Encyclopedia of Computational Neuroscience

Living Edition
| Editors: Dieter Jaeger, Ranu Jung

Brain Machine Interface and Neuroimaging

  • Mitsuo Kawato
Living reference work entry
DOI: https://doi.org/10.1007/978-1-4614-7320-6_523-1



Brain machine interfaces (BMIs) directly connect brain activity and devices outside the brain for such purposes as sensory substitution, motor compensation and enhancement, neurorehabilitation, suppression of maladaptive neural circuits, and treatment for brain lesions and neurological and psychiatric disorders. A BMI usually consists of some of the following electrical, mechanical, and computing elements: a brain activity measurement system (electrodes, amplifier, AD converter, etc.), a computer for decoding brain information and/or controlling stimuli to the brain, an effector system (prosthetic limb, rehabilitation robot, computer cursor, etc.), and a neural stimulation system.

Detailed Description

BMIs can be classified from at least the following three viewpoints. The first classification concerns which brain function is substituted, compensated, enhanced, or cured by BMI. Only three very basic functions are listed...


Brain Computer Interface Slow Cortical Potential Brain Machine Interface Sensory Substitution Decoder Output 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Computational Neuroscience LaboratoriesATR Brain Information Communication Research Laboratory GroupKyotoJapan