This research contributes to a better understanding of learning and memory in the honeybee (Apis mellifera). Chapters 2 and 3 of this thesis include a statistical data analysis of individual behavior during classical conditioning of the proboscis extension response. It is shown that individual honeybees rapidly acquire a stable conditioned response during the conditioning phase. Memory retention in individuals resembles a steady continuation of the behavior expressed during training. No behavioral evidence is found for a more stable or specific 24-hour-memory after multiple-trial than after single-trial conditioning. These results extend the current model on learning and memory in the honeybee, which has been established at the group-average level of analysis. The behavioral data analysis also provides the basis for a renewed theoretical account of associative learning in the honeybee. In chapters 2 and 3, the Rescorla-Wagner theory of associative learning is extended and applied at the level of individuals. Chapter 4 introduces a computational model for investigating the effect of external stimulus properties, internal encoding schemes, and principles of neuronal computation on the dynamics of behavioral plasticity during classical conditioning in a variety of different learning tasks. By this, chapter 4 introduces a computational framework for the integration of behavioral and neurophysiological data on associative learning in the honeybee.
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