Douglas A. Ruff

This study links neuronal population organization disruption to behavioral changes in a macaque model of early-stage Alzheimer's disease and related dementias.

The paper shows that reduced independence in neuronal representations predicts cognitive decline in Alzheimer's disease models and humans.

This study uses a spiking neuron network model to show that normalization strength heterogeneity in the visual cortex correlates with inhibitory current and enhances information encoding.

The paper examines multisensory integration in diverse populations and animals, finding age and neurodiversity-related differences in cue combination and distinct neural mechanisms for within- and across-modality integration.

The paper shows that shared variability in sensory neurons aligns with task-relevant features and action plans, and that this alignment enhances behaviorally relevant information.

The paper shows that brain areas differ in how they format information rather than just containing it, affecting decision-making through distinct neural coding strategies.

The paper investigates how neural activity fluctuates in response to multiple visual stimuli in different cortical areas, suggesting fluctuating activity may underlie visual object formation.

The paper shows that targeted gain modulation in V1 neurons supports task-adaptive sensory decisions by enabling rapid downstream readout of task-relevant information.

The paper investigates how visual cortex encodes information about multiple objects by analyzing coding fluctuations in V1 and V4 neurons, showing coordinated population-level responses when stimuli form separate objects.

This study uses methylphenidate to test neural coding hypotheses and uncover its effects on visual attention and neuronal variability in rhesus macaques.

The paper shows that visual attention enhances information flow between visual and motor neurons without altering their shared communication subspace.

The paper shows that multiple normalization processes in primate visual cortex affect population responses in a low rank manner, suggesting a shared mechanism.

This study investigates how visual attention affects neuronal representations and behavior, finding that attention reshapes stimulus representations rather than altering coding or readout mechanisms.

The paper shows that model cortical networks with physiologically accurate inhibitory coupling generate low-dimensional shared variability, matching in vivo recordings and explaining attentional modulation of variability between brain areas.

The paper investigates how neuronal populations in monkey V1 and V4 represent lightness perception through context-dependent stimuli and finds that while luminance and context are represented, their interaction remains unclear.

The paper shows that neuronal variability correlates with perceptual performance in visual tasks, suggesting shared mechanisms between attention and learning.