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BEE FORAGING IN UNCERTAIN ENVIRONMENTS USING PREDICTIVE HEBBIAN LEARNING
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DOI：10.1038/377725a0.png)
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摘要
En 中文
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 stimuli(1,2). 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 proposed(3-7), this model is based on the neural substrate and was tested in a simulation of bee flight.
Keyword:
BUMBLE BEES
HONEYBEES
CHOICE
BEHAVIOR
DOPAMINE
REWARD
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IF:
48.5
论文数:
1.8W
被引数:
96.5W
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