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 […]

November 6, 2020 – Insub Kim

Spatiotemporal population receptive field model in human visual cortex  Visual scenes we experience contain objects that move over positions and time. To interpret dynamic changes in the visual scene, our visual system requires representations of both space and time. However, previous population receptive field (pRF) models focused on the spatial domain of the stimulus. Here, […]

October 30, 2020 – Emily Kubota

The white matter connectivity of the ventral stream in childhood Ventral temporal cortex consists of category selective regions that fall in consistent anatomical locations across individuals and over development. This consistency has many to wonder about the organizing principle(s) of the ventral stream. While there have been functional hypotheses (foveal/peripheral bias, real-world size and curvature), […]

October 23, 2020 – Zach Davis

Learning and controlling dynamic systems We live and act in a messy world. Scientists’ best models of real-world causal processes typically involve not just stochasticity, but real-valued variables, complex functional forms, delays, dose-dependence, and feedback leading to rich and often non-linear emergent dynamics. How do we learn the causal structure of the world, given these difficulties? In […]

October 9, 2020 – Weidong Cai

Dynamic brain mechanism underlying cognitive control deficits in childhood ADHD ADHD is a prevalent neurodevelopment disorder affecting 5-10% of children worldwide. Children with ADHD have prominent deficits in attention and cognitive control. Cognitive control relies on dynamic interactions between large-scale brain networks, in particular the salience, frontoparietal and default mode networks. However, little is known […]