Enhancing Assistive Technologies With Neuromorphic Computing

Abstract

The development of intelligent neuroprosthetics, which promise to augment human brain function is vital for augmentative assistive technologies. Neuromorphic sensors and processors are particularly adept at mimicking the brain's efficient sensory processing, offering assistive devices an advanced capability to perceive and interpret complex environmental stimuli. The application of these technologies in brain computer interfaces suggests a future where transformative advancements are not only possible but imminent, facilitating novel methods of human-computer interaction and providing insights into the intricate workings of the brain through advanced AI and machine learning techniques. This paper explores the integration of neuromorphic technologies with brain-computer interfaces (BCIs), highlighting the potential to enhance assistive devices and revolutionize communication and healthcare. However, the realization of neuromorphic computing's full potential within BCIs is contingent upon overcoming significant technological and ethical challenges.