Computational Neuroethology Chapter

Synopsis: Computational neuroethology is the use of modeling and simulation to study adaptive behavior. The conceptual framework of computational neuroethology emphasizes that nervous systems are embodied, that is, sensory pre-processing, biomechanical properties, and the integration of sensing and action during active perception are all critical for behavior. Furthermore, animals are situated in an environment. As a result, adaptive behavior emerges from the coupling of brain, body, and environment. Computational neuroethology has clarified animal behavior, created artificial agents (simulated and robotic) capable of flexible autonomous behavior, and developed new insights into the nature of cognition and intelligence.