Simulating the Real World Through Bi-Directional Brain-Computer Interfaces: A Conceptual Framework
Year: 2025
Type: preprint
Abstract: Brain-Computer Interfaces (BCIs) have traditionally been developed to decode neural activity and translate it into computational signals for medical, engineering, and communication purposes. While remarkable progress has been made in one-way neural decoding, the ability to achieve bi-directional interaction between the brain and external systems remains limited. This paper proposes a conceptual framework for a real-world simulation controlled directly by human brain activity and enriched by encoded feedback into the brain itself. By creating a comprehensive library of brainwave signatures corresponding to actions, sensations, and emotional states, it may be possible to simulate lifelike human interaction within a virtual environment. Furthermore, encoding external data back into the brain could enable users to experience simulation events as if they were real, effectively merging human cognition with artificial environments. The implications of such a system span healthcare, accessibility, research, and entertainment, while raising critical ethical, technical, and societal questions.
Author: Kavindu Kokila
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4414487667
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