Figure 5.

Depiction of Braitenberg's vehicle behavior as a controlled platform to study learning and network energy adaptation: In this figure we hypothesize, based on the Energy Homeostasis Principle, how a hybrot would learn. (A) Different behaviors observed at different learning levels of the Braitenberg's vehicle (top panel), and the corresponding sensory input (bottom panel) from an obstacle (circle centered to x symbol) is detected by a sensor (dashed area), while the vehicle explores the environment. (B) Learning curve of the vehicle when learning to avoid the obstacles, passing from frequent collisions to full avoidance behavior. (C) Network energy adaptation triggered by the sensory input while minimizing the energy stress.