Chicago, IL 60611 United States
Overview
Recent advances in our ability to record simultaneously from large numbers of neurons has shifted the focus in neuroscience from understanding dynamics at a single cell level to the network level. At the same time, the rise of modern machine learning has independently generated interest in how computation arises from the coordinated activity of large networks of simple units. This workshop explores how computation emerges from network dynamics, asking how circuit structure, network architecture, and plasticity/learning shape the neural dynamics underlying cognitive functions.
Participants (Invitation accepted as of September 17, 2026)
Organizers
Hermann Riecke – Northwestern University
Matthew Kaufman – University of Chicago
Marcella Noorman – University of Chicago
Brent Doiron – University of Chicago
Jacob Zavatone-Veth – Harvard University
Ashok Litwin-Kumar – Columbia University
Participants
Dmitri Chklovskii – Flatiron Institute
Hannah Choi – Georgia Institute of Technology
David Clark – Kempner Institute, Harvard University
Bard Ermentrout – University of Pittsburgh
Katie Morrison – University of Northern Colorado
Cengiz Pehlevan – Harvard University
Ulises Pereira Obilinovic – Allen Institute
Jonathan Rubin – University of Pittsburgh
Eric Shea-Brown – University of Washington
Byron Yu – Carnegie Mellon University
Scholars-in-Residence
- Loris Amalberti – Israel Institute of Technology – Technion
- Ethan Baxter – Northwestern University
- Carlos “Joaquin” Castañeda Castro – Brown University
- Zimei Chen – University of Texas Southwestern Medical Center
- Kabir Dabholkar – Princeton University
- Julia Fadjukov – Northwestern University
- Pierre-Etienne Fiquet – Flatiron Institute
- Aditi Jha – Stanford University
- Saar Nehemia – Israel Institute of Technology – Technion
- Sonja Petrovic – Illinois Institute Technology
- Ngoc Anh Phan – Brandeis University
- Shuqi Wang – EPFL
- Peter Xu – University of Chicago
- Xiaoyu Yang – University of Chicago
- Jie Zang – Brown University