June 2007
Volume 7, Issue 9
Free
Vision Sciences Society Annual Meeting Abstract  |   June 2007
Decoding of ITC cell activity closely predicts human visual similarity judgments
Author Affiliations
  • Ethan Meyers
    Department of Brain and Cognitive Sciences , MIT
  • Chou Hung
    Institute of Neuroscience, National Yang Ming University
  • David Freedman
    Department of Neurobiology, Harvard Medical School
  • Earl Miller
    Department of Brain and Cognitive Sciences , MIT
  • Gabriel Kreiman
    Department of Ophthalmology, Harvard Medical School
Journal of Vision June 2007, Vol.7, 106. doi:10.1167/7.9.106
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      Ethan Meyers, Chou Hung, David Freedman, Earl Miller, Gabriel Kreiman; Decoding of ITC cell activity closely predicts human visual similarity judgments. Journal of Vision 2007;7(9):106. doi: 10.1167/7.9.106.

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Abstract

Recent work has shown that the identity and category of a stimulus can be “read out” from the spiking activity of populations of neurons in monkey inferior temporal cortex (Hung, Kreiman, et al., 2005). Here we extend these decoding techniques to create a neural similarity score for visual objects. In particular, we train a linear support vector machine to discriminate between pairs of objects based on feature vectors that consist of the firing rates of 256 monkey ITC cells, and we define the similarity score to be the average classification accuracy over 100 bootstrap samples of the neurons. We compare these neural similarity scores to human judgments of similarity from a simple delayed match to sample discrimination task. Results show a high level of agreement between human similarity judgments and neural readout similarity, even though the neural readout results are only using a small fraction of the cells in ITC.

Meyers, E. Hung, C. Freedman, D. Miller, E. Kreiman, G. (2007). Decoding of ITC cell activity closely predicts human visual similarity judgments [Abstract]. Journal of Vision, 7(9):106, 106a, http://journalofvision.org/7/9/106/, doi:10.1167/7.9.106. [CrossRef]
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