Performance-optimized hierarchical models predict neural responses in higher visual cortex.

@article{Yamins2014PerformanceoptimizedHM,
  title={Performance-optimized hierarchical models predict neural responses in higher visual cortex.},
  author={Daniel L. K. Yamins and Ha Hong and Charles F. Cadieu and Ethan A. Solomon and Darren Seibert and James J. DiCarlo},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2014},
  volume={111 23},
  pages={
          8619-24
        }
}
The ventral visual stream underlies key human visual object recognition abilities. However, neural encoding in the higher areas of the ventral stream remains poorly understood. Here, we describe a modeling approach that yields a quantitatively accurate model of inferior temporal (IT) cortex, the highest ventral cortical area. Using high-throughput computational techniques, we discovered that, within a class of biologically plausible hierarchical neural network models, there is a strong… CONTINUE READING

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