Understanding Brains in the Second Machine Age
Neuroscience in it’s many forms is playing a central role in the second machine age, especially as it relates to the development of artificial intelligence. There is an interesting dance between the fields of artificial intelligence and human neuroscience where each is informing the other. This department tracks the dance.
Study led by Rensselaer Polytechnic Institute faculty and graduate student shows that surgeons who trained on simulator had higher level of cortical activation and faster times for cutting tasks. While simulation platforms have been used to train surgeons before they enter an actual operating room (OR), few studies have evaluated how well trainees transfer those skills from the simulator to the OR.
Researchers at the University of York have discovered a link between young people’s ability to perform well at two popular video games and high levels of intelligence. Studies carried out at the Digital Creativity Labs (DC Labs) at York found that some action strategy video games can act like IQ tests. The researchers’ findings are published today in the journal PLOS ONE.
EPFL scientists from the Center for Neuroprosthetics 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.
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.
If brain imaging could be compared to Google Earth, neuroscientists would already have a pretty good “satellite view” of the brain, and a great “street view” of neuron details. But navigating how the brain computes is arguably where the action is, and neuroscience’s “navigational map view” has been a bit meager.
A team of scientists from the University of Chicago designed a way to use microscopic capsules made out of DNA to deliver a payload of tiny molecules directly into a cell.
MIT engineers have now devised a way to automate the process of recording electrical signals from inside a neuron, using a computer algorithm that analyzes microscope images and guides a robotic arm to the target cell.
Researchers at Washington State University (WSU) say they have developed an algorithm that can map brain neural networks with close to human-level accuracy.
Imperial scientists have successfully taught robots to perform a challenging brain technique only previously mastered by a handful of humans.
Artificial neural networks decode brain activity during performed and imagined movements.
Neuroscience Department Head