Connectionism is the study of how individual elements in a system connect to produce complex behaviors and cognitive processes. Some synonyms for connectionism include neural networks, computational models, and associative learning. Neural networks refer to the organized connections between neurons in the brain and serve as models for mimicking the brain's behavior. Computational models involve the use of algorithms to simulate complex relationships and produce strategic outcomes, and associative learning refers to how individuals connect different stimuli or responses to certain behaviors. These synonyms all relate to the fundamental concept of connectionism, which is that complex behaviors can arise from simple, interconnected elements.