Computational framework for investigating predictive processing in auditory perception.

TL;DR: This article found that TA bias was associated with slower reaction times (RT) for angry but not neutral prosodies and only during short trials, suggesting that neutral stimuli are less subject to TA biases.

TL;DR: The brain tracks distributional statistics of rapidly unfolding stochastic sounds, reflected in sustained EEG responses.

TL;DR: This paper reviewed empirical evidence for predictive coding on the levels of pitch formation, basic pitch-related auditory patterns, more complex regularity processing extracted from basic patterns and, finally, long-term expectations related to musical syntax.

TL;DR: This study proposes FrAMBI, a flexible software framework for auditory modeling based on Bayesian inference, enabling the development and analysis of computational models of human spatial hearing, with a focus on model reuse and parameter estimation.

TL;DR: The aims of this article are to encompass many apparently unrelated anatomical, physiological and psychophysical attributes of the brain within a single theoretical perspective and to provide a principled way to understand many aspects of cortical organization and responses.

TL;DR: A theory of the way working memory capacity constrains comprehension is proposed, which proposes that both processing and storage are mediated by activation and that the total amount of activation available in working memory varies among individuals.

TL;DR: A major challenge for neuroscientists is to test ideas for how this might be achieved in populations of neurons experimentally, and so determine whether and how neurons code information about sensory uncertainty.