Neural dynamics and brain function

The paper shows that ephaptic coupling from mesoscale electric fields explains trial-to-trial variability in cortical oscillatory power during a spatial delay saccade task.

This paper identifies a disinhibitory basal forebrain to cortex projection that regulates sustained attention by modulating cortical gain based on motivational salience.

This study examines age-related differences in alpha power modulation during visual working memory with distractors, finding that younger adults, but not older adults, show alpha power changes in anticipation of distractors.

This study uses explainable machine learning to identify cortical activity patterns linked to pupil dilation during sensory and contextual stimuli in mice.

The paper models thalamocortical networks to show that electrical coupling in the TRN reduces cortical correlation to sensory inputs, increasing response rates and duration.

This study identifies HCN channels as enhancers of synchrony propagation in heterogeneous synfire chains under noisy conditions.

The paper explains neuronal network architecture through spatial continuity and validates it with a stochastic algorithm matching reference data.

The paper derives closed-form conditions for multistability, oscillations, and paradoxical responses in neural microcircuits using threshold-linear networks and applies them to different brain circuits.

This study shows that prefrontal neuronal ramping and theta activity occur during both freely-moving and head-fixed interval timing tasks in mice, suggesting they are features of temporal behavior rather than specific motor programs.

The paper examines how alpha and theta oscillations change with escalating risk during reward anticipation in sequential decision making, finding distinct patterns linked to attention and monitoring demands.

This study identifies a dynamical regime in cortical networks that allows reliable signal propagation while preserving local temporal dynamics.

This study shows that persistent gamma oscillations are more vulnerable to synaptic alterations in schizophrenia than stimulus-locked oscillations, explaining regional differences in gamma power deficits.

This study uses computational modeling to show that gap junctional coupling in molecular layer interneurons (MLIs) drives synchronization, primarily influenced by gap junction properties rather than dendritic properties.

This paper shows that excitability gradients in the hippocampus generate travelling waves and influence their interaction with the cortex, revealing directional asymmetry in communication.

This study introduces a new microscopy technique to track neocortical activity with high spatial and temporal resolution, revealing fundamental dynamical elements and their properties across different neural activity regimes.

This study uses tACS to test if beta-oscillations causally maintain perception-action representations, finding an aftereffect on binding performance only with short prime-probe intervals.

The paper identifies directional elements in brain dynamics that encode causal control hierarchies and show robustness to neural state manipulations.

This study shows that targeting spontaneous gamma oscillations in the parieto-occipital region via EEG neurofeedback reduces pain perception in healthy subjects.

The paper shows that syllable-specific neurons in songbirds use post-inhibitory facilitation and persistent network activity to enable stimulus-specific combination sensitivity over extended timeframes.

The paper shows that random connectivity in neural networks preserves representational similarity despite activity drift, applicable to biological circuits.

This study compares two spiking neural models of dopamine-driven reinforcement learning, finding that the disinhibition model outperforms the direct control model in learning tasks.

The paper shows thalamic input coordinates excitation and inhibition in motor cortex to reduce neural variability during movement initiation.

This paper introduces a competition-based model to capture EEG microstate duration dynamics and finds it fits well across 60 sessions with sequential dependency in one third of cases.

The paper shows that motivational states modulate attractor dynamics in the medial prefrontal cortex during working memory tasks, revealing how internal states control neural dynamics and cognitive function.

This study shows that newborns' brains tune near criticality in response to prenatal language exposure, with differential responses to familiar and unfamiliar languages based on rhythm similarity.

This study develops computational models showing that adolescent brain changes like pruning and myelination create strong attractors for emotionally salient memories, potentially contributing to psychiatric disorders.

This paper optimizes synaptic weights in a connectome-constrained neural network model of C. elegans to generate forward and backward locomotion without pacemaker neurons.

The paper shows that spontaneous bursts from the locus coeruleus (LC) in rats produce ECoG responses similar to those from sensory stimuli, suggesting LC drives transient brain state changes.

This study shows that rhythmic input improves sequential working memory by organizing recurrent neural dynamics around a dominant frequency, enhancing temporal-order representations.

The paper develops an algorithm to transform symmetric attractor models into functionally equivalent heterogeneous models, showing hidden symmetries in fly connectomes support ring attractor dynamics.