Neural dynamics and brain function

The paper investigates neural bursting activity in human prefrontal and temporal brain areas during visual working memory and finds that gamma and beta bursting correlates with memory performance and is coupled via a phase-burst code.

The paper analyzes cortical wave dynamics in human brain development using iEEG data, finding age-related changes in wave speed and anatomical correlations.

This paper shows that hippocampal theta oscillations can be detected and tracked non-invasively using MEG, validated across rodent and human datasets.

The paper tests whether strong recurrence in a Drosophila neural circuit supports bistable attractors or oscillations, finding no robust evidence for bistability but strong amplification of oscillatory power.

This study shows that a 5-HT2A agonist increases 5-Hz oscillations in visual and retrosplenial cortex, suggesting enhanced top-down control of perception.

The paper shows novel spikes in the cortex disproportionately influence neighboring neurons through power-law scaling, suggesting critical dynamics enable efficient novelty detection.

The paper links aperiodic slope in EEG to glutamate levels in the human brain, suggesting it reflects excitatory tone.

This study shows aging changes how the brain uses prior expectations in decision-making, leading to stronger bias and reduced sensory precision, with neural changes in alpha and beta rhythms.

The paper shows that claustral input helps anterior cingulate cortex consolidate efficient, cue-selective strategies during task adaptation in mice.

The paper introduces a method to design spatiotemporal stimulation patterns for neural circuits using dynamical systems and data-driven approaches to improve efficacy and selectivity.

This study uses an artificial neural network to decode visual functions from invasive EEG data in monkeys, identifying region-specific roles in color, shape, and motion processing.

This study shows that traveling waves emerge in neural networks under biologically plausible constraints and support working memory, matching primate cortex recordings.

The paper investigates how alpha oscillations and aperiodic neural dynamics jointly influence visual temporal resolution, confidence, and reliance on prior experience using EEG data.

This paper introduces a spiking neural network framework that learns through bias currents instead of synaptic plasticity, achieving multi-task performance across classification, regression, and dynamical systems mimicry.

This paper introduces a neural module that enables pattern movement in a cortical layer while preserving shape, demonstrating gamma rhythm synchronization as a mechanism for neural computation.

The paper examines age and sex interactions on multiscale entropy and spectral power across the lifespan using MEG data from a large cohort.

The paper examines how beta-band burst dynamics in the motor cortex change with motor skill learning under adaptive and non-adaptive training conditions, showing reorganization of burst features with practice.

This paper compares working memory models in macaques and marmosets using connectomic data, finding differences in distractibility and showing that model outcomes can be swapped by adjusting circuit parameters.

This study shows that 40 Hz audiovisual stimulation improves attention performance and alters brain oscillations, with reduced delta power and increased lower alpha connectivity correlating with better task performance.

This study evaluates synergistic interactions between three short-term plasticity mechanisms in spiking neural networks to enhance working memory performance across diverse tasks.

This paper develops a laminar neural mass model to simulate Alzheimer's disease progression, showing that PV interneuron dysfunction drives early hyperexcitability and later hypoactivity through electrophysiological biomarkers.

This study replicates and extends previous MEG findings on alpha oscillations predicting retrospective duration estimation using EEG, but finds limitations due to experimental context and time-on-task effects.

The paper decodes animacy from ECoG data in the human anterior ventral temporal cortex, finding that semantic information is encoded by local populations and interacts with distributed cortical regions.

The paper investigates how spontaneous cortical activity in preterm infants reduces their excitability to external stimuli, revealing a refractory period mechanism.

The paper evaluates neural oscillatory mechanisms for communication in the human brain using MEG data, finding that power and phase coherence in specific frequency bands correlate with communication patterns.

This study investigates how individual alpha frequency (IAF) relates to time perception sensitivity using duration estimation and discrimination tasks, finding IAF correlates with precision but not bias in duration judgments.

This paper evaluates evolutionary search metaheuristics and approximate Bayesian computation for calibrating neural mass models to EEG data, finding ESMs more efficient and accurate.

The paper evaluates the reliability of resting-state EEG measures and their association with long-term memory in children and adults, finding alpha power as a reliable predictor in adults.

This study investigates the role of alpha oscillations in working memory, finding that sustained alpha activity reflects attentional prioritization rather than general memory maintenance.

The paper analyzes burst dynamics of slow and fast gamma rhythms in macaque V1, finding longer durations and latencies for slow gamma, supported by a computational model.