About this Research Topic
Brain-machine interfaces (BMIs) originated from the clinical necessity to compensate for lost abilities caused by injury or disease, including motor, speech, or vision impairments. While addressing clinical needs remains a significant challenge, the field of BCIs has grown and diversified, encompassing applications for daily use that can be directly controlled by the brain. BMIs even have potential for use in game control devices.
The aim of this Research Topic is to provide a comprehensive coverage of the state-of-the-art research in the field of BMIs that will include novel BMI systems, new tools, methods, and algorithms, and new applications. In the context of this Journal, the term BMI includes also brain-computer interfaces (BCIs) and neuro-prostheses.
We invite researchers to submit manuscripts to this collection on all aspects of BCIs, particularly focusing on signal processing. The scope of the manuscripts may include, but is not limited to:
• Brain-machine interfaces for restoration of motor, speech, and vision faculties in paralyzed persons.
• Algorithms for decoding brain activity.
• Brain-machine interfaces based on all types of input signals: single unit activity, electrocorticography (ECoG), electroencephalography (EEG), magnetic resonance imaging (MRI), magnetoencephalography (MEG), multiphoton imaging of neuronal population activity.
• Novel signal processing techniques useful for neuro-prostheses.
• Novel applications of brain-machine interfaces.
The aim of this Research Topic is to provide a comprehensive coverage of the state-of-the-art research in the field of BMIs that will include novel BMI systems, new tools, methods, and algorithms, and new applications. In the context of this Journal, the term BMI includes also brain-computer interfaces (BCIs) and neuro-prostheses.
We invite researchers to submit manuscripts to this collection on all aspects of BCIs, particularly focusing on signal processing. The scope of the manuscripts may include, but is not limited to:
• Brain-machine interfaces for restoration of motor, speech, and vision faculties in paralyzed persons.
• Algorithms for decoding brain activity.
• Brain-machine interfaces based on all types of input signals: single unit activity, electrocorticography (ECoG), electroencephalography (EEG), magnetic resonance imaging (MRI), magnetoencephalography (MEG), multiphoton imaging of neuronal population activity.
• Novel signal processing techniques useful for neuro-prostheses.
• Novel applications of brain-machine interfaces.
Keywords: Brain Computer Interfaces, Motor, Speech, Vision, Algorithms, EEG, MRI, MEG, ECoG, Decoding, Brain machine interfaces, Non-invasive BCIs, Invasive BMIs, neuro-prostheses, Neural decoding
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
