Several years ago, Dave Rumelhart and I rst developed a handbook to introduce others to the parallel distributed processing (PDP) framework for modeling human cognition.

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, …

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 …

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) is a computational framework that aims to explain and model the processes underlying human cognition. This framework utilizes artificial neural networks to simulate …

In 1986, David Rumelhart, James McClelland, and the PDP Research Group published Parallel Distributed Processing, arguing that cognition emerges from networks of simple, neuron-like units …

Parallel distributed processing (PDP) models are computational frameworks that simulate cognitive processes by representing knowledge as patterns of activation across interconnected nodes in a …

Jul 30, 2025 · The Parallel Distributed Processing (PDP) model is a computational framework for understanding cognitive processes, drawing inspiration from the brain’s biological structure.

Jun 11, 2021 · A central assumption of the PDP approach is that information is processed in parallel, implying that there is no central processor controlling the computation, and it is not possible to …

What makes people smarter than computers? These volumes by a pioneering neurocomputing group suggest that the answer lies in the massively parallel architecture of the human mind.