Connectionism is a research area in cognitive psychology and artificial intelligence that focuses on the study of how networks of simple processing units can represent and process information. This approach is based on the idea that cognitive processes can be understood as the interaction of many interconnected units, similar to neurons in the brain. Connectionist models are often used to simulate how information is processed in the brain and to understand complex cognitive phenomena such as learning, memory, and language processing.