Computational Biology. Among the key findings: Neurons are quite adept at their job. Related Links: Ming soon: The artificially intelligent machines that will argue back. By Lee Moran Updated: 07:27 GMT, 5 July 2011 It's a standard scenario across the world - the computer crashes and we scream exactly what we think at the flickering screen. But we may soon have to learn to bite our tongue - or risk the wrath of being shouted at by the machine we've just cursed. This is because scientists are building a voice-activated device that can interact with people in a 'natural and intelligent way'.
Artificial intelligence will help it become familiar with a user's voice, with the ultimate goal that it can understand, speak and behave like a human. Artificial intelligence: It may be a while until a fully fledged thinking robot is developed, but scientists are working on voice-activated technology which will allow machines to talk to its users The five-year, £6.2million project is still in its infancy but researchers from the Universities of Edinburgh, Cambridge and Sheffield believe the technology will have many benefits. Health : Breakthrough: sensors that can convert thoughts into speech. A mind reading machine has edged closer to reality after scientists found a way of converting thoughts into words.
Researchers were able to render brain signals into speech for the first time, relying on sensors attached to the brain surface. The breakthrough, which is up to 90 percent accurate, will be a boon for paralysed patients who cannot speak and could help read anyone’s thoughts ultimately, reports the Telegraph. “We were beside ourselves with excitement when it started working,” said Prof Bradley Greger, bioengineer at the Utah University who led the project. “It was just one of the moments when everything came together. “We have been able to decode spoken words using only signals from the brain with a device that has promise for long-term use in paralysed patients who cannot speak. I would call it brain reading and we hope that in two or three years it will be available for use for paralysed patients.” “This is proof of concept,” Prof.
Non-invasive brain implant could someday translate thoughts into movement. Photo provided by Euisik Yoon of University of MichiganANN ARBOR, Mich. —A brain implant developed at the University of Michigan uses the body's skin like a conductor to wirelessly transmit the brain's neural signals to control a computer, and may eventually be used to reactivate paralyzed limbs. The implant is called the BioBolt, and unlike other neural interface technologies that establish a connection from the brain to an external device such as a computer, it's minimally invasive and low power, said principal investigator Euisik Yoon, a professor in the U-M College of Engineering, Department of Electrical Engineering and Computer Science.
Currently, the skull must remain open while neural implants are in the head, which makes using them in a patient's daily life unrealistic, said Kensall Wise, the William Gould Dow Distinguished University professor emeritus in engineering. Related Links: Neural Networks Show Signs of Memory Formation. Investigators in the United States have taken another major step towards the development of advanced neural networks. They announce the creation of brain cell cultures in the lab, in which neurons can communicate with each other, and also display signs of memory formation. The ring-shaped networks are capable of allowing neurons to send electrical signals from one another, much like they would do in the human brain. This capability is essential for our thought patterns, movements and automated processes such as breathing and heart beat.
Researchers at the University of Pittsburgh are to praise for the creation of these networks, which also demonstrated abilities beyond what was expected of them. In a series of measurements, the experts determined that the cells within remain in a state of persistent activity. In the human brain, this type of state is associated with memory formation. The cells were put inside a culture, and were treated with a number of proteins. Mind-reading scan identifies simple thoughts - health - 26 May 2011. A new new brain imaging system that can identify a subject's simple thoughts may lead to clearer diagnoses for Alzheimer's disease or schizophrenia – as well as possibly paving the way for reading people's minds.
Michael Greicius at Stanford University in California and colleagues used functional magnetic resonance imaging (fMRI) to identify patterns of brain activity associated with different mental states. He asked 14 volunteers to do one of four tasks: sing songs silently to themselves; recall the events of the day; count backwards in threes; or simply relax. Participants were given a 10-minute period during which they had to do this. For the rest of that time they were free to think about whatever they liked. The participants' brains were scanned for the entire 10 minutes, and the patterns of connectivity associated with each task were teased out by computer algorithms that compared scans from several volunteers doing the same task. Read my mind Diagnostic test and adverts. Recommended by. Scottish scientists make 'mind-reading machine' breakthrough | Glasgow and West.
Scottish scientists have come a step closer to creating a "mind-reading machine" that can show mental images. A team from the University of Glasgow have successfully decoded brain signals related to vision. Six volunteers were shown images of people's faces displaying different emotions such as happiness, fear and surprise. In a series of trials, parts of the images were randomly covered so that, for example, only the eyes or mouth were visible. Participants were then asked to identify the emotion being displayed while electrodes attached to the scalp measured the volunteers' brainwaves. The scientists were able to show that brainwaves varied greatly according to which part of the face was being looked at. "Beta" waves, with a frequency of 12 hertz, carried information about the eyes, while four hertz "theta" waves were linked to the mouth.
Information was also encoded by the phase, or timing, of the brainwave, and less so by its amplitude, or strength. EmSense comes up with EmBand device to track your brainwaves as you watch TV. By Daily Mail Reporter Updated: 07:02 GMT, 18 April 2011 Would you feel comfortable if market researchers could know your every thought? A headband designed by San Francisco firm EmSense can sense your brainwaves as you have reactions to watching something and then record the data for researchers. The process of measuring your reaction to something is known as ‘quantitative neurometrics’ and it can be carried out as you watch a computer or television screen. Measuring reactions: The EmBand, designed by San Francisco firm EmSense, can sense your brainwaves as you have reactions to watching something The firm is launching its ‘in-home’ research panel employing the EmBand monitoring technology in an attempt to get better feedback on emotional responses.
The EmBand can also measure how much attention you are paying, or your ‘cognitive engagement’, by measuring brainwave activity, reported technology site Venture Beat. But the big difference with EmSense is that the test subjects are volunteers. How magnets affect the human brain. Neural Networks. Return to index Life Sciences Publications By Thomas Kromer Spatial Neural Networks Based on Fractal AlgorithmsBiomorph Nets of Nets of ... Thomas Kromer,Zentrum für Psychiatrie,Münsterklinik Zwiefalten ,G 1 . Abstract and Introduction :Biological central nervous systems with their massive parallel structures and recurrent projections show fractal characteristics in structural and functional parameters ( Babloyantz and Louren¸o 1994 ).
Julia sets and the Mandelbrot set are the well known classical fractals with all their harmony , deterministic chaos and beauty , generated by iterated non - linear functions .The according algorithms may be transposed , based on their geometrical interpretation , directly into the massive parallel structure of neural networks working on recurrent projections. Structural organization and functional properties of those networks , their ability to process data and correspondences to biological neural networks will be discussed . 2. 4 . 5 . 6. Intendix Brain Waves To Computer Interface. Brain controlled machine or computer? Intendix Brain-Computer Interface will let your convert your thought into computer system. In order to convert user’s brain wave, user must firstly wear the EEG cap that is connected to the attached PC.
It was developed to anticipate the patient with locked-in syndrome or other disabilities to communicate with other. After wearing the connected EEG cap, you will be able to write texts, or let the computer speak the written text, print out the text or simply want to make a copy of the text and convert it into an e-mail or send the text via email. With ease to operate interface, the manufacturer believe any users with basic computer skill would be able to run the device in 10-15 minutes.
Nerve-Electronic Hybrid Could Meld Mind and Machine | Wired Science. Nerve-cell tendrils readily thread their way through tiny semiconductor tubes, researchers find, forming a crisscrossed network like vines twining toward the sun. The discovery that offshoots from nascent mouse nerve cells explore the specially designed tubes could lead to tricks for studying nervous system diseases or testing the effects of potential drugs. Such a system may even bring researchers closer to brain-computer interfaces that seamlessly integrate artificial limbs or other prosthetic devices.
“This is quite innovative and interesting,” says nanomaterials expert Nicholas Kotov of the University of Michigan in Ann Arbor. “There is a great need for interfaces between electronic and neuronal tissues.” To lay the groundwork for a nerve-electronic hybrid, graduate student Minrui Yu of the University of Wisconsin–Madison and his colleagues created tubes of layered silicon and germanium, materials that could insulate electric signals sent by a nerve cell.
Images: Minrui Yu See Also: BrainGate neural interface system reaches 1,000-day performance milestone. An investigational implanted system being developed to translate brain signals toward control of assistive devices has allowed a woman with paralysis to accurately control a computer cursor at 2.7 years after implantation, providing a key demonstration that neural activity can be read out and converted into action for an unprecedented length of time. PROVIDENCE, R.I. [Brown University] — Demonstrating an important milestone for the longevity and utility of implanted brain-computer interfaces, a woman with tetraplegia using the investigational BrainGate* system continued to control a computer cursor accurately through neural activity alone more than 1,000 days after receiving the BrainGate implant, according to a team of physicians, scientists, and engineers developing and testing the technology at Brown University, the Providence VA Medical Center, and Massachusetts General Hospital (MGH).
From fundamental neuroscience to clinical utility Moving forward About the BrainGate collaboration. Machine-Brain Connections | Science News| Discover Magazine. Brain wave function. Robot with a rat brain. Future Current » Blog Archive » The Nature of Self-Improving Artificial Intelligence. Stephen Omohundro has had a wide-ranging career as a scientist, university professor, author, software architect, and entrepreneur. At the 2007 Singularity Summit hosted by the Singularity Institute for Artificial Intelligence, he asked whether we can design intelligent systems that embody our values, even after many generations of self-improvement. His talk demonstrates that self-improving systems will converge on a cognitive architecture first described in von Neumann‘s work on the foundations of microeconomics. He shows that these systems will have drives toward efficiency, self-preservation, acquisition, and creativity, and that these are likely to lead to both desirable and undesirable behaviors unless we design them with great care.
The following transcript of Stephen Omohundro’s 2007 Singularity Summit presentation “The Nature of Self-Improving Artificial Intelligence” has been edited for clarity by the author. The Nature of Self-Improving Artificial Intelligence. Nanotechnology electronic noses. Intendix Brain Waves To Computer Interface. The 'thinking cap' that could unlock your inner genius and boost creativity. Encyclopedia. Office for the development of Substitute Materials* Neural_Network_II_bigger.jpg (JPEG Image, 420x315 pixels) Complex_neural_network.gif (GIF Image, 655x492 pixels) Neural-network-model.jpg (JPEG Image, 1024x681 pixels)
Stuttgart Neural Network Simulator. Neural Networks. How DARPA Is Making a Machine Mind out of Memristors. Kirchhoff-Lukasiewicz Machines. Project Natal: Milo - Virtual Human XBox 360. Computer derives natural laws. New Brain-Machine Interface Taps Human Smarts to Enhance Computers' Abilities, Instead of Vice Versa.