When Gluck and Bower applied their neural network model of learning to study how humans learn to form categories, they treated:
A) the input nodes as CSs and the output nodes as USs.
B) the input nodes as USs and the output nodes as CSs.
C) both the input and output nodes as CSs.
D) both the input and output nodes as USs.

Question

Quizplus · Accepted Answer

In Gluck and Bower's neural network model of learning, the input nodes represent conditioned stimuli (CSs), and the output nodes represent unconditioned stimuli (USs). This setup is used to simulate how associations between CSs and USs are formed in the brain, a fundamental aspect of classical conditioning.

When Gluck and Bower Applied Their Neural Network Model of Learning