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In recent years, there have been many computational simulations ofspontaneous neural dynamics. Here, we explore a model of spontaneous neuraldynamics and allow it to control a virtual agent moving in a simpleenvironment. This setup generates interesting brain-environment feedbackinteractions that rapidly destabilize neural and behavioral dynamics andsuggest the need for homeostatic mechanisms. We investigate roles for bothlocal homeostatic plasticity (local inhibition adjusting over time to balanceexcitatory input) as well as macroscopic task negative activity (thatcompensates for task positive, sensory input) in regulating both neuralactivity and resulting behavior (trajectories through the environment). Ourresults suggest complementary functional roles for both local homeostaticplasticity and balanced activity across brain regions in maintaining neural andbehavioral dynamics. These findings suggest important functional roles forhomeostatic systems in maintaining neural and behavioral dynamics and suggest anovel functional role for frequently reported macroscopic task-negativepatterns of activity (e.g., the default mode network).

Balanced activation in a simple embodied neural simulation