Events

To celebrate the many accomplishments as we wrap up year two and continue our momentum into year three. We anticipate engaging discussions in the working groups and panels as we…

Seminar Time: 11:30am Date: 11/21/25 Seminar Location: JLG, L5-084 Host: Ji Xia Title: Illuminating synaptic learning Abstract: How do synapses in the middle of the brain know how to adjust their weight to advance a behavioral…

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…

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…

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…

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 this trade-off has been studied in fully observable settings, our understanding of resource efficiency in partially observable environments remains limited. Motivated by this challenge, we…

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 be brief, and we'll discuss our agenda and scheduling for the coming semester, including our goals for the benchmark project. Join via Zoom: Upon request…

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: At training time, the loss can be evaluated in parallel over the sequence length on GPUs and TPUs. By contrast, evaluating nonlinear recurrent neural networks…

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 humans and machines construct multimodal experiences. Its goal is to create a space for discussing ongoing language- and vision-focused projects, identifying natural points of overlap,…

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 poorly understood. Polysomnography (PSG)—the gold standard for sleep analysis—captures rich physiological signals but is underutilized due to challenges in standardization, generalizability and multimodal integration. To…