Brain-machine interfaces, also known as brain-computer interfaces, represent a rapidly advancing field at the intersection of neuroscience and technology, enabling direct communication pathways between the brain and external devices. This review charts the historical evolution of brain-machine interfaces, from fundamental discoveries such as electroencephalography and volitional single-neuron control to sophisticated decoding of neural population activity for real-time control of robotics and sensory reconstruction. Clinical breakthroughs lead to unprecedented success in restoring motor function after paralysis through brain-spine interfaces, enabling high-speed communication through thought-to-text/speech systems, providing sensory feedback for prosthetics, and implementing closed-loop neuromodulation for the treatment of neurological disorders such as epilepsy and depression. Beyond therapeutic applications, brain-machine interfaces drive innovation in neurotech art (neuroart) and entertainment (neurogames), allowing neural activity to directly generate music, visual art, and interactive experiences. In addition, the potential for human augmentation is expanding, with technologies that enhance physical strength, sensory perception, and cognitive abilities. These converging advances challenge fundamental concepts of human identity and suggest that brain-machine interfaces may enable humanity to transcend inherent biological limitations, potentially ushering in an era of technologically guided evolution.
Yuji Ikegaya (Thu,) studied this question.
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