Continuous attractor neural network model of multisensory integration

Abstract

In real bio-systems, animals can combine multiple independent sources of information (sensory cues) to reduce uncertainty and improve perceptual performance. Despite intense recent interest in cue integration, the underlying neural mechanisms remains unclear. Continuous attractor neural network (CANN) can be interpreted as an efficient framework for… (More)

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