Shengfu Lu

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
We investigated the effects of rule learning based on information granularity. Using two homogeneous Boolean arithmetic tasks, we examined parietal cortex activity during the calculation of labile and stabilized learning. The results revealed stability-related behavioral advantages in a comparison of granularity-based effects with labile learning of Boolean(More)
  • 1