Brain-Machine Interface Technology
A special issue of Technologies (ISSN 2227-7080).
Deadline for manuscript submissions: closed (30 June 2016) | Viewed by 22626
Special Issue Editor
Special Issue Information
Dear Colleagues,
Brain-machine interface (BMI) is a technology for decoding brain signals and using them for direct communication between the brain and external devices. BMIs are expected to revolutionize medical treatment of neurological disabilities caused by trauma and disease. Patients may benefit from BMIs connecting intact brain areas to assistive devices, such as neuroprosthetic limbs, wheelchairs that respond to brain commands, and artificial sensors that assist people with sensory disabilities. BMIs have experienced an explosive development during the last decade. This development was facilitated by advances in neural recording methods, computational approaches to decoding neural signals, computer technologies and robotic engineering.
Modern BMIs utilize a variety of noninvasive and intracranial recording methods. They can be classified into three main types: sensory, motor and bidirectional, for enabling sensory, motor and sensorimotor functions, respectively. More recently, cognitive BMIs have emerged that decode neural signals involved in higher brain functions, such as decision making, memory and attention. Moreover, brain-to-brain interfaces have been recently introduced for direct information exchange between individual brains.
In this special issue we invite articles on all aspects of BMI technologies: from recording methods to decoding algorithms and clinical applications. We intend to cover BMIs for motor function, senses (e.g., vision, hearing, proprioception, and smell), cognition, and social interaction. Both animal and human studies are invited.
Dr. Mikhail A. Lebedev
Guest Editor
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Keywords
- brain machine interface
- neuroprosthetics
- neural prosthesis
- neurological disability
- neurological trauma
- sensory disability
- social interaction
- neural computations
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