Events

Alan Stocker Professor of Psychology at UPenn Title: Economics of temporal evidence integration Abstract: The temporal integration of sensory information is an important aspect of many human decision tasks. I will present results of ongoing research in my laboratory aimed at understanding the dynamic processes underlying evidence integration. In particular, I will discuss a novel…

Next Meeting Info Date: Thursday, Dec 11 Time: 3pm-4pm Room: CEPSR 620 Zoom: Upon request @ [email protected]

Title: Adaptive problem solving in the primate frontal cortex Abstract: Humans excel at solving problems adaptively. When missing the bus to an appointment, for instance, we might wait for the next one, call a taxi, cancel, or reschedule, depending on the situation. This ability to assess context and choose a suitable strategy is central to…

Seminar Time: 11:30am Date: 12/19/25 Seminar Location: JLG, L5-084 Host: Tahereh Toosi   Title: Flexible decision-making: policies and rules   Abstract: Flexible behavior requires flexible decision-making. We adapt seamlessly to changing environments—adjusting biases, altering decision rules, and inferring hidden task contexts—often without explicit cues. In this talk, I will outline a framework that formalizes different levels of this flexibility and…

Title: A normative perspective on diversity of dopamine neurons Abstract: TBD

Title: Frugal Inference for Control Abstract: A key challenge in advancing artificial intelligence is achieving the right balance between utility maximization and resource use by both external movement and internal computation. While…

To kick off the Continual Learning Working Group activities for this year, the Continual Learning working group will meet on Thursday, Jan 22 at 3pm on Zoom and in CEPSR 620. The meeting will…

Title: When and How to Parallelize Seemingly Sequential Models   Abstract: Transformers have become the de facto model for sequential data in large part because they are well adapted to modern hardware:…

Initial Meeting! About: The ARNI Language & Vision Working Group aims to bring together researchers across neuroscience, cognitive science, computer science, and AI to collaboratively advance our understanding of how…

Title:A multimodal sleep foundation model for disease prediction Abstract: Sleep is a fundamental biological process with broad implications for physical and mental health, yet its complex relationship with disease remains…

Herbert Zheng Wu Title: Neural Basis of Leader–Follower Dynamics in Cooperative Behavior Abstract: Cooperation allows social species to achieve outcomes that individuals cannot accomplish alone. Even in simple groups, cooperative behavior often…

1) Charlotte onboarded vision and audio MNIST dataloaders. She's focusing on predictive coding for sequential tasks (e.g., audio data/moving MNIST). 2) Todd built a multi-modal predictive coding baselines showing that…