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This paper develops an AI-driven drug discovery framework for NALCN channelopathy, identifying aprepitant as a lead therapeutic candidate through HTS, structural modeling, and experimental validation.

The paper compares stabilization mechanisms in standing and walking using a lumped model, finding task-level organization of stabilization with consistent position-velocity gain ratios.

This study examines Ogerin's pharmacokinetics in mice and its effect on post-ischemia signaling, finding it most effective in acute hours after injection.

This paper introduces a network model inspired by the insect fan-shaped body that guides an agent's movement through memory and control loops.

This study shows that concept learning can rapidly alter early visual cortex responses and microstructure, independent of prior knowledge or hippocampal reactivation.

This paper introduces SSLD, a framework that learns shared neural-behavioral latent dynamics and private modality-specific variables, showing it accurately reconstructs signals and isolates behaviorally relevant information across multiple datasets.

This study reconstructs the development of short association fibers in the human fetal brain using diffusion MRI and histology validation, revealing their maturation patterns and implications for neurodevelopmental disorders.

This study shows that lateral recurrence in neural networks enhances identity separability in trained domains through dynamic refinement of representational geometry.

This paper shows that inner and overt speech have distinct arousal profiles, with inner speech showing reduced pupil dilation under varying cognitive loads.

The paper shows that moving visual stimuli elicit topographic and directional responses in most entorhinal neurons, revealing visual input's role in shaping their activity.

This study examines age-related changes in white matter microstructure using NODDI and their cognitive associations in adults, finding age-dependent differences in microstructural metrics and their coupling to cognitive domains.

The paper examines molecular adaptations in VTA neurons during fentanyl withdrawal, finding distinct transcriptional responses based on projection targets.

The paper uses a mechanistic model to simulate propofol's effects on brain circuits, identifying a dose-dependent biomarker confirmed in empirical data.

This study links changes in cerebral energy efficiency metrics to neural network reorganization in mice under different states.

This study investigates how state anxiety affects task disengagement in relation to trait anxiety, finding that trait anxiety reduces the impact of state anxiety on task disengagement.

The paper shows that leptin signaling through IKC complexes is critical for neurodevelopment, and that perinatal leptin supplementation can reverse defects in Kcnb1-null mice.

This study investigates how rare rewards affect performance and neural activity in rhesus monkeys during a color change detection task, finding detrimental changes in V4 population activity linked to perceptual choking.