Title | Unsupervised changes in core object recognition behavioral performance are accurately predicted by unsupervised neural plasticity in inferior temporal cortex |
Publication Type | Journal Article |
Year of Publication | 2020 |
Authors | Jia, X, Hong, H, DiCarlo, JJ |
Journal | BioRxiv |
Date Published | 01.2020 |
Type of Article | preprint |
Abstract | Temporal continuity of object identity is a feature of natural visual input, and is potentially exploited -- in an unsupervised manner -- by the ventral visual stream to build the neural representation in inferior temporal (IT) cortex and IT-dependent core object recognition behavior. Here we investigated whether plasticity of individual IT neurons underlies human behavioral changes induced with unsupervised visual experience by building a single-neuron plasticity model combined with a previously established IT population-to-recognition-behavior linking model to predict human learning effects. We found that our model quite accurately predicted the mean direction, magnitude and time course of human performance changes. We also found a previously unreported dependency of the observed human performance change on the initial task difficulty. This result adds support to the hypothesis that tolerant core object recognition in human and non-human primates is instructed -- at least in part -- by naturally occurring unsupervised temporal contiguity experience. |
URL | https://www.biorxiv.org/content/10.1101/2020.01.13.900837v2.full.pdf |
DOI | 10.1101/2020.01.13.900837 |