In a connectionist model, the CS and US can be analogous to
A) instructions and feedback.
B) priming and potentiation.
C) practice effects and actual training effects.
D) features and categories, or causes and effects.

Question

Quizplus · Accepted Answer

In a connectionist model, which is a type of neural network model used to simulate the workings of the brain, the conditioned stimulus (CS) and the unconditioned stimulus (US) can be analogous to features and categories, or causes and effects. This is because the model learns to associate certain inputs (features or causes, analogous to the CS) with specific outputs (categories or effects, analogous to the US) through a process of training and adjustment of connections, similar to how associative learning works in classical conditioning.

In a Connectionist Model, the CS and US Can Be