McCulloch-Pitts Neuron

The McCulloch-Pitts neuron is an early model of how artificial neurons function. It takes multiple inputs, like signals or data, assigns each a certain importance (weight), and combines them. If this combined value exceeds a specific threshold, the neuron "fires" and produces an output (like a yes or no). This process mimics how biological neurons transmit signals in the brain. The model provides a simple way to understand how complex decision-making can be broken down into basic computational steps, forming the foundation for modern artificial neural networks used in machine learning today.