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Image credit: iDigitalTrends
Image credit: iDigitalTrends

While the “Ice Bucket Challenge” raised millions to fuel research toward a cure for
amyotrophic lateral sclerosis (ALS), there are a number of assistive technologies already at work to help those currently affected by the disease. According to Alisa Brownlee, a clinical manager for the ALS Association, more assistive technologies and brain-computer-interfaces are on the way. At present, the largest hurdle is access.

Brownlee noted that the loss of communication is often the hardest part of ALS for someone to endure. As ALS is a progressive disease, there are several forms of assistive technology that are used based on a given patient’s physical status. Each form of that technology will work for awhile, but then patients will have to move on to something else as the disease progresses, she says.

Using computer access as one way to help maintain an ALS patient’s communication skills, ALS patients can transition to a track-ball mouse and on-screen keyboard in lieu of a standard computer mouse. From there, a person can use a head-mount, eye-gaze system, and even a tablet computer with a switch scanner.

“It depends on which type of device the individual wants and their physical limitations when we are getting involved with them. They can go from the very simple to the very complex,” Brownlee said. “Technology is wonderful, but it’s not for everyone. So it’s important to involve the person, understand their personality and understand their coping mechanism dealing with the loss of communication.”

While it’s a significant improvement over what was available 10 or 20 years ago, this assistive technology has its limitations, Brownlee said. A system which requires the user to dwell over a letter to type, such as a head mouse, is pretty much limited to five to seven words a minute, which can be frustrating when the average adult speaks about 150 to 200 words a minute. Further, eye-gaze systems can’t be used in natural light by those with underlying eye issues, such as users with tri-focals, torn retinas, or pupils that are too dark; plus, they can be difficult to calibrate.

“That’s the one thing I hear from our caregivers all the time, ‘Hey we can’t get the thing to calibrate!’” she said. “It has to be 23 inches away from the user and, if your positioning is anything less than that, it gets real difficult. It’s just real frustrating.”

Looking to the future of assistive technologies, wearable technology such as Google Glass is already showing great promise in helping those with ALS and other disabilities communicate, Brownlee said. The Google Glass headset is easy to calibrate, can be used in any light, and can be accessed by its user whether they’re sitting up or laying in bed, she said.

Costing a fraction of a standard $15,000 eye-gaze system, Google Glass is more affordable option, Brownlee added. Though there are still some user interface problems that need to be addressed, new applications to make Google Glass even more accessible to those with disabilities are in the works..

“A colleague of mine is working on how to drive a powered wheelchair through Google Glass. Because ALS is a progressive disease, we have a lot of people who can not drive their wheelchairs anymore because they’ve lost the function in their hands,” Brownlee said. “If this comes to fruition, you could be able to drive your wheelchair through Glass. And this could open up a whole world for many people with disabilities. It could also make a huge financial burden much easier, so people with disabilities could afford technology, because right now, it’s unaffordable.”

Controlling the brain, consciousness and the unconscious through artificial means has long been a staple plot of science fiction. Yet history has a way of proving the fictional to end up as possible, and the future of brain-machine interface appears to hold greater promise than ever before.

Image Credit: Society for Neuroscience (SFN)
Image Credit: Society for Neuroscience (SFN)

According to Neuroscience Researcher, Yale University Fellow, and the Director of Yale’s Clinical Neuroscience Imaging Center, Dr. Hal Blumenfeld, we can now therapeutically (and safely) go inside the brain. As he reflected on the recent advances in neuroscience, Blumenfeld cited the progress that’s been made in the last decade in understanding the relationship between brain activity and conscious thought as one of the biggest breakthroughs. The ability to find the switch in the brain that regulates consciousness, and turn it on and off, is a major step toward the treatment of epilepsy, brain injuries and more, and could have a profound effect on mankind, he said.

“I think the exciting advances are really looking in the network approach to understanding the brain, looking at the brain as a network, and understanding that, for something as wide reaching as consciousness to happen, you really need the whole brain network or most of the brain,” Blumenfeld said. “There’s a switch deep in the middle of the brain that can either be turned on or off. When that gets turned on, the whole rest of the brain network, including the cortex, all start to interact and create consciousness. When that switch gets flipped off, consciousness is turned down and we lose consciousness.”

While it sounds like a simple on/off operation, Blumenfeld noted that it’s not a smooth, linear process and that the different states of consciousness are subject to big jumps and rapid changes in the transition. Where researchers have made the biggest leaps, he said, is in gaining an understanding of those transitions and interactions throughout the entire network of the brain and how they regulate the level of arousal, attention and awareness.

Going forward, these breakthroughs could have a major effect in managing epileptic seizures, Blumenfeld said. While an epileptic seizure usually only affects one part of the brain, the seizure itself also flips that consciousness on/off switch to off. Avoiding that loss of consciousness during a seizure, he said, can also make the effects of the seizure milder and by extension, help improve the quality of life for those who suffer from epilepsy.

“The technology for deep brain stimulation has progressed fantastically in recent years, and it’s already being done for movement disorders, epilepsy and for chronic pain. (We have the technology to) safely implant in people’s brains a stimulator, like a pacemaker or a defibrillator, that detects when a seizure is happening and starts a stimulus,” Blumenfeld said. “Medicines and deep brain stimulation are not going to cure everyone of their seizures but, what this tells us is, there is another whole strategy we can take. Even if we can’t stop the seizures, if we can flip that switch back on so people will regain their consciousness during and after the seizure, they’ll be much better off.”

Beyond epilepsy, these new approaches in treatment can also be applied to those in a coma, those in a chronic vegetative state, and other disorders of consciousness, Blumenfeld said. These aren’t the only maladies being researched for brain stimulation. The use of optogenetics is also currently being studied for use in therapy and other brain disorders, he added. Ed Boyden and the Synthetic Neurobiology Group at MIT are hard at work in this domain of research.

“I think optogenetics is tremendously exciting and will continue to grow. There are a lot of challenges to implementing it in humans and safely carrying it out, but the promise is there,” Blumenfeld said. “It has a much more selective mode of action with individual neurons and I believe that eventually, we’ll be able to use that too (in our research). It will just take a bit more time until we get to that point.”

Looking forward, Blumenfeld noted that the potential future applications of BMI and brain stimulation could one day expand to attention disorders and even the modulation of human emotion. However, owing to the ethical questions that will certainly arise, he feels a priority should remain on developing further treatments or therapies for those who need it the most.

“First and foremost, we’ve got to look at the benefits we’re talking about, for people who are really suffering and really have tremendously impacted quality of life because of unpredictable-at-any-time-losing consciousness due to seizure, not being able to drive or, worse, people who are in a vegetative state. I think these are very promising therapies,” Blumenfeld said. “While scientists and human beings always have to consider the implications of them being used inappropriately, I think that doesn’t diminish from the importance of moving forward and developing these treatments so that they can be used for the people who need them the most.”

“The detector could help to clear up some mysteries. In 2013, the AMS announced it had seen hints of dark matter but so far it has detected too few high-energy particles to say for sure. Though DAMPE lacks the equipment to resolve the conundrum directly, it could reveal if the signal is caused by a different astrophysical source, such as pulsars, says Capell.

Although it will collect fewer incoming photons, DAMPE is better at pinpointing their energy than are existing γ-ray telescopes, such as NASA’s Fermi-LAT, says Miguel Sanchez-Conde, a physicist at the Oskar Klein Centre for Cosmoparticle Physics in Stockholm. This capability should allow DAMPE to see sharp spikes in radiation predicted by some dark-matter models.”

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In spite of the popular perception of the state of artificial intelligence, technology has yet to create a robot with the same instincts and adaptability as a human. While humans are born with some natural instincts that have evolved over millions of years, Neuroscientist and Artificial Intelligence Expert Dr. Danko Nikolic believes these same tendencies can be instilled in a robot.

“Our biological children are born with a set of knowledge. They know where to learn, they know where to pay attention. Robots simply can not do that,” Nikolic said. “The problem is you can not program it. There’s a trick we can use called AI Kindergarten. Then we can basically interact with this robot kind of like we do with children in kindergarten, but then make robots learn one level lower, at the level of something called machine genome.”

Programming that machine genome would require all of the innate human knowledge that’s evolved over thousands of years, Nikolic said. Lacking that ability, he said researchers are starting from scratch. While this form of artificial intelligence is still in its embryonic state, it does have some evolutionary advantages that humans didn’t have.

“By using AI Kindergarten, we don’t have to repeat the evolution exactly the way evolution has done it,” Nikolic said. “This experiment has been done already and the knowledge is already stored in our genes, so we can accelerate tremendously. We can skip millions of failed experiments where evolution has failed already.”

Rather than jumping into logic or facial recognition, researchers must still begin with simple things, like basic reflexes and build on top of that, Nikolic said. From there, we can only hope to come close to the intelligence of an insect or small bird.

“I think we can develop robots that would be very much biological, like robots, and they would behave as some kind of lower level intelligence animal, like a cockroach or lesser intelligent birds,” he said. “(The robots) would behave the way (animals) do and they would solve problems the way they do. It would have the flexibility and adaptability that they have and that’s much, much more than what we have today.”

As that machine genome continues to evolve, Nikolic compared the potential manipulation of that genome to the selective breeding that ultimately evolved ferocious wolves into friendly dogs. The results of robotic evolution will be equally benign, and he believes, any attempts to develop so-called “killer robots” won’t happen overnight. Just as it takes roughly 20 years for a child to fully develop into an adult, Nikolic sees an equally long process for artificial intelligence to evolve.

Nikolic cited similar attempts in the past where the manipulation of the genome of biological systems produced a very benign result. Further, he doesn’t foresee researchers creating something dangerous, and given his theory that AI could develops from a core genome, then it would be next to impossible to change the genome of a machine or of a biological system by just changing a few parts.

Going forward, Nikolic still sees a need for caution. Building some form of malevolent artificial intelligence is possible, he said, but the degree of difficulty still makes it unlikely.

“We can not change the genome of machine or human simply by changing a few parts and then having the thing work as we want. Making it mean is much more difficult than developing a nuclear weapon,” Nikolic said. “I think we have things to watch out for, and there should be regulation, but I don’t think this is a place for some major fear… there is no big risk. What we will end up with, I believe, will be a very friendly AI that will care for humans and serve humans and that’s all we will ever use.”