Douglas D. Garrett

Healthy aging delays and dedifferentiates high-level visual representations

This study investigates how healthy aging affects object recognition by analyzing delays and dedifferentiation in high-level visual representations using EEG, fMRI, and behavioral tasks.

Single-neuron spiking variability in hippocampus dynamically tracks sensory content during memory formation in humans

This study shows that hippocampal spiking variability tracks sensory content during memory formation and correlates with memory retention in humans.

Broadscale dampening of uncertainty adjustment in the aging brain

The paper examines how uncertainty adjustment changes with age using behavioral and neuroimaging data, finding older adults show reduced uncertainty adjustment compared to younger adults.

Modulation of neural variability: Age-related reduction, GABAergic basis, and behavioral implications

This study investigates how aging and GABA levels modulate neural variability during visual processing and links it to visual discrimination performance.

Neural variability compresses with increasing belief precision during Bayesian inference

The paper shows that neural variability decreases with higher belief precision during learning, using fMRI data from human participants.

A spatiotemporal complexity architecture of human brain activity

This study identifies complexity drops in functional MRI signals as a mechanism linking neural regularity to functional network architecture in the human brain.

Dynamic regulation of neural variability during working memory reflects dopamine, functional integration, and decision-making

This study examines how neural variability during working memory is regulated by dopamine, functional integration, and decision-making using PET and fMRI data.

Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent

The paper shows that EEG spectral exponents reflect changes in E:I balance and selective attention, and track stimulus spectral exponents in sensory cortices, predicting behavioral performance.

Thalamocortical excitability adjustments guide human perception under uncertainty

The paper shows that human cortical networks adjust excitability under uncertainty by switching between rhythmic and asynchronous states, with thalamocortical engagement playing a key role.

Boosting Brain Signal Variability Underlies Liberal Shifts in Decision Bias

The paper shows that a liberal shift in decision bias is linked to increased neural variability in frontal regions, highlighting its role in adapting to environmental demands.

Standard multiscale entropy reflects neural dynamics at mismatched temporal scales: What's signal irregularity got to do with it?

This paper challenges traditional interpretations of multiscale entropy (MSE) by showing its strong association with spectral power and highlighting issues in its time-scale interpretation using EEG data.

Higher performers upregulate brain signal variability in response to more feature-rich visual input

The paper finds that higher cognitive performers show greater brain signal variability in response to more complex visual stimuli, suggesting a link between neural variability and cognitive performance.

Single-trial characterization of neural rhythms: potentials and challenges

This paper extends a rhythm detection algorithm to analyze neural rhythms at the single-trial level, showing high specificity for alpha rhythms but variable subject performance.

Humans strategically shift decision bias by flexibly adjusting sensory evidence accumulation

The paper shows humans adjust decision bias by altering sensory evidence accumulation rates and cortical activity patterns in response to reward contingencies.

Local temporal variability reflects functional network integration in the human brain: On the crucial role of the thalamus

The paper examines how local temporal variability in the human brain relates to functional network integration, finding that thalamo-cortical variability upregulation is strongly associated with higher network integration.