This lecture explains the concept of cooperation in Kohonen maps, focusing on defining a topological neighborhood using a Gaussian function to describe the interaction among excited neurons. The instructor introduces the Gaussian function, lateral distance, and effective width, highlighting the importance of using a time-varying decaying width in the learning rule.