Links for Keyword: Robotics

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Five men with complete motor paralysis were able to voluntarily generate step-like movements thanks to a new strategy that non-invasively delivers electrical stimulation to their spinal cords, according to a new study funded in part by the National Institutes of Health. The strategy, called transcutaneous stimulation, delivers electrical current to the spinal cord by way of electrodes strategically placed on the skin of the lower back. This expands to nine the number of completely paralyzed individuals who have achieved voluntary movement while receiving spinal stimulation, though this is the first time the stimulation was delivered non-invasively. Previously it was delivered via an electrical stimulation device surgically implanted on the spinal cord. In the study, the men’s movements occurred while their legs were suspended in braces that hung from the ceiling, allowing them to move freely without resistance from gravity. Movement in this environment is not comparable to walking; nevertheless, the results signal significant progress towards the eventual goal of developing a therapy for a wide range of individuals with spinal cord injury. “These encouraging results provide continued evidence that spinal cord injury may no longer mean a life-long sentence of paralysis and support the need for more research,” said Roderic Pettigrew, Ph.D., M.D., director of the National Institute of Biomedical Imaging and Bioengineering at NIH. “The potential to offer a life-changing therapy to patients without requiring surgery would be a major advance; it could greatly expand the number of individuals who might benefit from spinal stimulation. It’s a wonderful example of the power that comes from combining advances in basic biological research with technological innovation.”

Related chapters from BP7e: Chapter 11: Motor Control and Plasticity
Related chapters from MM:Chapter 5: The Sensorimotor System
Link ID: 21242 - Posted: 08.01.2015

Carl Zimmer A single neuron can’t do much on its own, but link billions of them together into a network and you’ve got a brain. But why stop there? In recent years, scientists have wondered what brains could do if they were linked together into even bigger networks. Miguel A. Nicolelis, director of the Center for Neuroengineering at Duke University, and his colleagues have now made the idea a bit more tangible by linking together animal brains with electrodes. In a pair of studies published on Thursday in the journal Scientific Reports, the researchers report that rats and monkeys can coordinate their brains to carry out such tasks as moving a simulated arm or recognizing simple patterns. In many of the trials, the networked animals performed better than individuals. “At least some times, more brains are better than one,” said Karen S. Rommelfanger, director of the Neuroethics Program at the Center for Ethics at Emory University, who was not involved in the study. Brain-networking research might someday allow people to join together in useful ways, Dr. Rommelfanger noted. Police officers might be able to make collective decisions on search-and-rescue missions. Surgeons might collectively operate on a single patient. But she also warned that brain networks could create a host of exotic ethical quandaries involving privacy and legal responsibility. If a brain network were to commit a crime, for example, who exactly would be guilty? © 2015 The New York Times Company

Related chapters from BP7e: Chapter 11: Motor Control and Plasticity
Related chapters from MM:Chapter 5: The Sensorimotor System
Link ID: 21160 - Posted: 07.11.2015

Computers built to mimic the brain can now recognise images, speech and even create art, and it’s all because they are learning from data we churn out online Do androids dream of electric squid? (Image: Reservoir Lab at Ghent University) I AM watching it have a very odd dream – psychedelic visions of brain tissue folds, interspersed with chunks of coral reef. The dreamer in question is an artificial intelligence, one that live-streams from a computer on the ground floor of the Technicum building in Ghent University, Belgium. This vision has been conjured up after a viewer in the chat sidebar suggests "brain coral" as a topic. It's a fun distraction – and thousands of people have logged on to watch. But beyond that, the bot is a visual demonstration of a technology that is finally coming of age: neural networks. The bot is called 317070, a name it shares with the Twitter handle of its creator, Ghent graduate student Jonas Degrave. It is based on a neural network that can recognise objects in images, except that Degrave runs it in reverse. Given static noise, it tweaks its output until it creates images that tally with what viewers are requesting online. The bot's live-stream page says it is "hallucinating", although Degrave says "imagining" is a little more accurate. Degrave's experiment plays off recent Google research which aimed to tackle one of the core issues with neural networks: that no one knows how neural networks come up with their answers. The images the network creates to satisfy simple instructions can give us some insights. © Copyright Reed Business Information Ltd

Related chapters from BP7e: Chapter 1: Biological Psychology: Scope and Outlook; Chapter 18: Attention and Higher Cognition
Related chapters from MM:Chapter 1: An Introduction to Brain and Behavior; Chapter 14: Attention and Consciousness
Link ID: 21149 - Posted: 07.09.2015

CONCORD, N.H. — Can an algorithm pass for an author? Can a robot rock the house? A series of contests at Dartmouth College is about to find out. Dartmouth is seeking artificial intelligence algorithms that create "human-quality" short stories, sonnets and dance music sets that will be pitted against human-produced literature, poetry and music selections. The judges won't know which is which. The goal is to determine whether people can distinguish between the two, and whether they might even prefer the computer-generated creativity. "Historically, often when we have advances in artificial intelligence, people will always say, 'Well, a computer couldn't paint a sunset,' or 'a computer couldn't write a beautiful love sonnet,' but could they? That's the question," said Dan Rockmore, director of the Neukom Institute for Computational Science at Dartmouth. Rockmore, a mathematics and computer science professor, spun off the idea for the contests from his experience riding a stationary bike. He started thinking about how the music being played during his spin class helped him pedal at the right the pace, and he was surprised when the instructor told him he selected the songs without the help of computer software. "I left there thinking, 'I wonder if I could write a program that did that, or somebody could?'" he said. "Because that is a creative act — a good spin instructor is a total artist. It sort of opened my mind to thinking about whether a computer or algorithm could produce something that was indistinguishable from or even perhaps preferred over what the human does." The competitions are variations of the "Turing Test," named for British computer scientist Alan Turing, who in 1950 proposed an experiment to determine if a computer could have humanlike intelligence. The classic Turing test involves intelligent computer programs that can fool a person carrying on a conversation with it, and there have been many competitions over the years, said Manuela Veloso, professor of computer science and robotics at Carnegie Mellon University and past president of the Association for the Advancement of Artificial Intelligence. © 2015 The New York Times Company

Related chapters from BP7e: Chapter 18: Attention and Higher Cognition
Related chapters from MM:Chapter 14: Attention and Consciousness
Link ID: 21135 - Posted: 07.06.2015

by Helen Thomson A brain implant that can decode what someone wants to do has allowed a man paralysed from the neck down to control a robotic arm with unprecedented fluidity – and enjoy a beer at his own pace. Erik Sorto was left unable to move any of his limbs after an accident severed his spinal cord 12 years ago. People with similar injuries have previously controlled prosthetic limbs using implants placed in their motor cortex – an area of the brain responsible for the mechanics of movement. This is far from ideal because it results in delayed, jerky motions as the person thinks about all the individual aspects of the movement. When reaching for a drink, for example, they would have to think about moving their arm forward, then left, then opening their hand, then closing their hand around the cup and so on. Richard Andersen at the California Institute of Technology in Pasadena and his colleagues hoped they could achieve a more fluid movement by placing an implant in the posterior parietal cortex – a part of the brain involved in planning motor movements. "We thought this would allow us to decode brain activity associated with the overall goal of a movement – for example, 'I want to pick up that cup', rather than the individual components," said Anderson at the NeuroGaming Conference in San Francisco, California, where he presented the work this month. © Copyright Reed Business Information Ltd.

Related chapters from BP7e: Chapter 11: Motor Control and Plasticity
Related chapters from MM:Chapter 5: The Sensorimotor System
Link ID: 20972 - Posted: 05.23.2015

I’m fairly new to San Francisco, so I’m still building my mental database of restaurants I like. But this weekend, I know exactly where I’m heading to for dinner: Nick’s Crispy Tacos. Then, when I get home, I’m kicking back to a documentary I’ve never heard of, a Mongolian drama called The Cave of the Yellow Dog. An artificially intelligent algorithm told me I’d enjoy both these things. I’d like the restaurant, the machine told me, because I prefer Mexican food and wine bars “with a casual atmosphere,” and the movie because “drama movies are in my digital DNA.” Besides, the title shows up around the web next to Boyhood, another film I like. Nara Logics, the company behind this algorithm, is the brainchild (pun intended) of its CTO and cofounder, Nathan Wilson, a former research scientist at MIT who holds a doctorate in brain and cognitive science. Wilson spent his academic career and early professional life immersed in studying neural networks—software that mimics how a human mind thinks and makes connections. Nara Logics’ brain-like platform, under development for the past five years, is the product of all that thinking.. The Cambridge, Massachusetts-based company includes on its board such bigwig neuroscientists as Sebastian Seung from Princeton, Mriganka Sur from MIT, and Emily Hueske of Harvard’s Center for Brain and Science. So what does all that neuroscience brain power have to offer the tech world, when so many Internet giants—from Google and Facebook to Microsoft and Baidu—already have specialized internal teams looking to push the boundaries of artificial intelligence? These behemoths use AI to bolster their online services, everything from on-the-fly translations to image recognition services. But to hear Wilson tell it, all that in-house work still leaves a large gap—namely, all the businesses and people who could benefit from access to an artificial brain but can’t build it themselves. “We’re building a pipeline, and taking insights out of the lab to intelligent, applied use cases,” Wilson tells WIRED. “Nara is AI for the people.”

Related chapters from BP7e: Chapter 1: Biological Psychology: Scope and Outlook
Related chapters from MM:Chapter 1: An Introduction to Brain and Behavior
Link ID: 20967 - Posted: 05.23.2015

by Jessica Hamzelou An exoskeleton that enables movement and provides tactile feedback has helped eight paralysed people regain sensation and move previously paralysed muscles "I FELT the ball!" yelled Juliano Pinto as he kicked off the Football World Cup in Brazil last year. Pinto, aged 29 at the time, lost the use of his lower body after a car accident in 2006. "It was the most moving moment," says Miguel Nicolelis at Duke University in North Carolina, head of the Walk Again Project, which developed the thought-controlled exoskeleton that enabled Pinto to make his kick. Since November 2013, Nicolelis and his team have been training Pinto and seven other people with similar injuries to use the exoskeleton – a robotic device that encases the limbs and converts brain signals into movement. The device also feeds sensory information to its wearer, which seems to have partially reawakened their nervous system. When Nicolelis reassessed his volunteers after a year of training, he found that all eight people had regained sensations and the ability to move muscles in their once-paralysed limbs. "Nobody expected it at all," says Nicolelis, who presented the results at the Brain Forum in Lausanne, Switzerland, on 31 March. "When we first saw the level of recovery, there was not a single person in the room with a dry eye." When a person's spinal cord is injured, the connection between body and brain can be damaged, leaving them unable to feel or move parts of their body. If a few spinal nerves remain, people can sometimes regain control over their limbs, although this can involve years of rehabilitation. © Copyright Reed Business Information Ltd.

Related chapters from BP7e: Chapter 11: Motor Control and Plasticity
Related chapters from MM:Chapter 5: The Sensorimotor System
Link ID: 20805 - Posted: 04.16.2015

|By Simon Makin People can control prosthetic limbs, computer programs and even remote-controlled helicopters with their mind, all by using brain-computer interfaces. What if we could harness this technology to control things happening inside our own body? A team of bioengineers in Switzerland has taken the first step toward this cyborglike setup by combining a brain-computer interface with a synthetic biological implant, allowing a genetic switch to be operated by brain activity. It is the world's first brain-gene interface. The group started with a typical brain-computer interface, an electrode cap that can register subjects' brain activity and transmit signals to another electronic device. In this case, the device is an electromagnetic field generator; different types of brain activity cause the field to vary in strength. The next step, however, is totally new—the experimenters used the electromagnetic field to trigger protein production within human cells in an implant in mice. The implant uses a cutting-edge technology known as optogenetics. The researchers inserted bacterial genes into human kidney cells, causing them to produce light-sensitive proteins. Then they bioengineered the cells so that stimulating them with light triggers a string of molecular reactions that ultimately produces a protein called secreted alkaline phosphatase (SEAP), which is easily detectable. They then placed the human cells plus an LED light into small plastic pouches and inserted them under the skin of several mice. © 2015 Scientific American

Related chapters from BP7e: Chapter 7: Life-Span Development of the Brain and Behavior; Chapter 3: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Related chapters from MM:Chapter 13: Memory, Learning, and Development; Chapter 3: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Link ID: 20770 - Posted: 04.08.2015

by Hal Hodson For a few days last summer, a handful of students walked through a park behind the University of Hannover in Germany. Each walked solo, but followed the same route as the others: made the same turns, walked the same distance. This was odd, because none of them knew where they were going. Instead, their steps were steered from a phone 10 paces behind them, which sent signals via bluetooth to electrodes attached to their legsMovie Camera. These stimulated the students' muscles, guiding their steps without any conscious effort. Max Pfeiffer of the University of Hannover was the driver. His project directs electrical currentMovie Camera into the students' sartorius, the longest muscle in the human body, which runs from the inside of the knee to the top of the outer thigh. When it contracts, it pulls the leg out and away from the body. To steer his test subjects left, Pfeiffer would zap their left sartorius, opening their gait and guiding them in that direction. Pfeiffer hopes his system will free people's minds up for other things as they navigate the world, allowing them to focus on their conversation or enjoy their surroundings. Tourists could keep their eyes on the sights while being imperceptibly guided around the city. Acceptance may be the biggest problem, although it is possible that the rise of wearable computing might help. Pfeiffer says the electrode's current causes a tingling sensation that diminishes the more someone uses the system. Volunteers said they were comfortable with the system taking control of their leg muscles, but only if they felt they could take control back. © Copyright Reed Business Information Ltd

Related chapters from BP7e: Chapter 11: Motor Control and Plasticity
Related chapters from MM:Chapter 5: The Sensorimotor System
Link ID: 20761 - Posted: 04.06.2015

Davide Castelvecchi Boots rigged with a simple spring-and-ratchet mechanism are the first devices that do not require power aids such as batteries to make walking more energy efficient. People walking in the boots expend 7% less energy than they do walking in normal shoes, the devices’ inventors report on 1 April in Nature1. That may not sound like much, but the mechanics of the human body have been shaped by millions of years of evolution, and some experts had doubted that there was room for further improvement in human locomotion, short of skating along on wheels. “It is the first paper of which I’m aware that demonstrates that a passive system can reduce energy expenditure during walking,” says Michael Goldfarb, a mechanical engineer at Vanderbilt University in Nashville, Tennessee, who develops exoskeletons for aiding people with disabilities. As early as the 1890s, inventors tried to boost the efficiency of walking by using devices such as rubber bands, says study co-author Gregory Sawicki, a biomedical engineer and locomotion physiologist at North Carolina State University in Raleigh. More recently, engineers have built unpowered exoskeletons that enable people to do tasks such as lifting heavier weights — but do not cut down the energy they expend. (Biomechanists still debate whether the running ‘blades’ made famous by South African sprinter Oscar Pistorius are more energetically efficient than human feet.2, 3) For their device, Sawicki and his colleagues built a mechanism that parallels human physiology. When a person swings a leg forward to walk, elastic energy is stored mostly in the Achilles tendon of their standing leg. That energy is released when the standing leg's foot pushes into the ground and the heel lifts off, propelling the body forwards. “There is basically a catapult in our ankle,” Sawicki says. © 2015 Nature Publishing Group

Related chapters from BP7e: Chapter 11: Motor Control and Plasticity
Related chapters from MM:Chapter 5: The Sensorimotor System
Link ID: 20750 - Posted: 04.02.2015

By Abby Phillip Jan Scheuermann, who has quadriplegia, brings a chocolate bar to her mouth using a robot arm guided by her thoughts. Research assistant Elke Brown watches in the background. (University of Pittsburgh Medical Center) Over at the Defense Advanced Research Projects Agency, also known as DARPA, there are some pretty amazing (and often top-secret) things going on. But one notable component of a DARPA project was revealed by a Defense Department official at a recent forum, and it is the stuff of science fiction movies. According to DARPA Director Arati Prabhakar, a paralyzed woman was successfully able use her thoughts to control an F-35 and a single-engine Cessna in a flight simulator. It's just the latest advance for one woman, 55-year-old Jan Scheuermann, who has been the subject of two years of groundbreaking neurosignaling research. First, Scheuermann began by controlling a robotic arm and accomplishing tasks such as feeding herself a bar of chocolate and giving high fives and thumbs ups. Then, researchers learned that -- surprisingly -- Scheuermann was able to control both right-hand and left-hand prosthetic arms with just the left motor cortex, which is typically responsible for controlling the right-hand side. After that, Scheuermann decided she was up for a new challenge, according to Prabhakar.

Related chapters from BP7e: Chapter 11: Motor Control and Plasticity
Related chapters from MM:Chapter 5: The Sensorimotor System
Link ID: 20647 - Posted: 03.04.2015

Elizabeth Gibney DeepMind, the Google-owned artificial-intelligence company, has revealed how it created a single computer algorithm that can learn how to play 49 different arcade games, including the 1970s classics Pong and Space Invaders. In more than half of those games, the computer became skilled enough to beat a professional human player. The algorithm — which has generated a buzz since publication of a preliminary version in 2013 (V. Mnih et al. Preprint at http://arxiv.org/abs/1312.5602; 2013) — is the first artificial-intelligence (AI) system that can learn a variety of tasks from scratch given only the same, minimal starting information. “The fact that you have one system that can learn several games, without any tweaking from game to game, is surprising and pretty impressive,” says Nathan Sprague, a machine-learning scientist at James Madison University in Harrisonburg, Virginia. DeepMind, which is based in London, says that the brain-inspired system could also provide insights into human intelligence. “Neuroscientists are studying intelligence and decision-making, and here’s a very clean test bed for those ideas,” says Demis Hassabis, co-founder of DeepMind. He and his colleagues describe the gaming algorithm in a paper published this week (V. Mnih et al. Nature 518, 529–533; 2015. Games are to AI researchers what fruit flies are to biology — a stripped-back system in which to test theories, says Richard Sutton, a computer scientist who studies reinforcement learning at the University of Alberta in Edmonton, Canada. “Understanding the mind is an incredibly difficult problem, but games allow you to break it down into parts that you can study,” he says. But so far, most human-beating computers — such as IBM’s Deep Blue, which beat chess world champion Garry Kasparov in 1997, and the recently unveiled algorithm that plays Texas Hold ’Em poker essentially perfectly (see Nature http://doi.org/2dw; 2015)—excel at only one game. © 2015 Nature Publishing Group

Related chapters from BP7e: Chapter 17: Learning and Memory; Chapter 18: Attention and Higher Cognition
Related chapters from MM:Chapter 13: Memory, Learning, and Development; Chapter 14: Attention and Consciousness
Link ID: 20626 - Posted: 02.27.2015

by Hal Hodson Video: Bionic arm trumps flesh after elective amputation Bionic hands are go. Three men with serious nerve damage had their hands amputated and replaced by prosthetic ones that they can control with their minds. The procedure, dubbed "bionic reconstruction", was carried out by Oskar Aszmann at the Medical University of Vienna, Austria. The men had all suffered accidents which damaged the brachial plexus – the bundle of nerve fibres that runs from the spine to the hand. Despite attempted repairs to those nerves, the arm and hand remained paralysed. "But still there are some nerve fibres present," says Aszmann. "The injury is so massive that there are only a few. This is just not enough to make the hand alive. They will never drive a hand, but they might drive a prosthetic hand." This approach works because the prosthetic hands come with their own power source. Aszmann's patients plug their hands in to charge every night. Relying on electricity from the grid to power the hand means all the muscles and nerves need do is send the right signals to a prosthetic. Before the operation, Aszmann's patients had to prepare their bodies and brains. First he transplanted leg muscle into their arms to boost the signal from the remaining nerve fibres. Three months later, after the nerves had grown into the new muscle, the men started training their brains. © Copyright Reed Business Information Ltd.

Related chapters from BP7e: Chapter 11: Motor Control and Plasticity
Related chapters from MM:Chapter 5: The Sensorimotor System
Link ID: 20617 - Posted: 02.26.2015

By NICK BILTON Ebola sounds like the stuff of nightmares. Bird flu and SARS also send shivers down my spine. But I’ll tell you what scares me most: artificial intelligence. The first three, with enough resources, humans can stop. The last, which humans are creating, could soon become unstoppable. Before we get into what could possibly go wrong, let me first explain what artificial intelligence is. Actually, skip that. I’ll let someone else explain it: Grab an iPhone and ask Siri about the weather or stocks. Or tell her “I’m drunk.” Her answers are artificially intelligent. Right now these artificially intelligent machines are pretty cute and innocent, but as they are given more power in society, these machines may not take long to spiral out of control. In the beginning, the glitches will be small but eventful. Maybe a rogue computer momentarily derails the stock market, causing billions in damage. Or a driverless car freezes on the highway because a software update goes awry. But the upheavals can escalate quickly and become scarier and even cataclysmic. Imagine how a medical robot, originally programmed to rid cancer, could conclude that the best way to obliterate cancer is to exterminate humans who are genetically prone to the disease. Nick Bostrom, author of the book “Superintelligence,” lays out a number of petrifying doomsday settings. One envisions self-replicating nanobots, which are microscopic robots designed to make copies of themselves. In a positive situation, these bots could fight diseases in the human body or eat radioactive material on the planet. But, Mr. Bostrom says, a “person of malicious intent in possession of this technology might cause the extinction of intelligent life on Earth.” © 2014 The New York Times Company

Related chapters from BP7e: Chapter 1: Biological Psychology: Scope and Outlook; Chapter 17: Learning and Memory
Related chapters from MM:Chapter 1: An Introduction to Brain and Behavior; Chapter 13: Memory, Learning, and Development
Link ID: 20283 - Posted: 11.06.2014

|By Sandra Upson Jan Scheuermann is not your average experimental subject. Diagnosed with spinocerebellar degeneration, she is only able to move her head and neck. The paralysis, which began creeping over her muscles in 1996, has been devastating in many ways. Yet two years ago she seized an opportunity to turn her personal liability into an extraordinary asset for neuroscience. In 2012 Scheuermann elected to undergo brain surgery to implant two arrays of electrodes on her motor cortex, a band of tissue on the surface of the brain. She did so as a volunteer in a multi-year study at the University of Pittsburgh to develop a better brain-computer interface. When she visits the lab, researchers hook up her brain to a robotic arm and hand, which she practices moving using her thoughts alone. The goal is to eventually allow other paralyzed individuals to regain function by wiring up their brains directly to a computer or prosthetic limb. The electrodes in her head record the firing patterns of about 150 of her neurons. Specific patterns of neuronal activity encode her desire to perform different movements, such as swinging the arm to the left or clasping the fingers around a cup. Two thick cables relay the data from her neurons to a computer, where software can identify Scheuermann’s intentions. The computer can then issue appropriate commands to move the robotic limb. On a typical workday, Jan Scheuermann arrives at the university around 9:15 am. Using her chin, she maneuvers her electric wheelchair into a research lab headed by neuroscientist Andrew Schwartz and settles in for a day of work. Scientific American Mind spoke to Scheuermann to learn more about her experience as a self-proclaimed “guinea pig extraordinaire.” © 2014 Scientific American,

Related chapters from BP7e: Chapter 11: Motor Control and Plasticity
Related chapters from MM:Chapter 5: The Sensorimotor System
Link ID: 20276 - Posted: 11.04.2014

Linda Carroll TODAY contributor For years Larry Hester lived in darkness, his sight stolen by a disease that destroyed the photoreceptor cells in his retinas. But last week, through the help of a “bionic eye,” Hester got a chance to once again glimpse a bit of the world around him. Video: Larry Hester has been without sight for decades, but with the help of a new tool called the "bionic eye," researchers at Duke University have found a way to restore some of his sight. Hester is the seventh patient to receive an FDA-approved device that translates video signals into data the optic nerve can process. The images Hester and others “see” will be far from full sight, but experts hope it will be enough to give a little more autonomy to those who had previously been completely blind. Hester’s doctors at Duke University Eye Center believe that as time goes on the 66-year-old tire salesman from Raleigh, N.C., will be able to “see” more and more. After only five days, there has been remarkable progress. “I hope that [after some practice] he will be able to do things he can’t do today: maybe walk around a little more independently, see doorways or the straight line of a curb. We don’t expect him to be able to make out figures on TV. But we hope he’ll be more visually connected.” said Dr. Paul Hahn, an assistant professor of ophthalmology at the university in Durham.

Related chapters from BP7e: Chapter 10: Vision: From Eye to Brain
Related chapters from MM:Chapter 7: Vision: From Eye to Brain
Link ID: 20261 - Posted: 11.01.2014

By JOHN MARKOFF STANFORD, Calif. — In factories and warehouses, robots routinely outdo humans in strength and precision. Artificial intelligence software can drive cars, beat grandmasters at chess and leave “Jeopardy!” champions in the dust. But machines still lack a critical element that will keep them from eclipsing most human capabilities anytime soon: a well-developed sense of touch. Consider Dr. Nikolas Blevins, a head and neck surgeon at Stanford Health Care who routinely performs ear operations requiring that he shave away bone deftly enough to leave an inner surface as thin as the membrane in an eggshell. Dr. Blevins is collaborating with the roboticists J. Kenneth Salisbury and Sonny Chan on designing software that will make it possible to rehearse these operations before performing them. The program blends X-ray and magnetic resonance imaging data to create a vivid three-dimensional model of the inner ear, allowing the surgeon to practice drilling away bone, to take a visual tour of the patient’s skull and to virtually “feel” subtle differences in cartilage, bone and soft tissue. Yet no matter how thorough or refined, the software provides only the roughest approximation of Dr. Blevins’s sensitive touch. “Being able to do virtual surgery, you really need to have haptics,” he said, referring to the technology that makes it possible to mimic the sensations of touch in a computer simulation. The software’s limitations typify those of robotics, in which researchers lag in designing machines to perform tasks that humans routinely do instinctively. Since the first robotic arm was designed at the Stanford Artificial Intelligence Laboratory in the 1960s, robots have learned to perform repetitive factory work, but they can barely open a door, pick themselves up if they fall, pull a coin out of a pocket or twirl a pencil. © 2014 The New York Times Company

Related chapters from BP7e: Chapter 11: Motor Control and Plasticity; Chapter 8: General Principles of Sensory Processing, Touch, and Pain
Related chapters from MM:Chapter 5: The Sensorimotor System; Chapter 5: The Sensorimotor System
Link ID: 20023 - Posted: 09.02.2014

By Rachel Feltman Bioengineers have created the most realistic fake brain tissue ever – and it’s built like a jelly doughnut. The 3-D tissue, described in a paper published Monday in Proceedings of the National Academy of Sciences, is so structurally similar to a real rat brain (a common substitute for human brains in the lab) that it could help scientists answer longstanding questions about brain injuries and disease. Currently, the best way to study brain tissue is to grow neurons in a petri dish, but those neurons can only be grown flat. A real brain contains a complicated structure of 3-D tissue. Simply giving the neurons room to grow in three dimensions didn’t prove successful: While neurons will grow into more complicated structures in the right kind of gel, they don’t survive very long or mimic the structure of a real brain. Led by David Kaplan, the director of the Tissue Engineering Resource Center at Tufts University, researchers developed a new combination of materials to mimic the gray and white matter of the brain. The new model relies on a doughnut-shaped, spongy scaffold made of silk proteins with a collagen-based gel at the center. The outer scaffold layer, which is filled with rat neurons, acts as the grey matter of the brain. As the neurons grew networks throughout the scaffold, they sent branches out across the gel-filled center to connect with neurons on the other side. And that configuration is about as brain-like as lab-grown tissue can get. The basic structure can be reconfigured, too.

Related chapters from BP7e: Chapter 7: Life-Span Development of the Brain and Behavior
Related chapters from MM:Chapter 13: Memory, Learning, and Development
Link ID: 19944 - Posted: 08.12.2014

by Aviva Rutkin What can the human brain do for a computer? There's at least one team of researchers that thinks it might have the answer. Working at IBM Research–Almaden in San Jose, California, they have just released more details of TrueNorth, a computer chip composed of one million digital "neurons". Under way for several years, the project abandons traditional computer architecture for one inspired by biological synapses and axons. The latest results, published in Science, provide a timely reminder of the promise of brain-inspired computing. The human brain still crushes any modern machines when it comes to tasks like vision or voice recognition. What's more, it manages to do so with less energy than it takes to power a light bulb. Building those qualities into a computer is an alluring prospect to many researchers, like Kwabena Boahen of Stanford University in California. "The first time I learned how computers worked, I thought it was ridiculous," he says. "I basically felt there had to be a better way." Aping the brain's structure could help us build computers that are far more powerful and efficient than today's, says TrueNorth team leader Dharmendra Modha. "We want to approximate the anatomy and physiology, the structure and dynamics of the brain, within today's silicon technology," he says. "I think that the chip and the associated ecosystem have the potential to transform science, technology, business, government and society." But how best to go about building a proper artificial brain is a matter of debate. © Copyright Reed Business Information Ltd

Related chapters from BP7e: Chapter 7: Life-Span Development of the Brain and Behavior
Related chapters from MM:Chapter 13: Memory, Learning, and Development
Link ID: 19932 - Posted: 08.09.2014

By Jim Tankersley COLUMBUS, Ohio — First they screwed the end of the gray cord into the metal silo rising out of Ian Burkhart’s skull. Later they laid his right forearm across two foam cylinders, and they wrapped it with thin strips that looked like film from an old home movie camera. They ran him through some practice drills, and then it was time for him to try. If he succeeded at this next task, it would be science fiction come true: His thoughts would bypass his broken spinal cord. With the help of an algorithm and some electrodes, he would move his once-dead limb again — a scientific first. “Ready?” the young engineer, Nick Annetta, asked from the computer to his left. “Three. Two. One.” Burkhart, 23, marshaled every neuron he could muster, and he thought about his hand. 1 of 14 The last time the hand obeyed him, it was 2010 and Burkhart was running into the Atlantic Ocean. The hand had gripped the steering wheel as he drove the van from Ohio University to North Carolina’s Outer Banks, where he and friends were celebrating the end of freshman year. The hand unclenched to drop his towel on the sand. Burkhart splashed into the waves, the hand flying above his head, the ocean warm around his feet, the sun roasting his arms, and he dived. In an instant, he felt nothing. Not his hand. Not his legs. Only the breeze drying the saltwater on his face.

Related chapters from BP7e: Chapter 11: Motor Control and Plasticity
Related chapters from MM:Chapter 5: The Sensorimotor System
Link ID: 19770 - Posted: 06.25.2014