Similarity and categorization are fundamental processes in human cognition that help
complex organisms make sense of the cacophony of information in their environment. These …

Abstract SUSTAIN (Supervised and Unsupervised STratified Adaptive Incremental Network)
is a model of how humans learn categories from examples. SUSTAIN initially assumes a …

Shepard has argued that a universal law should govern generalization across different
domains of perception and cognition, as well as across organisms from different species or …

Mental localization efforts tend to stress the where more than the what. We argue that the
proper targets for localization are well-specified cognitive models. We make this case by …

Two unsupervised learning modes (incidental and intentional unsupervised learning) and
their relation to supervised classification learning are examined. The approach allows for …

In influential research, RN Shepard, CI Hovland, and HM Jenkins (1961) surveyed humans'
categorization abilities using tasks based in rules, exclusive-or (XOR) relations, and …

Replay can consolidate memories through offline neural reactivation related to past
experiences. Category knowledge is learned across multiple experiences, and its …

A unified general theory of human concept learning based on the idea that humans detect
invariance patterns in categorical stimuli as a necessary precursor to concept formation is …

The current study investigated category learning across two experiments using face-blend
stimuli that formed face families controlled for within-and between-category similarity …

What is the relationship between the degree of learning difficulty of a Boolean concept (ie, a
category defined by logical rules expressed in terms of Boolean operators) and the …