更多电极，更快思维？重新思考脑机接口中的带宽
More Electrodes, Faster Minds? Rethinking Bandwidth in Brain-Computer Interfaces
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中文总结 AI 辅助
探讨脑机接口中人类有意义输入/输出增益与接口容量的关系，区分多种相关概念，指出缓慢更新任务状态的演变方式及可解码神经活动的作用，表明缩放关系可能非线性，高容量接口有收益但极端增加会遇限制。
中文摘要 AI 辅助
高带宽脑机接口（BCIs）可绕过受损通路、降低运动成本并改善通信与控制，还激发了加速思维输出、读心术和即时技能获取的愿景。本文探讨有意义的人类输入/输出增益如何随接口容量扩展。区分了带宽、可解码神经状态、神经状态以及人可使用、确认和表达的信息。缓慢更新的任务状态可通过身体、神经控制、感官反馈、环境和共享情境演变成复杂行为。可解码神经活动可支持预测和控制，主体层面的通信取决于选择、确认和授权。在输入方面，刺激可引导可塑性并加速学习，而具身技能通过大脑、身体和环境的协调产生。这种缩放关系可能是非线性的：更高容量的接口可带来实际收益，而有意义的人类输入/输出的极端增加会遇到源于具身、学习和主体表达的限制。
英文摘要
High-bandwidth brain--computer interfaces (BCIs) can bypass damaged pathways, reduce motor costs, and improve communication and control. They also inspire visions of accelerated thought output, mind reading, and instant skill acquisition. This Perspective asks how gains in meaningful human I/O scale with interface capacity. We distinguish bandwidth, decodable neural states, neural states, and information a person can use, confirm, and express. Slowly updated task states can unfold into complex behavior through the body, neural control, sensory feedback, the environment, and shared context. Decodable neural activity can support prediction and control; subject-level communication depends on selection, confirmation, and authorization. On the input side, stimulation may guide plasticity and accelerate learning, while embodied skills arise through coordination of a brain, body, and environment. The scaling relationship is likely nonlinear: higher-capacity interfaces can yield real gains, while extreme increases in meaningful human I/O encounter constraints rooted in embodiment, learning, and subject expression.
