A fundamental claim associated with parallel distributed processing (PDP) theories of
cognition is that knowledge is coded in a distributed manner in mind and brain. This approach …

Parallel distributed processing (PDP) models in psychology are the precursors of deep
networks used in computer science. However, only PDP models are associated with two core …

… Correspondence concerning this article should be addressed to Jeffrey S. Bowers, School
of Experimental Psychology, University of Bristol, 12a Priory Road, Clifton, Bristol BS8 1TU, …

According to Bayesian theories in psychology and neuroscience, minds and brains are (near)
optimal in solving a wide range of tasks. We challenge this view and argue that more …

… I would like to thank Patricia Bowers and Peter Bowers for comments on previous drafts.Correspondence
concerning this article should be addressed to Jeffrey S. Bowers, School of …

Participants read aloud swear words, euphemisms of the swear words, and neutral stimuli
while their autonomic activity was measured by electrodermal activity. The key finding was …

Deep convolutional neural networks (DCNNs) are frequently described as the best current
models of human and primate vision. An obvious challenge to this claim is the existence of …

In three experiments we examined whether normal subjects can perform an implicit test
without becoming aware that the test items were previously encountered in the study phase of …

Deep neural networks (DNNs) have had extraordinary successes in classifying photographic
images of objects and are often described as the best models of biological vision. This …

Picture#x2014;word interference studies typically show that semantically related distractor
words embedded within a picture slow picture-naming responses, relative to unrelated ones. …