Adam A. Willats

Bridging model and experiment in systems neuroscience with Cleo: the Closed-Loop, Electrophysiology, and Optophysiology simulation testbed

The paper introduces Cleo, a simulation testbed for systems neuroscience experiments, integrating optogenetics, electrophysiology, and closed-loop control to improve experimental design and model validation.

Learning sparse codes from compressed representations with biologically plausible local wiring constraints

This paper develops a theoretical neuroscience model for sparse coding in compressed neural representations that respects local wiring constraints in cortical communication.

State-space optimal feedback control of optogenetically driven neural activity

This paper applies state-space optimal control to feedback regulate neuronal activity in awake mice using optogenetics, showing effective single-neuron control and generalization to heterogeneous populations.