Hello MDCopper,Thankyou for that piece of info and please to see...

Hello MDCopper,Thankyou for that piece of info and please to see BRN's Neuromorphic System gets a mention in the ICNS article.I'm all for the implementation of Brainchip's technology in Cochlear implants. I think this could be a great application of their tech. and something that would be very worthwhile working on!Bionics would seem to be a very good fit for Neuromorphic technology as is seen in the awards given to the particular companies developing such tech below..

Dec. 12, 2021

Winners of the 2021 Misha Mahowald Prize for Neuromorphic Engineering

The 2021 Misha Mahowald Prize has been awarded to two teams of researchers who used neuromorphic principles to build devices that help disabled humans improve sensory and motor interaction with the world.

The Jury found that these two submissions were tied for first place, and have recommended that the teams receive separate prize citations, but share the prize money.

See the 2021 prizes press release or read below for more details.

The Telluride Auditory Attention Teamused electrical signals from the scalp to measure auditory attention selection and performance of subjects in a multi-speaker environment. Their results will help hearing-impaired persons to focus attention on a particular speaker under ‘cocktail party’ conditions. This work originated at the 2012 Telluride Neuromorphic Engineering Cognition Workshop and led to the multi-partner institution Cognitively Controlled Hearing Aid project funded by the European Union, which successfully demonstrated a real-time Auditory Attention Decoding system.

The Bionic Arm Teamdeveloped neural interfaces that helps control an arm prosthesis for amputees. The sensory interface restores sensory feedback to the brain, and so enables it to provide appropriate motor commands to the prosthesis via a motor interface. Amputees learned to control their bionic arm and developed a sense of touch as if it were their own arm.

The neuromorphic sensory neural feedback was exploited in active motor tasks, which proved that this approach improved users’ dexterity. A subject fitted with a robot hand with touch sensors on several parts of the hand was actuated by remaining arm muscle activity. The subject was able to transfer more blocks (right, top chart, vertical axis) and more unbroken blocks (right, bottom chart, vertical axis) using the neuromorphic feedback nerve stimulation (more rightward on charts) compared to no nerve stimulation (leftmost bar). (Figure from paper).