Research > Neural Information processing

Brain machine interface (BMI)

What is the brain machine interface (BMI)?

BMI is for interacting between nerve systems in living things and artificial machines such as robots and computers in
a direct and intelligent way.

<Johns Hopkins APL>


Core Technologies for Brain Machine Interface

To build BMI systems, three core technologies are required: recording neural signals, processing neural signals,
and controlling artificial systems.


Signal Processing for Brain Machine Interface

The human brain is a highly advanced and intelligent signal processing system. It processes various sensory
information such as visual, auditory, tactile, olfactory, and others for memory, learning, and estimation. Unfortunately,
until now, we do not fully understand how our brain is working. To realize a successful BMI system, we need to
infer neural information such as user's intention and body movements from neural signals. In this sense, neural
signal processing for BMI is called neural decoding .