Researchers have discovered a complex and novel visual circuit in the brains of dragonflies. They hope the findings could some day help to improve vision systems for robots.
Researchers develop a flexible carbon-nanotube ‘harpoon’ to study individual brain neurons. The ‘brain harpoon’ harnesses the electromechanical properties of carbon nanotubes to capture the electrical signals generated by single neurons.
A protein associated with neuron damage in Alzheimer’s patients provides a superior scaffold for growing central nervous system cells in the lab.
Scientists used an electronic prosthetic system to tap into existing circuitry in the brain at the cellular level and record the firing patterns of multiple neurons in the prefrontal cortex, the part of the brain involved in decision-making. They then “played” that recording back to the same brain area to electrically stimulate decision-based neural activity. Not only did it restore function, in some cases, it also improved it.
Researchers decipher the retina’s neural code for brain communication to create novel, more effective prosthetic retinal device for blindness.
By decoding brain activity, scientists were able to ‘see’ that 2 monkeys were planning to approach the same reaching task differently – even before they moved a muscle.
Georgia Tech researchers have created a wireless, musical glove that may improve sensation and motor skills for people with paralyzing spinal cord injury (SCI).
Millions of people suffering from multiple sclerosis, Parkinson’s, muscular dystrophy, spinal cord injuries or amputees could soon interact with their computers and surroundings using just their eyes, thanks to a new device that costs less than £40 (~$63).
Using piezoelectric materials, researchers have replicated the muscle motion of the human eye to control camera systems in a way designed to improve the operation of robots. This new muscle-like action could help make robotic tools safer and more effective for MRI-guided surgery and robotic rehabilitation.
Researchers developed an artificial cerebellum (a biologically-inspired adaptive microcircuit) that controls a robotic arm with human-like precision.