A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment

NeurIPS 2014 Sahar AkramJonathan Z. SimonShihab A. ShammaBehtash Babadi

Humans are able to segregate auditory objects in a complex acoustic scene, through an interplay of bottom-up feature extraction and top-down selective attention in the brain. The detailed mechanism underlying this process is largely unknown and the ability to mimic this procedure is an important problem in artificial intelligence and computational neuroscience... (read more)

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