Connectionist models propose that learning and memory involve: a) the storage and manipulation of symbols and labeled links. b) networks of uniform and unlabeled connections. c) random sampling of possible elements associated with a stimulus. d) a one-step process of going from ignorance to knowledge in a single trial.

Option B.

Explanation:

Networks of uniform and unlabeled connections, is the right answer.

Connectionism is a method in the disciplines of cognitive science, that aspires to describe mental aspects using simulated neural interfaces.

Another name for Connectionist models is the Parallel Distributed Processing models. These are the class of computational patterns usually employed to model perspectives of human attention, knowledge, and practice, the learning methods holding such action, and the accommodation and retrieval of data from memory.