Robot Technology News  
ROBO SPACE
Amputees can learn to control a robotic arm with their minds
by Staff Writers
Chicago IL (SPX) Nov 29, 2017


Monkeys were trained to use their thoughts to move a robotic arm and grasp a ball.

A new study by neuroscientists at the University of Chicago shows how amputees can learn to control a robotic arm through electrodes implanted in the brain.

The research, published in Nature Communications, details changes that take place in both sides of the brain used to control the amputated limb and the remaining, intact limb. The results show both areas can create new connections to learn how to control the device, even several years after an amputation.

"That's the novel aspect to this study, seeing that chronic, long-term amputees can learn to control a robotic limb," said Nicho Hatsopoulos, PhD, professor of organismal biology and anatomy at UChicago and senior author of the study.

"But what was also interesting was the brain's plasticity over long-term exposure, and seeing what happened to the connectivity of the network as they learned to control the device."

Previous experiments have shown how paralyzed human patients can move robotic limbs through a brain machine interface. The new study is one of the first to test the viability of these devices in amputees as well.

The researchers worked with three rhesus monkeys who suffered injuries at a young age and had to have an arm amputated to rescue them four, nine and 10 years ago, respectively. Their limbs were not amputated for the purposes of the study.

In two of the animals, the researchers implanted electrode arrays in the side of the brain opposite, or contralateral, to the amputated limb. This is the side that used to control the amputated limb. In the third animal, the electrodes were implanted on the same side, or ipsilateral, to the amputated limb. This is the side that still controlled the intact limb.

The monkeys were then trained (with generous helpings of juice) to move a robotic arm and grasp a ball using only their thoughts. The scientists recorded the activity of neurons where the electrodes were placed, and used a statistical model to calculate how the neurons were connected to each other before the experiments, during training and once the monkeys mastered the activity.

The connections between neurons on the contralateral side - the side that had been controlling the amputated arm - were sparse before the training, most likely because they had not been used for that function in a long time. But as training progressed, these connections became more robust and dense in areas used for both reaching and grasping.

On the ipsilateral side - the side that had been controlling the monkey's intact arm - the connections were dense at the beginning of the experiments. But the researchers saw something interesting as training progressed: first the connections were pruned and the networks thinned, before rebuilding into a new, dense network.

"That means connections were shedding off as the animal was trying to learn a new task, because there is already a network controlling some other behavior," said Karthikeyan Balasubramanian, PhD, a postdoctoral researcher who led the study. "But after a few days it started rebuilding into a new network that can control both the intact limb and the neuroprosthetic."

Now the team plans to continue their work by combining it with research by other groups to equip neuroprosthetic limbs with sensory feedback about touch and proprioception, which is the sense of where the limb is located in space.

"That's how we can begin to create truly responsive neuroprosthetic limbs, when people can both move it and get natural sensations through the brain machine interface," Hatsopoulos said.

Research Report: "Changes in Cortical Network Connectivity with Long-term Brain-Machine Interface Exposure after Chronic Amputation,"

ROBO SPACE
Facebook trains artificial intelligence to spot suicidal signs
San Francisco (AFP) Nov 27, 2017
Facebook on Monday said stepping up the use of artificial intelligence to identify members of the leading social network who may be thinking of suicide. Software will look for clues in posts or even in videos being streamed at Facebook Live, then fire off reports to human reviewers and speed up alerts to responders trained to help, according to the social network. "This approach uses pat ... read more

Related Links
University of Chicago Medical Center
All about the robots on Earth and beyond!


Thanks for being here;
We need your help. The SpaceDaily news network continues to grow but revenues have never been harder to maintain.

With the rise of Ad Blockers, and Facebook - our traditional revenue sources via quality network advertising continues to decline. And unlike so many other news sites, we don't have a paywall - with those annoying usernames and passwords.

Our news coverage takes time and effort to publish 365 days a year.

If you find our news sites informative and useful then please consider becoming a regular supporter or for now make a one off contribution.
SpaceDaily Contributor
$5 Billed Once


credit card or paypal
SpaceDaily Monthly Supporter
$5 Billed Monthly


paypal only


Comment using your Disqus, Facebook, Google or Twitter login.

Share this article via these popular social media networks
del.icio.usdel.icio.us DiggDigg RedditReddit GoogleGoogle

ROBO SPACE
Crossing drones with satellites: ESA eyes high-altitude aerial platforms

Drone photos offer faster, cheaper data on key Antarctic species

Drone Race: Human Versus Artificial Intelligence

Pentagon steps up Somalia drone strikes

ROBO SPACE
Quantum optics allows us to abandon expensive lasers in spectroscopy

Spin current from heat: New material increases efficiency

New catalyst controls activation of a carbon-hydrogen bond

Math gets real in strong, lightweight structures

ROBO SPACE
Quantum simulators wield control over more than 50 qubits, setting new record

Argonne to install Comanche system to explore ARM technology for HPC

Strain-free epitaxy of germanium film on mica

Microwave-based test method can help keep 3-D chip designers' eyes open

ROBO SPACE
For Gabon's sickly uranium miners, a long quest for compensation

Belarus nuclear power plant stirs fears in Lithuania

Lightbridge and AREVA NP Sign Agreements to Immediately Advance Fuel Development

UK made grave errors over Hinkley nuclear project: MPs

ROBO SPACE
Argentine court sentences 48 in 'Dirty War' trial

US coalition conduct 11 strikes on ISIS over Thanksgiving weekend

Egypt mourns 235 victims of Sinai mosque attack

Saudi vows new Islamic alliance 'will wipe terrorists from the earth'

ROBO SPACE
Improving sensor accuracy to prevent electrical grid overload

Japan faces challenges in cutting CO2, Moody's finds

IEA: An electrified world would cost $31B per year to achieve

'Fuel-secure' steps in Washington counterintuitive, green group says

ROBO SPACE
New computational method provides optimized design of wind up toys

Statoil: Batteries can address wind power variability

Musk beats deadline for building world's biggest battery

Musk's record-breaking battery officially launches in Australia

ROBO SPACE
Nation 'leads world' in remote sensing technology

China plans for nuclear-powered interplanetary capacity by 2040

China plans first sea based launch by 2018

China's reusable spacecraft to be launched in 2020









The content herein, unless otherwise known to be public domain, are Copyright 1995-2024 - Space Media Network. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. AFP, UPI and IANS news wire stories are copyright Agence France-Presse, United Press International and Indo-Asia News Service. ESA news reports are copyright European Space Agency. All NASA sourced material is public domain. Additional copyrights may apply in whole or part to other bona fide parties. All articles labeled "by Staff Writers" include reports supplied to Space Media Network by industry news wires, PR agencies, corporate press officers and the like. Such articles are individually curated and edited by Space Media Network staff on the basis of the report's information value to our industry and professional readership. Advertising does not imply endorsement, agreement or approval of any opinions, statements or information provided by Space Media Network on any Web page published or hosted by Space Media Network. General Data Protection Regulation (GDPR) Statement Our advertisers use various cookies and the like to deliver the best ad banner available at one time. All network advertising suppliers have GDPR policies (Legitimate Interest) that conform with EU regulations for data collection. By using our websites you consent to cookie based advertising. If you do not agree with this then you must stop using the websites from May 25, 2018. Privacy Statement. Additional information can be found here at About Us.