Categorization Training Results in Shape- and Category-Selective Human Neural Plasticity

Xiong Jiang, Evan Bradley, Regina A. Rini, Thomas Zeffiro, John VanMeter, Maximilian Riesenhuber

Research output: Contribution to journalArticle

Abstract

Object category learning is a fundamental ability, requiring the combination of "bottom-up" stimulus-driven with "top-down" task-specific information. It therefore may be a fruitful domain for study of the general neural mechanisms underlying cortical plasticity. A simple model predicts that category learning involves the formation of a task-independent shape-selective representation that provides input to circuits learning the categorization task, with the computationally appealing prediction of facilitated learning of additional, novel tasks over the same stimuli. Using fMRI rapid-adaptation techniques, we find that categorization training (on morphed "cars") induced a significant release from adaptation for small shape changes in lateral occipital cortex irrespective of category membership, compatible with the sharpening of a representation coding for physical appearance. In contrast, an area in lateral prefrontal cortex, selectively activated during categorization, showed sensitivity posttraining to explicit changes in category membership. Further supporting the model, categorization training also improved discrimination performance on the trained stimuli.

Original languageEnglish (US)
Pages (from-to)891-903
Number of pages13
JournalNeuron
Volume53
Issue number6
DOIs
StatePublished - Mar 15 2007

Keywords

  • SYSBIO
  • SYSNEURO

ASJC Scopus subject areas

  • Neuroscience(all)

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    Jiang, X., Bradley, E., Rini, R. A., Zeffiro, T., VanMeter, J., & Riesenhuber, M. (2007). Categorization Training Results in Shape- and Category-Selective Human Neural Plasticity. Neuron, 53(6), 891-903. https://doi.org/10.1016/j.neuron.2007.02.015