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Found 2 papers, 1 papers with code
A modular framework for object-based saccadic decisions in dynamic scenes
We model this active scene exploration as a sequential decision making process.
Applications of optimal nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators
Optimal control inputs to nodes are determined by minimizing a cost functional that penalizes the deviations from a desired network dynamic, the control energy, and spatially non-sparse control inputs.
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