Threshold logic unit (McCulloch-Pitts 1943) vs. Perceptron (Rosenblatt 1958) I have searched various sources to find out what distinguishes the McCulloch-Pitts neuron from the perceptron invented by Rosenblatt. In most sources only one of these elements is considered, in others they are used as synonyms.
Can someone explain the differences in how they work?
MP model : 1) inputs are binary values; 2) has not weights
Rosenblatt model: 1) inputs can take any real numbers; 2) has weights.
Thank you, https://medium.com/@manushaurya/mcculloch-pitts-neuron-vs-perceptron-model-8668ed82c36