Events

Bence Olveczky Location: ZI Date: June 26, 2026 Time: 11:30am Zoom: Upon Request @ [email protected] Title: Neural circuits underlying learned motor sequences. Abstract: Our ability to sequence movements and actions in response to unpredictable environmental events underlies our rich and adaptive behavioral repertoire. Such flexible behaviors contrast with overtrained, or automatic, motor sequences directed at specific…

Konstantinos Barmpas (Postdoc Imperial College London) Title: NeuroRVQ - Multi-Scale Biosignal Tokenization for Generative Foundation Models Abstract: Biosignals such as electroencephalography (EEG), electrocardiography (ECG), and electromyography (EMG) encode physiological activity across multiple temporal and spectral scales, yielding representations that are rich but challenging for machine learning. Foundation models trained to predict masked signal tokens have shown promise…

Continuation from prior meetings. Zoom: Upon request @ [email protected]  

Location: Zuckerman Institute (room TBD) Date and Time: August 2nd, 10am to 6pm About:  Recent advances in deep learning and improvements in the quantity and quality of available human brain-activity data (including functional MRI, EEG, MEG, and intracranial recordings) have made it possible to build accurate encoding models of the human brain that can predict neural activity…

Our discussion will focus on the Day in the Life benchmark. We're aiming to submit a proposal to the ICLR workshops once the timing is confirmed (and potentially an ICLR paper as well, with the deadline a month out), so we'd like to accelerate the push towards a working benchmark. Zoom Link: Upon request @…

Alexandre Pouget Date and Time: May 21st at 3pm Location: Zuckerman Institute Kavli Auditorium 9th Floor Title: Neural Models of Compositionality Abstract: Compositionality is widely regarded as one of the cornerstones of general intelligence. It refers to the ability to rapidly generate or learn new concepts by combining simpler ones according to an underlying syntax, as…

Title: Brain2Qwerty: Noninvasive decoding of typed sentences from human brain activity Abstract: Restoring communication for people who have lost the ability to speak or move after a brain injury is a major challenge. While intracranial implants now enable high-performing brain-computer-interfaces, non-invasive alternatives are still lagging behind. Here, we present Brain2Qwerty v2, a model that can…

Pratik Chaudhari Pratik Chaudhari is an Associate Professor in Electrical and Systems Engineering and Computer and Information Science at the University of Pennsylvania. He is also a Scholar at Amazon Web Services. Pratik is a core member of the GRASP Laboratory. From 2018-19, he was a Senior Applied Scientist at Amazon Web Services and a…

Continuation of prior meetings. Zoom: upon request @ [email protected]

Continuation of prior meetings Zoom: Upon request @[email protected]

Divyansha's talk Title: Scaling Neural Motor Decoding via Decoupled Behavioral Pretraining Abstract: Recent neural decoding approaches achieve strong performance by training on large collections of paired neural-behavioral recordings, but such datasets are expensive, invasive, and difficult to scale. In contrast, behavioral data is abundant and easy to collect, raising the question of whether neural decoding…

Joshua Gold Title: Flexible information bottlenecks in the brain Abstract: The brain must make sense of the world from a constant bombardment of incoming information but using limited computational and other resources. These limitations introduce information bottlenecks in the brain, where the information that is processed is a compressed (capacity-limited) version of the information that…