This paper questions approaches to computational modelling of neural mechanisms underlying behaviour. It examines "simplifying" (connectionist) models used in computational neuroscience and concludes that, unless embedded within a sensorimotor system, they are meaningless. The implication is that future models should be situated within closed-environment simulation systems: output of the simulated nervous system is then expressed as observable behaviour. This approach is referred to as "computational neuroethology". Computational neuroethology offers a firmer grounding for the semantics of the model, eliminating subjectivity from the result-interpretation process. A number of more fundamental implications of the approach are also discussed, chief of which is that insect cognition should be studies in preference to mammalian cognition.
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