Similarity of Cortical Activity Patterns Predicts generalization Behavior

Crystal T. Engineer, Claudia A. Perez, Ryan S. Carraway, Kevin Q. Chang, Jarod L. Roland, Andrew M. Sloan, Michael P. Kilgard

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Humans and animals readily generalize previously learned knowledge to new situations. Determining similarity is critical for assigning category membership to a novel stimulus. We tested the hypothesis that category membership is initially encoded by the similarity of the activity pattern evoked by a novel stimulus to the patterns from known categories. We provide behavioral and neurophysiological evidence that activity patterns in primary auditory cortex contain sufficient information to explain behavioral categorization of novel speech sounds by rats. Our results suggest that category membership might be encoded by the similarity of the activity pattern evoked by a novel speech sound to the patterns evoked by known sounds. Categorization based on featureless pattern matching may represent a general neural mechanism for ensuring accurate generalization across sensory and cognitive systems.

Original languageEnglish
Article numbere78607
JournalPloS one
Volume8
Issue number10
DOIs
StatePublished - Oct 16 2013

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