# What does n means in neural network neuron output?

I've found this equation that explains the output of a neuron in a MLP network:

$$y(n) = f(\mathbf{w}^T \mathbf{x}(n) + b)$$

I can understand the general context, but since i have no background with mathematical notation, i don't understand what the $$(n)$$ parameter means (e.g. $$y(n)$$, $$x(n)$$). Is it sort of a temporal or sample index? I've seen this notation in other machine learning subjects, but didn't find an explanation.

• I can't say for sure, but in the text i'm reading the author should've used $n$ as a temporal index because the dimensions of $y$ and $x$ are given in the text as follows: "[...] where $x \in \mathbb{R}^{K \times 1}$, [...]" – heresthebuzz Oct 19 '20 at 21:25