Summary
Devices that decode neural signals to control computers or prosthetics, restoring function after injury.
In depth
Microelectrode arrays record motor cortex signals decoded into cursor or robotic arm control; stimulation can restore sensation. Non-invasive EEG-based systems are lower resolution. Cochlear implants are a successful neural prosthesis.
Signals are decoded by algorithms. Closed-loop systems give sensory feedback. Longevity and biocompatibility of implants remain issues.
Example: speech neuroprostheses decode attempted speech from cortex.
Invasive BMIs use Utah arrays or flexible electrodes to record from motor cortex and decode movement intention; participants with paralysis have controlled cursors, robotic arms and typed text at speeds of 60 or more characters per minute by imagining handwriting (Willett et al., 2021), and speech decoders now produce text or synthetic voice at near conversational rates (2023 to 2024). Non-invasive systems use EEG for communication but with lower bandwidth. Cochlear implants and retinal implants are sensory prostheses, and deep brain stimulation and responsive neurostimulation treat disease.
Closing the loop adds sensory feedback by stimulating somatosensory cortex or nerves. Challenges: signal stability over years, tissue response, surgery risk, wireless power and data, and ethics (privacy, agency, equity). Companies (Neuralink, Synchron, Blackrock) are in clinical trials. Spinal stimulation 'bridges' have restored walking after injury in some patients.
Example: in 2012, a woman with tetraplegia used a brain-controlled robot arm to drink coffee.
Frequently asked questions
What is Brain-Machine Interfaces?
Devices that decode neural signals to control computers or prosthetics, restoring function after injury.
Which area of biology covers Brain-Machine Interfaces, and how advanced is it?
Brain-Machine Interfaces is one of the 54 topics in Neuroscience. It is rated Advanced, so it suits learners who want specialist depth. Related topics in this area include Spinal Cord Functions, Cerebellum and Motor Learning, Pain Pathways.
Can you give an example of Brain-Machine Interfaces?
Paralysed participants have controlled computers and even synthesised speech via implants.
What should I learn before Brain-Machine Interfaces?
Work through the Beginner topics in Neuroscience first, such as Nervous System, Neuron, Central and Peripheral Nervous Systems, then return to Brain-Machine Interfaces. Advanced topics assume the Intermediate vocabulary.
What topics are related to Brain-Machine Interfaces?
The closest topics to Brain-Machine Interfaces are Spinal Cord Functions, Cerebellum and Motor Learning, Pain Pathways, Optogenetics. Comparing them side by side is a good way to see how the ideas connect.
How can I check that I understand Brain-Machine Interfaces?
Read the summary and the in-depth section, then use the quick check on the interactive lesson for Brain-Machine Interfaces. To practise the whole of Neuroscience, use the Neuroscience quiz.
How is Brain-Machine Interfaces different from Spinal Cord Functions?
Brain-Machine Interfaces: Devices that decode neural signals to control computers or prosthetics, restoring function after injury. Spinal Cord Functions: Relays signals between brain and body and manages simple reflexes independently. Read both side by side and note what each one explains.
How should I study Brain-Machine Interfaces step by step?
First, read the summary and write the definition in your own words. Second, read the in-depth section and note any example. Third, compare it with Spinal Cord Functions and explain the difference aloud. Finally, take the Neuroscience quiz and come back to this page for any question you miss.