March 12, 2021 – Faculty Lightning Talks

For the 2021 Admissions Weekend, FriSem will be hosting a panel of faculty speakers to present their ongoing research. Mike Frank: Towards predictive models of early language learningTobi Gerstenberg: Understanding “why”: The role of causality in cognitionNoah Goodman: Research in the Goodman LabKalanit Grill-Spector: Neural investigations of high-level vision in the Vision and Perception Neuroscience […]

February 26, 2021 – Dan Yamins

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 […]

February 19, 2021 – Russ Poldrack

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 […]

January 22, 2021 – Nilam Ram

Changing How We Model Change: The Need for and Challenge of Flexibility  Growth models are often used to reconcile theoretical propositions about development with longitudinal data. We use them extensively to describe and test hypotheses about  individuals’ behavioral trajectories (e.g., learning curves). In this talk I share how a deep-dive into the biologically-inspired von Bertalanffy […]

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