Non-uniqueness phenomenon of object representation in modelling IT cortex by deep convolutional neural network (DCNN)

06/06/2019

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by   Qiulei Dong, et al.

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Recently DCNN (Deep Convolutional Neural Network) has been advocated as a general and promising modelling approach for neural object representation in primate inferotemporal cortex. In this work, we show that some inherent non-uniqueness problem exists in the DCNN-based modelling of image object representations. This non-uniqueness phenomenon reveals to some extent the theoretical limitation of this general modelling approach, and invites due attention to be taken in practice.