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Early warning signals could help monitor disease outbreaks

New research suggests early warning signals (EWSs) could help in the monitoring of disease outbreaks, such as COVID-19. The study found warnings could be detected weeks earlier than any rapid increase in cases. The findings could help governments and policy makers improve the accuracy of their decisions and allow timely interventions if needed. from Top Health News -- ScienceDaily https://ift.tt/3DvxDk4 via IFTTT
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Computational model decodes speech by predicting it

UNIGE scientists developed a neuro-computer model which helps explain how the brain identifies syllables in natural speech. The model uses the equivalent of neuronal oscillations produced by brain activity to process the continuous sound flow of connected speech. The model functions according to a theory known as predictive coding, whereby the brain optimizes perception by constantly trying to predict the sensory signals based on candidate hypotheses (syllables in this model).

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