Yes to both, the "neuron" would basically be a weighted parameter.
A parameter is an expression, it's a mathematical representation of a token and it's probabilistic weighting (theyre translated from input or to output token lists entering and exiting the model).
Usually tokens are pre-set small groups of character combinations like "if " or "cha" that make up a word/sentence.
The recorded path your value takes down the chain of probabilities would be the "neural pathway" within the wider "neural network".
Someone please correct me if I'm wrong or my terminology is wrong.
Someone please correct me if I'm wrong or my terminology is wrong.