Neural-network agents trained in social environments learn hybrid navigation strategies that combine individual landmark use with social following, with strategy shifts driven by the ratio of skilled to unskilled social agents.
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year = 2001, month = oct
2 Pith papers cite this work, alongside 3,522 external citations. Polarity classification is still indexing.
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SNN-HDC decoding delivers better accuracy, lower latency, and 1.24x-3.67x lower estimated energy than standard methods on DvsGesture and SL-Animals-DVS while detecting 100% of samples from an untrained class.
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Social-spatial dependencies for learning visual navigation
Neural-network agents trained in social environments learn hybrid navigation strategies that combine individual landmark use with social following, with strategy shifts driven by the ratio of skilled to unskilled social agents.
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Hyperdimensional Decoding of Spiking Neural Networks
SNN-HDC decoding delivers better accuracy, lower latency, and 1.24x-3.67x lower estimated energy than standard methods on DvsGesture and SL-Animals-DVS while detecting 100% of samples from an untrained class.