Neuro-mimetic Navigation Systems: a Computational Model of the Rat Hippocampus Neuro-mimetic Navigation Systems: a Computational Model of the Rat Hippocampus
نویسندگان
چکیده
We propose a bio-inspired approach to autonomous navigation based on some of the components that rats use for navigation. A spatial model of the environment is constructed by unsupervised Hebbian learning. The representation consists of a population of localized overlapping place elds, modeling place cell activity in the rat Hippocampus. Place elds are established by extracting spatio-temporal properties of the environment from visual sensory inputs. Visual ambiguities are resolved by means of path integration. Reinforcement learning is applied to use place cell activity for goal-oriented navigation. Experimental results obtained with a mobile Khepera robot are presented.
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تاریخ انتشار 1999