Theyareusually inspired by-andfittedto-experimental data, but they rarely produce neural dynamics that serve complex functions. These failures suggest that current plasticity models are still under-constrained by existing data.

However,foragiven task instance, the KG, or certain parts of the KG, may not be useful.

Toaddressthesechallenges,weproposeMiSO(MicroStimulationOptimization), a closed-loop stimulation framework to drive neural population activity toward specified states by optimizing over a large stimulation parameter space.

Work done as a visiting student at MIT. 38th Conference on Neural Information Processing Systems (NeurIPS 2024).