What is another word for Connectionist Models?
Pronunciation: [kənˈɛkʃənˌɪst mˈɒdə͡lz] (IPA) 
Connectionist models, also known as artificial neural networks, are computational models that mirror the connectivity and functioning of the human brain. These models utilize interconnected nodes, or artificial neurons, to process information and learn from data. Synonyms for connectionist models include neural networks, parallel distributed processing models, and deep learning networks. Neural networks emphasize the biological aspect, representing the brain's interconnected neurons. Similarly, parallel distributed processing models highlight the distributed nature of information processing in these models. Lastly, deep learning networks emphasize the depth and sophistication of modern connectionist models that can learn hierarchical representations of data. These synonyms highlight the shared essence of these models in their ability to simulate complex cognitive processes.
