Neural Interfaces

Neural Interfaces News -- ScienceDaily Read amazing research on neural interfaces, brain-controlled robotic devices, microchips that mimic the brain and more.

  • Brain-like computers moving closer to cracking codes
    on March 21, 2018 at 9:40 pm

    Scientists have discovered a way to leverage emerging brain-like computer architectures for an age-old number-theoretic problem known as integer factorization. […]

  • Illusory motion reproduced by deep neural networks trained for prediction
    on March 20, 2018 at 2:08 pm

    Deep neural networks (DNNs), which have been developed with reference to the network structures and the operational algorithms of the brain, have achieved notable success in a broad range of fields, including computer vision, in which they have produced results comparable to, and in some cases superior to, human experts. In recent years, DNNs have also been expected to be useful as a tool for studies of the brain. […]

  • New method manages and stores data from millions of nerve cells -- in real time
    on March 19, 2018 at 4:05 pm

    Recent developments in neuroscience set high requirements for sophisticated data management, not least when implantable Brain Machine Interfaces are used to establish electronic communication between the brain's nerve cells and computers. A new method makes it possible to recode neural signals into a format that computer processors can use instantly. […]

  • Algorithm for large-scale brain simulations
    on March 5, 2018 at 6:03 pm

    Researchers have made a decisive step towards being able to simulate brain-scale networks on future supercomputers of the exascale class. The breakthrough algorithm allows larger parts of the human brain to be represented, using the same amount of computer memory. Simultaneously, the new algorithm significantly speeds up brain simulations on existing supercomputers. […]

  • Capturing brain signals with soft electronics
    on March 5, 2018 at 2:35 pm

    Scientists have developed new technology for long-term stable neural recording. It is based on a novel elastic material composite, which is biocompatible and retains high electrical conductivity even when stretched to double its original length. […]

  • Neural networks everywhere
    on February 14, 2018 at 7:58 pm

    Special-purpose chip that performs some simple, analog computations in memory reduces the energy consumption of binary-weight neural networks by up to 95 percent while speeding them up as much as sevenfold. […]

  • Worm 'uploaded' to computer and taught amazing tricks
    on February 6, 2018 at 3:58 pm

    The tiny worm C. elegans is the only living being whose neural network has been analyzed completely. It can therefore be transferred to a computer, creating a virtual copy of the worm which behaves in exactly the same way to external stimuli. Such a 'virtual worm' can learn amazing tricks -- its neural network can even be used to balance a pole, which is a standard control problem in computer science. […]

  • The virtual brain: Patient data allow researchers to study brain function using detailed
    on February 1, 2018 at 4:57 pm

    Using patient measurement data, researchers have succeeded in further refining the brain modeling platform 'The Virtual Brain'. The software, which has been downloaded almost 11,000 times to date, has been used in projects and publications across the globe. […]

  • BA or DA? Decoding syllables to show the limits of artificial intelligence
    on January 31, 2018 at 2:55 pm

    By recording brain activity during a simple task, neuroscientists show that the brain does not necessarily use the regions of the brain identified by machine learning to perform a task. Above all, these regions reflect the mental associations related to this task. While machine learning is thus effective for decoding mental activity, it is not necessarily effective for understanding the specific information processing mechanisms in the brain. […]

  • Feedback enhances brainwave control of a novel hand-exoskeleton
    on January 22, 2018 at 8:08 pm

    Scientists are developing a lightweight and portable hand exoskeleton that can be controlled with brainwaves. The device enhances performance of brain-machine interfaces and can restore functional grasps for the physically impaired. […]

  • Your brain responses to music reveal if you're a musician or not
    on January 22, 2018 at 4:12 pm

    How your brain responds to music listening can reveal whether you have received musical training, according to new research. By applying methods of computational music analysis and machine learning on brain imaging data collected during music listening, the researchers we able to predict with a significant accuracy whether the listeners were musicians or not. […]

  • New metal-semiconductor interface for brain-inspired computing
    on January 22, 2018 at 2:13 pm

    One of the big challenges in computer architecture is integrating storage, memory and processing in one unit. This would make computers faster and more energy efficient. Physicists have taken a big step towards this goal by combining a niobium doped strontium titanate (SrTiO3) semiconductor with ferromagnetic cobalt. At the interface, this creates a spin-memristor with storage abilities, paving the way for neuromorphic computing architectures. […]

  • Potential brain-machine interface for hand paralysis
    on January 15, 2018 at 8:16 pm

    A brain-machine interface that combines brain stimulation with a robotic device controlling hand movement increases the output of pathways connecting the brain and spinal cord, according to a study of healthy adults. This work could have implications for restoring function in stroke patients with hand paralysis. […]

  • Making the internet of things possible with a new breed of 'memristors'
    on January 10, 2018 at 4:29 pm

    Easily printable, organic thin films can retain data for more than 10 years without power, work with low voltages -- and become the building block of future computers that mimic the human brain. […]

  • Uneasiness in observers of unnatural android movements explained
    on January 9, 2018 at 3:28 pm

    When the human-likeness of androids exceeds a certain threshold, the human's affinity for them decreases and an uncanny feeling about them increases. This effect, however, has been relatively unexplored. Osaka University-centered researchers recently found the visual observation of the android, compared with that of the human model, caused greater activation in the subthalamic nucleus, a brain region also involved in the pathology of Parkinson's disease. The findings further contribute to the knowledge needed to design androids with more natural movements. […]

  • Researchers use WWII code-breaking techniques to interpret brain data
    on December 13, 2017 at 5:47 pm

    A team of researchers has used cryptographic techniques to decode the activity of motor neurons. Their approach has allowed them to predict, from brain data, and with only generic knowledge of typical movements, which direction monkeys will move their arms. […]

  • The force is strong: Amputee controls individual prosthetic fingers
    on December 11, 2017 at 8:16 pm

    Luke Skywalker's bionic hand is a step closer to reality for amputees in this galaxy. Researchers have created an ultrasonic sensor that allows amputees to control each of their prosthetic fingers individually. It provides fine motor hand gestures that aren't possible with current commercially available devices. […]

  • Advances to brain-interface technology provide clearer insight into visual system
    on December 4, 2017 at 3:53 pm

    Engineers and cognitive neuroscientists have demonstrated that a new high-density EEG can capture the brain's neural activity at a higher spatial resolution than ever before. This next-generation brain-interface technology is the first noninvasive, high-resolution system of its kind, providing higher density and coverage than any existing system. It has the potential to revolutionize future clinical and neuroscience research as well as brain-computer interfaces. […]

  • Amputees can learn to control a robotic arm with their minds
    on November 27, 2017 at 6:58 pm

    Neuroscientists have shown how amputees can learn to control a robotic arm through electrodes implanted in the brain. The research 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. […]

  • New way to write magnetic info could pave the way for hardware neural networks
    on November 20, 2017 at 7:15 pm

    Researchers have shown how to write any magnetic pattern desired onto nanowires, which could help computers mimic how the brain processes information. […]

  • Bioengineered robotic hand with its own nervous system will sense touch
    on November 14, 2017 at 2:20 pm

    Researchers are developing a first-of-its-kind bioengineered robotic hand that will actually feel and adapt to its environment. This “living” robot will have its own peripheral nervous system directly linking robotic sensors and actuators. […]

  • How the brain beats distractions to retain memories
    on October 31, 2017 at 2:18 pm

    Researchers have recently discovered a mechanism that could explain how the brain retains working memory when faced with distractions. These findings could endow cognitive flexibility to neural networks used for artificial intelligence. […]

  • Advanced artificial limbs mapped in the brain
    on October 27, 2017 at 1:44 pm

    Scientists have used functional MRI to show how the brain re-maps motor and sensory pathways following targeted motor and sensory reinnervation (TMSR), a neuroprosthetic approach where residual limb nerves are rerouted towards intact muscles and skin regions to control a robotic limb. […]

  • Artificial intelligence to evaluate brain maturity of preterm infants
    on October 27, 2017 at 1:00 pm

    Artificial intelligence software can now evaluate the maturity of a preterm infant's brain directly from an EEG. […]

  • 'Mind-reading' brain-decoding tech
    on October 23, 2017 at 5:20 pm

    Researchers have demonstrated how to decode what the human brain is seeing by using artificial intelligence to interpret fMRI scans from people watching videos, representing a sort of mind-reading technology. […]

  • Future smartwatches could sense hand movement using ultrasound imaging
    on October 11, 2017 at 5:16 pm

    New research has shown future wearable devices, such as smartwatches, could use ultrasound imaging to sense hand gestures. […]

  • Brain-controlled drones are here: What’s coming in the next five years?
    on September 30, 2017 at 3:04 am

    Single unmanned autonomous vehicles (UAVs) directed by joysticks, radio controllers, and mobile phones are already accomplishing a variety of useful tasks, such as aerial photography and security patrols. But using multiple drones requires multiple human operators, and this presents a coordination problem. […]

  • Move towards 'holy grail' of computing by creation of brain-like photonic microchips
    on September 27, 2017 at 8:20 pm

    Scientists have made a crucial step towards unlocking the 'holy grail' of computing -- microchips that mimic the way the human brain works to store and process information. […]

  • The 3-D selfie has arrived
    on September 26, 2017 at 4:51 pm

    Computer scientists have solved a complex problem that has, until now, defeated experts in vision and graphics research. They have developed technology capable of producing 3-D facial reconstruction from a single 2-D image -- the 3-D selfie. People are queuing up to try it and so far, more than 400,000 users have had a go. […]

  • Mathematical simulations shed new light on epilepsy surgery
    on September 20, 2017 at 2:43 pm

    Results from an unexpected quarter is could help neurologists to identify which brain region to remove to eliminate an epilepsy patient’s symptoms. Mathematicians have shown that it is sensible to examine the interconnections between different brain regions closely, instead of searching for abnormal regions only. […]