Attractor Network

An attractor network is a type of artificial neural network that helps in recognizing patterns and retrieving information. It's inspired by how our brains work. In this system, different states or patterns are 'attractors' that the network gets drawn towards, representing memories or concepts. When you input data, the network processes it and settles into one of these attractor states, effectively retrieving related information. This mechanism is useful in various applications, like image recognition or natural language processing, where the goal is to identify and respond to complex patterns in data.