论文标题
可训练的序列学习者，学习并识别两输入序列模式
A Trainable Sequence Learner that Learns and Recognizes Two-Input Sequence Patterns
论文作者
论文摘要
我们为模拟电路提供了两个设计，可以学会检测两个输入的时间序列。训练阶段是通过以所需的序列为电路喂养的，并且在训练完成后，每次遇到训练的序列再次遇到时，电路都会发出正确识别的信号。序列按照数十纳秒的顺序。第一个设计可以在运行时重置训练有素的序列，但假设输入的时间非常严格。第二个设计只能接受一次训练，但在输入的时间安排中宽松。
We present two designs for an analog circuit that can learn to detect a temporal sequence of two inputs. The training phase is done by feeding the circuit with the desired sequence and, after the training is completed, each time the trained sequence is encountered again the circuit will emit a signal of correct recognition. Sequences are in the order of tens of nanoseconds. The first design can reset the trained sequence on runtime but assumes very strict timing of the inputs. The second design can only be trained once but is lenient in the input's timing.
