Keith B. Doelling

Simulated field potentials capture multiple simultaneous processes underlying human temporal attention

The paper simulates field potentials to disentangle neural mechanisms of human temporal attention, identifying signatures of attentional bias and anticipatory activity that predict perceptual accuracy.

Surprise gates two distinct mechanisms to support memorability in music

The paper investigates how musical memorability relates to neural responses to surprise and expectation, finding a U-shaped relationship between surprise and memory performance.

Tempo-dependent selective enhancement of neural responses at the beat frequency can be mimicked by both an oscillator and an evoked model

The paper shows that neural responses to rhythm are selectively enhanced at the beat rate, which can be explained by both entrainment and evoked response models.

PolyRNN: A time-resolved model of polyphonic musical expectations aligned with human brain responses

The paper introduces PolyRNN, a model of musical expectations in polyphonic music, and shows it aligns with human brain responses recorded via MEG and intracranial EEG.

A brain-rhythm based computational framework to integrate semantics and acoustics in speech processing

This paper introduces BRyBI, a brain-rhythm-based model that integrates rhythmic processes to simulate speech comprehension, showing it can handle speech variations and aligns with human experiments.

Adaptive oscillators provide a hard-coded Bayesian mechanism for rhythmic inference

The paper proposes that adaptive oscillators serve as Bayesian priors for rhythmic inference, demonstrating their ability to model human behavior better than existing models.

Salient 40 Hz sounds probe affective aversion and neural excitability

This study links interindividual differences in aversion to rough sounds with neural excitability at 40 Hz, showing correlations with anxiety levels and suggesting 40 Hz sounds as neuromarkers for conditions like autism and schizophrenia.