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    Expectancy-based rhythmic entrainment as continuous Bayesian inference. by Jonathan Cannon

    Published 2021-06-01
    “…Previous modeling work has described how entrainment to rhythms may be shaped by event timing expectations, but sheds little light on any underlying computational principles that could unify the phenomenon of expectation-based entrainment with other brain processes. …”
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    End-to-end neuromorphic speech enhancement with PDM microphones by Sidi Yaya Arnaud Yarga, Sean U N Wood

    Published 2025-01-01
    “…Conventional systems rely on pulse code modulation (PCM) signals and artificial neural networks, both of which introduce significant preprocessing and computational overhead. In this work, we present PDMDNS, a novel end-to-end neuromorphic framework for real-time speech denoising that directly processes binary pulse density modulation (PDM) microphone output using a spiking neural network, entirely bypassing the conventional PDM-to-PCM conversion and preprocessing stages. …”
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