Nader Pouratian

The paper develops a computational model to explain action selection in cluttered environments by integrating goal pursuit and obstacle avoidance through a weighted combination of control policies.

This study evaluates how large language models improve P300 speller performance, showing up to 75% gains in typing speed and approaching theoretical limits.

The paper examines the preservation of anterior limb of the internal capsule (ALIC) topography in treatment-resistant psychiatric patients, finding it consistent with healthy and preclinical patterns.

The paper examines cortico-STN beta coupling in Parkinson's disease, finding it is confined to beta bursts rather than sustained during non-burst periods.

This study investigates how the brain generalizes emotions across individuals, finding that the insula encodes emotions and persons separately, enabling cross-person generalization.

This study identifies structure-function relationships in Parkinson's disease by linking cortical morphometry with neurophysiological activity using multimodal data.

The paper investigates the computational mechanisms of action switching, finding that it involves a pause mechanism after movement onset when target location is unknown, distinct from stopping processes.

The paper introduces an AI framework to simulate and predict mechanisms of consciousness and disorders, validated with neurophysiological data.

The paper shows that the insula uses overlapping neural patterns for recognizing self and others' emotions, while other regions use different patterns.

This paper investigates neural mechanisms of emotion processing bias in treatment-resistant depression using sEEG data from patients and controls, finding altered amygdala and prefrontal cortex activity patterns and their modulation by deep brain stimulation.

The paper characterizes visuomotor and proprioceptive information processing by analyzing the irregularity of instantaneous gamma frequency in neural recordings during goal-directed movements.

This study investigates the neurophysiological effects of deep brain stimulation (DBS) on prefrontal networks in limbic hubs, showing differential modulation of gamma oscillations and subject-specific responses.

The paper identifies a preserved cross-frequency cortical-thalamic communication channel during conscious states and shows its disruption in unconsciousness and enhancement in psychedelic states.

This paper introduces a wearable closed-loop neuromodulation system for recording single-neuron and local field potential activity in freely-moving humans.

This study develops a neurodynamical computational theory of action regulation and tests it in neurotypical individuals and Parkinson's disease patients, showing how disruptions in this mechanism lead to motor deficits.

The paper shows that motor representations remain stable after paralysis, enabling brain-computer interfaces to restore motor functions using preserved neural patterns.

The paper investigates how neural responses to observed and felt sensations are mediated by shared compositional building blocks rather than mirror neurons.

The paper compares movement execution and observation in Parkinson's patients by analyzing oscillatory activity and coupling in the basal ganglia-thalamocortical circuit, finding that certain network features are specific to movement execution.

This study shows that neurons in the human posterior parietal cortex encode both felt and imagined touch, suggesting a role in semantic processing and sensory anticipation.

This study identifies distinct roles of dorsal and ventral subthalamic neurons in action selection and cancellation during a stop-signal task in humans.

The paper shows that action verbs and observed actions share a neural substrate in human posterior parietal cortex, with invariant and idiosyncratic responses across views.

Dynamic electrical stimulation of visual cortex sites enables sighted and blind humans to perceive recognizable letter shapes without training.