In a so-called analogue neurocomputer, on-chip electronic components (like the memristor) could take on the role of individual neurons and synapses. That could both reduce the computer's energy requirements and speed up computations at the same time.
在所谓的模拟神经计算机中,芯片上的电子元件(如忆阻器)可以发挥单个神经元和突触的作用。这既可以降低计算机对能量的需求,同时又可以加快计算速度。
Right now analogue neurocomputers are hypothetical, because we need to work out how electronics can mimic synaptic plasticity – the way that active brain synapses strengthen over time and inactive ones get weaker. It's why we can hang on to some memories while others fade away, scientists think.
现在模拟神经计算机只是一种假设,因为我们需要弄清楚电子设备应如何模拟突触的可塑性,即活跃的大脑突触可以随着时间的推移而增强,而不活跃的突触则会变弱。科学家们认为,这就是为什么我们可以保留部分记忆,而其他的记忆则会逐渐消失。
Previous attempts to produce memristors used nanosized conductive bridges which would then decay over time, in the same way that memories might decay in our minds.
之前尝试制造的忆阻器所使用的纳米导电桥会随着时间的推移而失效,就像记忆在我们的大脑中衰退那样。
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