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, …

Volume 1 lays the foundations of this exciting theory of parallel distributed processing, while Volume 2 applies it to a number of specific issues in cognitive science and neuroscience, with chapters …

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.

Parallel distributed processing (PDP) refers to a computational approach that models cognitive processes by simulating the simultaneous processing of information across interconnected nodes or …

Possible solutions have included “ parallel distributed processing ” models of the mind, as proposed by the psychologists David E. Rumelhart and Jay L. McClelland. These models postulated that many …

Jun 11, 2021 · According to PDP theorists, distributed representations are essential for enabling generalization – the ability to process novel information – because the representation of novel inputs …

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.

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.

Jul 29, 1987 · Volume 1 lays the foundations of this exciting theory of parallel distributed processing, while Volume 2 applies it to a number of specific issues in cognitive science and neuroscience, with …

Dec 1, 2017 · Parallel distributed processing (PDP) a form of artificial neural network developed in the 1980s that was associated with a host of psychological and neuroscience claims.