1845 papers
This study demonstrates that the intrinsic timescale of neural dynamics follows a hierarchical sensorimotor-to-association cortical maturation pattern during youth (ages 8–22) before stabilizing in adulthood, establishing it as a principled marker of hierarchical brain development.
This study demonstrates that the human brain supports metacognitive access to working memory by multiplexing two distinct neural codes for uncertainty—representational precision encoded in alpha-band oscillations and a scalar confidence signal encoded in beta-band oscillations.
This study reveals that a prefrontal-thalamic pathway supplies a locomotion-invariant goal-state signal to the hippocampus, enabling CA1 to encode distinct navigation episodes along a dimension orthogonal to stable spatial maps without disrupting spatial consistency.
By comparing LFP data from a visual search task against three computational models, this study provides evidence for a hybrid account of brain hierarchy function where deep-layer activity aligns with Predictive Coding's input-specific optimization, while superficial-layer dynamics are better explained by predictive routing mechanisms.
This study demonstrates that during active visual search, foveal and peripheral attention operate in a complementary manner, with foveal feature-based attentional enhancements playing a critical and previously underappreciated role in sustaining target fixations and shaping global attention allocation.
This paper proposes a computational model that frames hippocampo-neocortical interaction as a compressive retrieval-augmented generation system, where the hippocampus stores and retrieves compressed episodic memories to guide a neocortical network in extracting generalizable semantic patterns for memory reconstruction and problem solving.
This study demonstrates that while the loss of FMRP reduces the levels of stalled ribosomes on specific mRNAs and impairs the reactivation of neuronal RNA granules containing stalled ribosomes, it does not determine the specific sites where ribosomes stall or alter ribosome structure.
This study identifies a novel, sexually dimorphic population of intrinsic CRF-expressing neurons in the mouse lateral habenula that modulate threat-induced defensive strategies through distinct cellular and synaptic mechanisms in males and females.
This paper identifies significant inaccuracies in the existing spatial coordinates of the Allen Human Brain Atlas, provides a refined coordinate set to correct these errors, and demonstrates that using the inaccurate coordinates can lead to drastically different and potentially compromised gene expression findings in neuroimaging studies.
This pre-clinical study demonstrates that multi-contact cuff electrodes can selectively activate motor fibers of the pudendal nerve to control the external urethral and anal sphincters in feline and ovine models, offering a promising approach for treating urinary incontinence.
This survey presents a comprehensive overview of how Foundation Models are transforming non-invasive brain decoding by establishing a unified framework for representation learning, neuro-semantic alignment, and generative reconstruction, while critically analyzing current applications, challenges, and the strategic path toward real-world deployment.
Using a closed-loop holographic optogenetics system, this study demonstrates that specific ensembles of both D1- and D2-medium spiny neurons in the dorsolateral striatum are necessary and sufficient to control granular forelimb actions, such as distinct push versus pull force patterns, providing a new framework for understanding specific movement impairments in disorders like Huntington's disease and dystonia.
By integrating Motion Sequencing (MoSeq) with a novel analysis pipeline, this study reveals that chronically epileptic mice exhibit fragile, dispersed behavioral networks and persistent racing behaviors, which are partially rescued by the anti-seizure medication carbamazepine, thereby establishing a framework for identifying clinically relevant phenotypes in epilepsy models.
This study demonstrates that stable, millisecond-scale neural firing sequences, initially observed in the mouse visual cortex, constitute a ubiquitous and weeks-long invariant scaffold of population activity across the entire mouse brain.
This study utilizes fMRI to demonstrate that understanding non-literal speech, such as irony and sarcasm, relies on the dynamic neural integration of affective prosody and semantics within a network involving the inferior frontal gyrus, temporal regions, and theory of mind areas, with behavioral evidence suggesting a dominance of prosodic cues.
By applying geometric analysis and neural network modeling to pituitary cell populations, this study reveals that intrinsic spontaneous activity drives directed coupling and transient bistability, forming a self-sustained oscillatory system essential for coordinating hormone secretion.
This study demonstrates that nonlinear functional brain network features derived from multiscale entropy analysis of resting-state fMRI data successfully predict individual differences in transcendent thinking among adolescents, outperforming conventional linear connectivity measures and showing no association with global intelligence.
By applying a hierarchical generative model (PV-RNN) to multimodal physiological data, this study reveals that interoceptive attention enhances the precision of latent brain-body interaction dynamics, a neural signature that correlates with adaptive body control and inversely with psychiatric vulnerabilities like anxiety and rumination.
This study reveals that female 5XFAD mice exhibit earlier and more severe amyloid-beta plaque formation and distinct microglial phagocytic responses compared to males during early disease stages, suggesting that sex-specific microglial dynamics contribute to the higher prevalence of Alzheimer's disease in women.
By analyzing single-nucleus RNA sequencing data from 226 adults, this study identifies microglial transcriptional programs, particularly IFN{gamma} signaling, as non-cell-autonomous drivers that predict inter-individual variation in neuronal aging pace, with a critical shift toward inflammatory microglial dominance emerging in midlife.