Ila R Fiete

A data-driven nonlinear control-theoretic framework to characterize subsystem interactions, leveraging a deep-learning method to learn dynamical system Jacobians.

We train a connectome-constrained model of the Drosophila HD circuit, and show that cell-type–level parameter tuning is both necessary and sufficient to recover accurate integration dynamics and reveal the functional roles of specific neuron types.