Bee foraging in uncertain environments using predictive hebbian learning
Abstract
RECENT work has identified a neuron with widespread projections to odour processing regions of the honeybee brain whose activity represents the reward value of gustatory stimuli1,2. We have constructed a model of bee foraging in uncertain environments based on this type of neuron and a predictive form of hebbian synaptic plasticity. The model uses visual input from a simulated three-dimensional world and accounts for a wide range of experiments on bee learning during foraging, including risk aversion. The predictive model shows how neuromodulatory influences can be used to bias actions and control synaptic plasticity in a way that goes beyond standard correlational mechanisms. Although several behavioural models of conditioning in bees have been proposed3-7, this model is based on the neural substrate and was tested in a simulation of bee flight.
- Publication:
-
Nature
- Pub Date:
- October 1995
- DOI:
- 10.1038/377725a0
- Bibcode:
- 1995Natur.377..725M