Moving from passive recording to active control: bridging the gap between control theory algorithms and experimental implementation.
The workshop aims to catalyze the next wave of systems neuroscience research by moving from passive recording of neural activity to active closed-loop control. This workshop will bridge the gap between control theorists developing algorithms and experimentalists navigating the challenges of implementing these algorithms in practice.
While past Cosyne workshops have explored the constituent elements of dynamical system identification, active inference, and optimal control of neural population dynamics, our proposed workshop offers a distinct and timely synthesis focused on the translational potential of the emerging closed-loop techniques.
We will specifically emphasize methods applicable to human electrophysiology, where the goal is to actively probe and control neural dynamics with precision, maximizing information gain within limited experimental sessions. This workshop will create a novel forum that bridges the gap between control theorists developing algorithms and experimentalists facing the practical hurdles of implementing these systems, thereby embodying the Cosyne ethos of a tight, functional integration of theory and experiment to ask fundamentally new questions about neural computation.
Leading experts at the intersection of theory and experiment
Technical University of Munich (TUM)
"Single-neuron and neuronal circuit dynamics of intracortical electrical microstimulation in human association cortex"
Newcastle University
"Closed loop recording and intracortical microstimulation of the frontoparietal network in humans with an implanted brain-computer interface"
Heidelberg University / ZI Mannheim
"Tractable data-driven models for dynamical system reconstruction and control of brain and behavior"
The University of Tokyo
"Optimal design of stimulation for neural system identification and controllability estimation"
Georgia Tech
"How many channels do we need to control latent neural dynamics in real time? Insights from a high-throughput survey"
Champalimaud Research
"Planning to Learn Neural Dynamics in Real Time"
Monday, March 16, 2026
Nina Kudryashova, Melina Müller, Matthias Hennig & Luke Bashford
Kyle Johnsen
Simon Jacob
Georgia Koppe
12:20 - 15:00
Luke Bashford
Mikito Ogino
Memming Park / Hyungju Jeon
Moderated by Organizers with All Speakers