In this work, we investigate the brain's sensitivity to higher-order statistics describing temporal dependencies between sound events through a series of ...
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May 29, 2018 · In this work, we investigate the brain's sensitivity to higher-order statistics describing temporal dependencies between sound events through a ...
May 29, 2018 · This process relies on the brain's ability to sequentially collect information from sounds as they evolve over time, building representations of ...
In this work, we investigate the brain's sensitivity to higher-order statistics describing temporal dependencies between sound events through a series of change ...
Detecting change in stochastic sound sequences - PLOS
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The model detects a change if the change probability exceeds the threshold τ. Model parameters (m, n, π, τ) are in red.
Our ability to parse our acoustic environment relies on the brain's capacity to extract statistical regularities from surrounding sounds.
Detecting change in stochastic sound sequences. https://doi.org/10.1371/journal.pcbi.1006162 · Full text. Journal: PLOS Computational Biology, 2018, № 5, p ...
Detecting change in stochastic sound sequences. Overview of attention for article published in PLoS Computational Biology, May 2018. Altmetric Badge. Mentioned ...
Oct 28, 2020 · The goal of sequential change detection is to design a stopping time on the observation sequence at which it is declared that a change has ...
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Jan 8, 2024 · It also demonstrated that most listeners based their transition detection on a context length of 20-40 tones (1-2 seconds). The human brain ...