Christos Constantinidis

The paper tests competing theories of working memory by analyzing neuronal activity in macaques, showing that persistent and dynamic activity interact to decode stimuli.

This paper introduces flexible microelectrode arrays for stable, repeated neural recordings in awake non-human primates, showing reduced single-unit drift compared to rigid electrodes.

This study tracks the development of response inhibition in adolescent macaques, showing that behavioral improvements and neural maturation are linked to white matter pathway development.

This study shows that efficient neural representations in working memory can lead to errors, and cholinergic stimulation improves performance by using more distinct representations.

This study examines how rule learning affects prefrontal cortex activity in monkeys across different tasks, identifying both task-specific and generalized neural mechanisms.

This study characterizes age-related hearing loss in rhesus macaques through histological, physiological, and cognitive assessments, finding correlations between auditory deficits and cognitive impairments.

This paper introduces BrainRNN, a brain-like recurrent neural network architecture, and shows that structural constraints lead to functional organization similar to the human cortex.

The paper investigates working memory maintenance by analyzing neural activity in macaques, finding that asynchronous firing and off-states contribute to memory persistence.

The paper investigates how intrinsic neural timescales develop across adolescence in multiple species, finding reductions linked to improved cognitive function and structural changes.

NERV provides a Unity-based framework for designing and executing neuroscience experiments with millisecond precision, reproducibility, and hardware synchronization.

The paper records single neurons in macaque dorsolateral prefrontal cortex during visual, auditory, and audiovisual motion, showing multisensory integration and nonlinear responses.

KenazLBM is a model that characterizes and predicts brain states from raw iEEG data, generalizing across subjects with heterogeneous recording channels.

This paper analyzes peri-ictal network dynamics in drug-resistant epilepsy patients to show that NIZs increase inhibitory signaling to SOZs during seizures, but this suppression is insufficient to prevent seizure onset.

This study identifies reward circuitry activity predictive of risk-taking in humans using local field potential recordings during a gambling task.

Daily intermittent basal forebrain stimulation improves working memory in senescent monkeys and retains benefits over time.

This study links neural activity during laboratory working memory tasks to neuropsychological test performance in human epilepsy patients.

The paper examines if spatial and shape information in the primate prefrontal cortex is organized in clusters, finding that some organization exists even before training.

This study creates normative brain growth charts for rhesus macaques across their lifespan using MRI data, revealing developmental milestones and cross-species comparisons with humans.

This study shows that neural activity patterns in the prefrontal cortex predict cognitive improvements during adolescence, with long-distance white matter tracts playing a key role.

This study shows prefrontal neurons in monkeys rotate stimulus representations in low-dimensional space during passive viewing, with some transformations persisting after task training and distinguishing correct from error trials.

The paper examines how motor control affects mesolimbic local field potentials using electrophysiological recordings during a stop-signal task.

This paper introduces BrainState, a self-supervised method to model complex brain states from EEG data, applied to epilepsy patients to capture pre-seizure states and neuromodulation effects.

The paper shows that cholinergic neuromodulation improves spatial working memory by altering prefrontal attractor dynamics through increased neural excitability and reduced correlations.

This study examines how training affects timescales of neural dynamics in primate prefrontal cortex and their role in working memory.

The paper examines microcircuit activity in macaque dlPFC using calcium imaging, showing that spontaneous activity is maintained by microcircuit architecture and correlates with cognitive performance.

The paper examines how working memory-related neural activity changes with adolescent development in non-human primates, finding that the most significant changes occur in intermediate cortical layers rather than superficial layers.

The paper analyzes LFP activity in the human brain during visual working memory tasks to identify task-related oscillatory patterns across different brain regions.

The paper compares single-neuron and population measures of neuronal activity in spatial working memory tasks in monkeys, finding that population measures provide a richer view while confirming persistent activity as a core mechanism.

This paper develops a deep learning model to accurately segment the nucleus basalis of Meynert on 3T MRI, showing improved performance over standard atlases in both healthy subjects and TLE patients.

The paper compares persistent and activity-silent neurons in the primate prefrontal cortex to determine their role in working memory, finding that persistent activity neurons carry more information about stimuli.