31 October 2021

BCI Allows Blind to See Basic Shapes

Newly published research successfully created a form of artificial vision for a blind woman using a prosthesis hardwired into her brain. The team conducted a series of experiments with a blind person for six months in Elche, Spain, that represent a leap forward for scientists hoping to create a visual prosthesis that could increase independence for the blind.

A microelectrode array, the Utah Electrode Array (UEA), was implanted into the visual cortex of the blind person to record and stimulate the electrical activities of neurons. The patient wore eyeglasses equipped with a miniature video camera; specialized software encoded the visual data collected by the camera and sent it to the UEA.

More information:

https://www.technology.org/2021/10/28/brain-implant-enables-blind-woman-to-see-simple-shapes/

29 October 2021

Body Map of a Psychotic Hallucination

Leicester psychologists have, for the first time, created body-maps of the sensations which arise during hallucinations in people experiencing psychosis. Although there was great variation in the localisation of feelings across participants, for each individual feelings were recurrently concentrated in particular body areas. Areas of concentration often held repeated sources of feelings like pain, heat, or tension. Psychosis is a term which describes experiences where an individual may have difficulties in determining what is real and what is not real. Research indicates psychosis is associated with experiencing trauma, adverse life events, and stress. People may be given a diagnosis such as schizophrenia. Experiences of perceiving or believing things which those around us do not can also occur in physical health conditions such as brain tumours or acute infections.

Psychosis can have serious adverse outcomes on individuals including distress, lack of sleep, social withdrawal, lack of motivation, difficulties in carrying out daily activities, experiences of discrimination and lost opportunities. Participants were asked by the research team to prospectively document the feeling and senses of hallucinations for one week prior to an interview. Novel visual diary methods involving drawing, writing and body-mapping generated 42 MUSE maps, which set out the specific areas across the body and beyond where participants experienced sensations during hallucinations. The study found that hallucinations were characterised by numerous feelings arising at once, often including multisensory, emotional, and embodied features. Researchers suggest further uptake of visual, ecological and prospective methods may enhance understandings of lived experiences of hallucinations.

More information:

https://www.technologynetworks.com/neuroscience/news/researchers-create-the-first-body-map-of-a-psychotic-hallucination-355170

25 October 2021

Skateboarding and Slacklining Robot

Researchers at Caltech have built a bipedal robot that combines walking with flying to create a new type of locomotion, making it exceptionally nimble and capable of complex movements. Part walking robot, part flying drone, the newly developed LEONARDO can walk a slackline, hop, and even ride a skateboard. LEO is the first robot that uses multi-joint legs and propeller-based thrusters to achieve a fine degree of control over its balance. By using a hybrid movement that is somewhere between walking and flying, the researchers get the best of both worlds in terms of locomotion. LEO's lightweight legs take stress off, of its thrusters by supporting the bulk of the weight, but because the thrusters are controlled synchronously with leg joints, LEO has uncanny balance.

Next, the team plans to improve the performance of LEO by creating a more rigid leg design that can support more of the robot's weight and increasing the thrust force of the propellers. In addition, they hope to make LEO more autonomous so that the robot can understand how much of its weight is supported by legs and how much needs to be supported by propellers when walking on uneven terrain. The researchers also plan to equip LEO with a newly developed drone landing control algorithm that utilizes deep neural networks. With a better understanding of the environment, LEO could make its own decisions about the best combination of walking, flying, or hybrid motion that it should use to move from one place to another based on what is safest and what uses the least amount of energy.

More information:

https://www.caltech.edu/about/news/leonardo-the-bipedal-robot-can-ride-a-skateboard-and-walk-a-slackline