Is this a widely accepted version of neural network history? I recognize Rosenblatt, Perceptron, etc., but I have never heard that Hopfield nets or Bolzmann machines were given any major weight in the history.
The descriptions I have read were all mathematical, focusing on the computational graph with the magical backpropagation (which frankly is just memoizing intermediate computations). The descriptions also went out of their way to discourage terms like "synapses" and rather use "units".