神经接口的关键技术进展
今天回家的路上，我突然想到，神经接口的关键进展将体现在数据层上。
在我从事电子工作的过程中，我了解到有一个硬件传输层，即信号传输的电线。然后还有软件/协议层，定义了在硬件上传输的内容。
我目前对像Neuralink这样的事物的理解是，它有一个稳固的接口，可以从大脑获取输入，并将输出反馈给大脑，而在这个接口背后则是一系列硬件和软件，用于翻译和利用来自大脑的输入。也就是说，我们从信号和信号传输的模式转变为另一种模式。
我想到的是，一个真正的仿生设备不会仅仅提供与人脑现有硬件和软件数据层的接口，而是会用新的可用神经元扩展现有层。
现在，您可能一开始可以通过位操作来实现，也就是说，让您的仿生神经网络存在于软件中，并进行我们目前所做的所有信号处理。革命性的变化将是一个硬件设备，它可以简单地插入大脑，并在大脑已经运行的同一电气网络上提供一个全新的神经网络。
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It occurred to me on my way home today that the key advancement in in neural interfaces will be in the data layer.<p>In my work with electronics I learned that there's a hardware transport layer, the wires on which signals travel. Then there's the software/protocol layer that defines _what_ travels on the hardware.<p>My current understanding of things like neuralink is that there is a solid interface that takes input from the brain and provides output back to the brain, and behind the interface is a bunch of hardware and software that translates and uses the inputs from the brain. That is, we change from mode of signals and signals transport to another.<p>What occurred to me was that a true bionic won't provide an interface to the existing hardware and software data layers of the human brain, but will instead expend the existing layers with new available neurons.<p>Now, you could probably bit-bang this at the start, IE, have your bionic neural net live in software, and do all the signals processing that we currently do. The revolution will be a piece of hardware that simply plugs in to the brain and makes a whole new neural network available on the same electrical net that the brain already operates on.