In Fundamentals of Neural Networks: Architectures, Algorithms And Applications by Laurene V. Fausett on $\text{Page:32}$ it describes Hot and Cold perception modeling with McCulloch-Pitts Net page 31

the book describes the output of neuron $y_2$ at time step $t$ as below :

$$ y_{2}(t)=x_{2}(t-2) \operatorname{AND} x_{2}(t-1) $$ I can't understand why there is $x_{2}(t-1)$? I think it should be $z_{2}(t-1)$, which one of them is correct?


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