The computational models are called parallel distributed processing (PDP) models because memories are stored and retrieved in a system consisting of a large number of simple computational elements, all working at the same time and all contributing to the outcome.

Parallel distributed processing (PDP) provides a contemporary framework for thinking about the nature and organization of perception, memory, language, and thought. In this talk I describe the overall framework briefly and discuss its implications …

Jun 11, 2021 · They are particularly suitable for modeling cognitive processes requiring the capacity to store items in short-term memory, such as language comprehension and planning.

Connectionist models, also known as Parallel Distributed Processing (PDP) models, are a class of computational models often used to model aspects of human perception, cognition, and behaviour, the learning processes underlying such behaviour, and the storage and retrieval of information from memory. The approach embodies a particular perspective in

The idea of memory as a constructive process provides a bridge between the worlds of art and science, since the idea clearly has its protagonists in both spheres. This chapter offers a scientific theory of the nature of human memory that fits very naturally with this constructive perspective. The theory, which we call the complementary

Aug 22, 2013 · This chapter offers a scientific theory of the nature of human memory that fits naturally with the view of memory as a constructive process. This theory, the complementary learning systems theory, is grounded in a broad framework for understanding human cognitive processes called the parallel distributed processing (PDP) framework, a framework ...

The Parallel Distributed Processing (PDP) model, also known as the Connectionist model or neural network model, is a computational framework aimed at understanding cognitive processes and the functioning of the human brain.

Parallel Distributed Processing (PDP) models are a class of neurally inspired information processing models that attempt to model information processing the way it actually takes place in the brain.

Parallel Distributed Processing (PDP) Model of Memory (D.E. Rumelhard, 1980s) – Unlike other popular models, PDP doesn’t focus on different types of memory. Rather, it frames memory in terms of brain activity, proposing that memory can be understood as activation flows through neuronal networks that are parallel (i.e., multiple processes…

Connectionist model, also known as Parallel Distributed Processing (PDP) models, is a class of computational models often used to model aspects of human perception, cognition, and behaviour, the learning processes underlying such behaviour, and the storage and retrieval of information from memory.