1834 papers
This study demonstrates that recurrent neural networks trained to classify sequences by their latent algebraic patterns spontaneously develop low-rank recurrent connectivity, which creates a structured population state space enabling the formation of abstract, identity-independent relational representations that support rapid generalization.
This study reveals that mouse locus coeruleus norepinephrine neurons are topographically organized by morphology, gene expression, and axonal projections, with distinct dorsal and ventral subpopulations encoding specific learning signals such as choice changes, reward prediction errors, and reward-related attention to support flexible behavior.
This study demonstrates that sex-specific synaptic plasticity mechanisms in the infralimbic cortex, including the necessity of amygdala-projecting neuron activity and GRIN2B-dependent structural remodeling for fear extinction, challenge the assumption of uniform neural processing between males and females and highlight the limitations of one-size-fits-all therapeutic approaches for memory-related disorders.
This study maps the molecular dynamics of learning in the mouse striatum by profiling transcriptomes across 396 biopsies from 66 mice, revealing that strong, widespread transcriptional changes occur primarily during early learning and providing an interactive web tool to explore these gene expression patterns.
This study utilizes single-cell transcriptomics and proteomics of projection neurons within the hippocampal-prefrontal circuit to reveal schizophrenia-associated molecular alterations, including region-specific phosphorylation changes, co-expression networks, and disrupted directional connectivity driven by glial interactions and inhibitory neuropeptide downregulation.
This paper proposes an alternative hypothesis for Alzheimer's disease suggesting that A{beta} plaques and tau tangles are not merely toxic waste but represent hypertrophic pathologies of a functional tanycyte-derived canal system where these proteins normally serve structural and regulatory roles in brain waste removal.
This study demonstrates that in a C. elegans model of Alzheimer's disease, endogenous tau (PTL-1) mediates APOE4-induced, spatiotemporally patterned neurodegeneration and behavioral decline, as its removal suppresses these defects and reveals non-cell autonomous axon dysmorphia.
This study introduces a novel muscle network analysis framework that identifies distinct patterns of redundant and synergistic muscle interactions as biomarkers to stratify post-stroke motor impairment and therapeutic responsiveness, revealing a shift from redundancy to synergy as a hallmark of effective motor recovery.
This paper presents a model demonstrating how a dynamic gating mechanism allows widely broadcast graded signals to be selectively received by different neuronal populations, thereby enabling continuous evidence accumulation and decision-making across changing frames of reference without requiring changes in synaptic connectivity.
This study demonstrates that multiplexed computation in macaque motor cortex arises not from specialized single-layer processing but from the coordinated, temporally dynamic reorganization of laminar subspaces, where subtle variations in layer weights enable distinct coding representations to coexist and propagate along structured trajectories as task demands evolve.
This paper presents a novel automated machine learning framework that integrates discrete differential geometry and 3D image processing to accurately segment and analyze dendritic spine morphology in dense neural networks, thereby overcoming the limitations of manual annotation and accelerating research into synaptic plasticity and neurological disorders.
This study integrates human embryonic spinal cord single-cell data to create a reference atlas that validates stem cell-derived dorsal interneurons and identifies autism spectrum disorder-associated gene signatures within mechanosensory populations, thereby clarifying the molecular basis of human somatosensory circuit development.
This paper describes a community-based participatory approach in Bradford, UK, where adolescents co-designed and prioritized research themes for a new developmental neuroimaging program, revealing mental health and stress as top concerns while highlighting demographic variations in other interests.
This study demonstrates that a commensal-derived lipoteichoic acid (SELTA) activates TLR2 signaling in dorsal root ganglion neurons to induce PD-1 expression, which subsequently suppresses intracellular calcium responses and alleviates inflammatory pain through a neuroimmune checkpoint mechanism.
The study identifies UB-ALT-P2, a novel brain-penetrant P2X7 receptor antagonist, as a potent therapeutic agent that mitigates core Alzheimer's disease pathologies, including amyloid-beta plaques, tau hyperphosphorylation, and neuroinflammation, while improving cognitive function in mouse models.
This study demonstrates that while serotonin 2A receptors in cortical layer 5 pyramidal neurons are necessary and sufficient for psilocybin-induced neuroplasticity, they are dispensable for the drug's hallucinogenic effects, thereby dissociating these two distinct outcomes.
This paper presents a multi-stage Graph Attention Network framework that integrates gene-level risk scores, pathway-based graph structures, and whole-genome polygenic risk scores to achieve superior Alzheimer's Disease classification accuracy and biological interpretability compared to traditional methods.
This study is the first to demonstrate that HIV-exposed but uninfected adolescents exhibit subtle structural and functional connectivity alterations in the central auditory system, particularly within the inferior colliculus and its cortical connections, without yet showing measurable associations with neurocognitive deficits.
The paper introduces Incremental Cluster TFCE (IC-TFCE), an optimized algorithm that achieves numerically equivalent results to standard Threshold-Free Cluster Enhancement with a 3–93x speedup by incrementally building clusters and utilizing ROI-based storage, thereby making TFCE computationally feasible for large-scale functional connectivity analyses with fine parcellations.
This paper reframes Global Signal Removal (GSR) in fMRI as a family of graph spatial filters, demonstrating that the common Regression-GSR method acts as an oblique projection approximating first eigenmode removal and introducing new variants like PCA-GSR and SC-GSR to systematically control their effects on network connectivity and task-state separability.