McCulloch-Pitts neurons

McCulloch-Pitts neurons are simple mathematical models of nerve cells in the brain. Developed by Warren McCulloch and Walter Pitts in 1943, these neurons can take multiple inputs, process them, and produce a single output. Each input is assigned a weight, and the neuron "fires" (outputs a signal) only if the combined input exceeds a certain threshold. This model laid the foundation for artificial neural networks by mimicking how biological neurons make decisions, helping us understand complex behaviors and enabling advancements in artificial intelligence.