Stanford Psychology Friday Seminar
Four Not-So-Easy Pieces: Improving Neural Network Models of the Visual System Convolutional Neural Networks (CNNs) optimized for invariant category recognition have turned out to be OK, if imperfect, models of neural responses in the ventral visual pathway of humans and non-human primates. However, these very imperfections are the touchstones for a series of deep unsolved questions […]
Toward a culture of computational reproducibility: Values, principles, and practices Ensuring that the results of data analysis are both valid and reproducible is a fundamental responsibility of every computational scientist, but both are increasingly difficult in the context of complex analysis workflows and big data. Building off of ideas from software engineering, I will argue that we need to […]
Why intuitive theories of memory lead us wrong: memory representations are continuous strength, population-based and hierarchical In the real world, objects are discrete physical entities – your coffee mug either is or is not in your hand. As a result, both in everyday life and in memory research, there is a tendency to use a […]
