Stimulus Simplification and Object Representation: A Modeling Study
MASSACHUSETTS INST OF TECH CAMBRIDGE COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE LAB
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Tsunoda et al. 20 recently studied the nature of object representation in monkey inferotemporal cortex using a combination of optical imaging and extracellular recordings. In particular, they examined IT neuron responses to complex natural objects and simplified versions thereof. In that study, in 42 of the cases, optical imaging revealed a decrease in the number of activation patches in IT as stimuli were simplified . However, in 58 of the cases, simplification of the stimuli actually led to the appearance of additional activation patches in IT. Based on these results, the authors propose a scheme in which an object is represented by combinations of active and inactive columns coding for individual features. We examine the patterns of activation caused by the same stimuli as used by Tsunoda et al. 20 in our model of object recognition in cortex 12. We find that object-tuned units can show a pattern of appearance and disappearance of features identical to the experiment. Thus, the data of Tsunoda et al. appear to be in quantitative agreement with a simple object-based representation in which an objects identity is coded by its similarities to reference objects 2, 15. Moreover, the agreement of simulations and experiment suggests that the simplification procedure used in 20 is not necessarily an accurate method to determine neuronal tuning.
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