Brain Machine Interfaces using Operant Conditioning of Neural Activity

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Martha Garcia-Garcia
Kramay Patel
Milos R. Popovic

Keywords

Abstract

Individuals with sensorimotor deficits resulting from disease, cardiovascular injury or traumatic injury are often unable to effectively interact with the world around them. This dramatically reduces their quality of life as they are unable to perform their activities of daily living (ADLs). Brain-machine interfaces (BMIs) and brain-computer interfaces (BCIs) are an emerging set of technologies that aim to provide these individuals with a novel way of interacting with their environment. BMIs and BCIs (hereafter referred to collectively as BMIs) function by converting neural activity from the brain into various forms of output commands that can be used to control external devices (such as robotic arms, computer cursors, wheelchairs, etc.) or neuroprostheses.