The MCP neuron, also known as a threshold logic unit, represents the simplest workflow or behavior of a biological neuron in a mathematical way.
The MCP neuron captures the essential features of neural computation and consists of three primary components.
By adjusting the weights and threshold values, MCP neurons can emulate Boolean logic functions such as AND, OR, and NOT.
While the MCP neuron provided initial insights into neural computation, it possesses limitations that restrict its capability for solving complex problems.