Marlene R. Cohen

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.

The paper shows that visual experience reshapes population activity in V4 by altering the geometry of neural responses to reflect temporal structure.

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 identifies neuronal signatures of one-shot memory in mid-level visual cortex, showing sparse coding and population response consistency predict memory performance.

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 orthogonal neural representations in V4 allow stable perception of object position despite irrelevant background features in natural scenes.

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 shows that coordinated response modulations in V4 enable flexible behavior by reformatting visual information for downstream neurons, without changing coding within the sensory area.

The paper investigates how task uncertainty affects cognitive flexibility by comparing human and monkey behavior with artificial neural networks, finding that feature interference causes performance costs.

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 shows that early visual cortex encodes signals for high-level object categorization, challenging the idea that only higher visual areas are involved.

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 shows that task-belief and perceptual decision-making are closely linked in macaques, with stronger task-belief associated with better perception.

The paper shows that perceptual performance and correlated variability in sensory cortex are inversely related due to observers using a general decoding strategy rather than optimal stimulus-specific decoding.

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.

This paper uses topological data analysis to link neural activity, cognitive processes, and behavior by showing how topological changes in neural populations relate to task performance and model discrimination.

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.